{
 "entity": "grok-4-5",
 "entity_type": "model",
 "category": "Best-value API",
 "suite": "suite-2026-07",
 "model": "x-ai/grok-4.5",
 "judges": [
  "anthropic/claude-sonnet-5",
  "google/gemini-3.1-pro-preview",
  "openai/gpt-5.6-terra"
 ],
 "judge_protocol": "judge-2026-08",
 "anchors": "solo-2026-08-a",
 "score": 92,
 "caps": 5,
 "cost_usd": 0.4792,
 "started_at": "2026-08-11T18:15:42.398Z",
 "finished_at": "2026-08-11T18:17:58.605Z",
 "tasks": [
  {
   "id": "w1",
   "name": "Cold email",
   "prompt": "Write a cold email (max 120 words) from the owner of a 6-person UK accounting firm to a local brewery, offering a free first-month bookkeeping trial. Friendly but professional, one clear call to action, no buzzwords.",
   "output": "**Subject:** Free first-month bookkeeping for [Brewery Name]\n\nHi [Owner’s name],\n\nI’m [Your name], owner of [Firm Name], a six-person accounting firm based here in [town/city]. We look after the books for a handful of local businesses and I thought your brewery might find a no-obligation trial useful.\n\nWe’re happy to handle your bookkeeping free for the first month so you can see exactly how we work. After that it’s entirely up to you.\n\nIf you’d like to go ahead, just reply to this email with a good time for a quick call and we’ll get started.\n\nAll the best,  \n[Your name]  \nOwner, [Firm Name]  \n[Phone]",
   "latency_ms": 10612,
   "cost": 0.0029804,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Meets word limit, friendly tone, clear CTA, no buzzwords; minor placeholder-heavy structure but otherwise strong and professional."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The email perfectly follows all instructions. It is well under the 120-word limit, adopts the correct persona, includes a clear CTA, avoids buzzwords, and maintains a friendly yet professional tone."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Meets the 120-word limit, clearly identifies a six-person UK-local firm, offers a free first month, uses a friendly professional tone, avoids meaningful buzzwords, and gives one clear reply-based call to action."
    }
   ]
  },
  {
   "id": "w2",
   "name": "Product description",
   "prompt": "Write a 60-80 word product description for a stainless-steel insulated water bottle (750ml, keeps drinks cold 24h/hot 12h, leakproof, fits car cup holders). Target audience: gym-goers. Avoid cliches like 'stay hydrated in style'.",
   "output": "This 750ml stainless-steel insulated water bottle is built for serious gym-goers. It keeps your drinks ice-cold for 24 hours or piping hot for 12, ideal for intense workouts and recovery drinks. Leakproof construction prevents messes in your gym bag, and the contoured design slips easily into car cup holders. Tough enough for daily training, it delivers consistent performance to fuel your fitness goals.",
   "latency_ms": 15343,
   "cost": 0.0063244,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Accurate, meets word count (~63), avoids cliché, covers all specs, clear and useful for gym-goers."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly meets all constraints, including the 60-80 word limit (63 words). It includes all required features, effectively targets gym-goers without using cliches, and is clear, concise, and highly useful."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Meets the 60–80 word requirement at 63 words, includes all specified features, targets gym-goers, avoids the prohibited cliché, and is clear, accurate, and concise."
    }
   ]
  },
  {
   "id": "w3",
   "name": "Summarise messy notes",
   "prompt": "Turn these messy meeting notes into a clean 5-bullet summary a director could read in 20 seconds:\n\n'ok so launch slipped again, marc says supplier issue?? maybe 3 wks. sarah wants to push the email campaign anyway but tom thinks wait. budget - we're 8k over, mostly the packaging redo. Q: do we tell retail partners now or after new date confirmed. also NEED to hire the warehouse temp before august rush. next mtg tues.'",
   "output": "- Launch delayed ~3 weeks due to supplier issue (per Marc)\n- Debate on email campaign: Sarah wants to proceed now; Tom advises waiting\n- $8K over budget, driven mainly by packaging redo\n- Decide timing to notify retail partners (now vs. after new date locked)\n- Hire warehouse temp before August rush; next meeting Tuesday",
   "latency_ms": 5179,
   "cost": 0.0020144,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Accurate, concise, exactly 5 bullets covering all key points, director-readable in 20 seconds."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all instructions, providing exactly 5 clear, concise bullets that accurately summarize the messy notes. It is highly useful for a busy director."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Accurately captures all key updates, decisions, budget issue, staffing need, and next meeting in exactly five concise, director-ready bullets."
    }
   ]
  },
  {
   "id": "w4",
   "name": "Tone rewrite",
   "prompt": "Rewrite this complaint reply so it is warm, takes responsibility, and keeps the same facts, in under 90 words:\n\n'Your order was delayed because of a system error on our side. The refund has been processed and will arrive in 3-5 days. We cannot offer further compensation. Let us know if you have questions.'",
   "output": "We’re truly sorry your order was delayed due to a system error on our side—that’s on us, and we take full responsibility. Your refund has already been processed and should arrive in 3–5 days. We’re unable to offer further compensation, but please let us know if you have any questions.",
   "latency_ms": 4561,
   "cost": 0.0014564,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Warm, takes responsibility, preserves facts, under 90 words (46). Clear and concise, minor stylistic redundancy but strong overall."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all instructions. It is warm, explicitly takes responsibility, retains all original facts, and is well under the 90-word limit."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Warm, accountable rewrite preserves all facts: system error, refund processed with 3–5 day timeline, no further compensation, and invitation for questions. It is clear, professional, and well under 90 words."
    }
   ]
  },
  {
   "id": "w5",
   "name": "Headlines",
   "prompt": "Write 5 headline options (max 9 words each) for a blog post about how small restaurants can use AI to reduce food waste. Mix: 2 practical, 2 curiosity-driven, 1 with a number.",
   "output": "**Headline Options:**\n\n1. How Small Restaurants Use AI to Cut Waste  \n2. Practical AI Tips to Reduce Restaurant Food Waste  \n3. Can AI Really End Your Kitchen’s Food Waste?  \n4. The Surprising AI Secret Behind Less Food Waste  \n5. 5 AI Ways Small Restaurants Slash Food Waste",
   "latency_ms": 9266,
   "cost": 0.0031304,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Meets word limits, mix requirements, includes number headline; clear and useful, minor stylistic redundancy but solid overall."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all instructions, providing exactly 5 headlines under the 9-word limit. The mix of practical, curiosity-driven, and numbered headlines is spot on, and the content is highly relevant and clear."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Exactly five headlines, each under nine words. The mix is satisfied: two practical, two curiosity-driven, and one numbered option. All are clear, relevant, and useful for small-restaurant audiences."
    }
   ]
  },
  {
   "id": "c1",
   "name": "Bug fix",
   "prompt": "This JavaScript function should return the median of a numeric array but gives wrong answers for even-length arrays and mutates the input. Fix both issues, return only the corrected function with a one-line explanation:\n\nfunction median(arr) {\n  arr.sort();\n  const mid = Math.floor(arr.length / 2);\n  return arr[mid];\n}",
   "output": "```js\nfunction median(arr) {\n  const sorted = [...arr].sort((a, b) => a - b);\n  const mid = Math.floor(sorted.length / 2);\n  return sorted.length % 2 === 0 ? (sorted[mid - 1] + sorted[mid]) / 2 : sorted[mid];\n}\n```\nCopies then numerically sorts to avoid mutation/lex-sort; averages the two middle values for even length.",
   "latency_ms": 7939,
   "cost": 0.0030884,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Correct fix, non-mutating, proper numeric sort, concise one-line explanation as requested."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly fixes both issues (and the implicit numeric sort bug), avoids mutating the input, and provides exactly the requested corrected function and a concise one-line explanation."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Correctly avoids mutating the input via a copy, uses numeric sorting, and averages the two middle values for even lengths. It returns only the function plus a concise one-line explanation."
    }
   ]
  },
  {
   "id": "c2",
   "name": "Small feature",
   "prompt": "Write a Python function `chunk_invoices(invoices, max_total)` that takes a list of dicts like {'id': 'A1', 'amount': 120.5} and groups them into batches where each batch's summed amount does not exceed max_total. A single invoice larger than max_total goes in its own batch. Preserve order. Include 3 test cases using assert.",
   "output": "```python\ndef chunk_invoices(invoices, max_total):\n    \"\"\"Group invoices into batches whose amounts sum to at most max_total.\n\n    Order is preserved. An invoice larger than max_total is placed in its\n    own batch.\n    \"\"\"\n    batches = []\n    current_batch = []\n    current_sum = 0.0\n\n    for inv in invoices:\n        amount = inv['amount']\n        if current_batch and current_sum + amount > max_total:\n            batches.append(current_batch)\n            current_batch = []\n            current_sum = 0.0\n        current_batch.append(inv)\n        current_sum += amount\n\n    if current_batch:\n        batches.append(current_batch)\n\n    return batches\n\n\n# Test 1: basic packing that fills multiple batches\ninvoices1 = [\n    {'id': 'A1', 'amount': 100.0},\n    {'id': 'A2', 'amount': 50.0},\n    {'id': 'A3', 'amount': 80.0},\n    {'id': 'A4', 'amount': 30.0},\n]\nassert chunk_invoices(invoices1, 150.0) == [\n    [{'id': 'A1', 'amount': 100.0}, {'id': 'A2', 'amount': 50.0}],\n    [{'id': 'A3', 'amount': 80.0}, {'id': 'A4', 'amount': 30.0}],\n]\n\n# Test 2: invoice larger than max_total gets its own batch\ninvoices2 = [\n    {'id': 'B1', 'amount': 50.0},\n    {'id': 'B2', 'amount': 200.0},\n    {'id': 'B3', 'amount': 40.0},\n]\nassert chunk_invoices(invoices2, 100.0) == [\n    [{'id': 'B1', 'amount': 50.0}],\n    [{'id': 'B2', 'amount': 200.0}],\n    [{'id': 'B3', 'amount': 40.0}],\n]\n\n# Test 3: everything fits in one batch; empty input\ninvoices3 = [\n    {'id': 'C1', 'amount': 10.0},\n    {'id': 'C2', 'amount': 20.0},\n]\nassert chunk_invoices(invoices3, 100.0) == [invoices3]\nassert chunk_invoices([], 50.0) == []\n```",
   "latency_ms": 21316,
   "cost": 0.0100864,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Correct, handles edge cases, preserves order, includes required tests, clear and concise."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The function correctly implements the batching logic, handles oversized invoices properly, preserves order, and includes the requested 3 assert-based test cases. The code is clean and efficient."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Correctly preserves order, creates sequential batches within the limit, and isolates oversized invoices. Includes three clearly labeled assert-based test cases, additionally checking empty input. Clear, concise, and directly usable."
    }
   ]
  },
  {
   "id": "c3",
   "name": "Explain code",
   "prompt": "Explain to a junior developer, in under 150 words, what this code does and one risk of using it:\n\nconst cache = new Map();\nfunction memo(fn) {\n  return (...args) => {\n    const k = JSON.stringify(args);\n    if (!cache.has(k)) cache.set(k, fn(...args));\n    return cache.get(k);\n  };\n}",
   "output": "**What it does:**  \nThis is a simple memoization helper. `memo` takes any function `fn` and returns a wrapped version. The wrapper turns the arguments into a string key via `JSON.stringify`, checks a shared `Map` cache, and only calls `fn` on a cache miss. Later calls with the same arguments reuse the stored result instead of recomputing.\n\n**One risk:**  \nThe cache is module-level and never cleared, so it grows forever. Long-running apps can leak memory, especially with many unique argument combinations. (Serialization quirks with objects, `undefined`, etc. are another common pitfall.)",
   "latency_ms": 7657,
   "cost": 0.0025984,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Accurate, clear, concise explanation with correct risk identified; slightly over-detailed but within word limit likely (~130 words), well suited for junior dev."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly explains the code's purpose and accurately identifies a major risk (memory leak). It is clear, concise, well under the 150-word limit, and perfectly tailored for a junior developer."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Accurately explains memoization, JSON-based keys, cache hits/misses, and result reuse. Identifies a clear, relevant risk: an unbounded module-level cache can cause memory growth. It is concise, junior-friendly, and under 150 words."
    }
   ]
  },
  {
   "id": "c4",
   "name": "SQL query",
   "prompt": "Given tables orders(id, customer_id, created_at, total) and customers(id, name, country), write a single SQL query returning each country's top 3 customers by lifetime spend in 2025, with columns country, name, total_spend, rank. Use a window function. Standard PostgreSQL.",
   "output": "```sql\nWITH customer_spends AS (\n  SELECT\n    c.country,\n    c.name,\n    SUM(o.total) AS total_spend\n  FROM customers c\n  JOIN orders o ON o.customer_id = c.id\n  WHERE o.created_at >= '2025-01-01'\n    AND o.created_at < '2026-01-01'\n  GROUP BY c.id, c.country, c.name\n),\nranked AS (\n  SELECT\n    country,\n    name,\n    total_spend,\n    RANK() OVER (PARTITION BY country ORDER BY total_spend DESC) AS rank\n  FROM customer_spends\n)\nSELECT country, name, total_spend, rank\nFROM ranked\nWHERE rank <= 3\nORDER BY country, rank;\n```",
   "latency_ms": 7721,
   "cost": 0.0033264,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Correct, uses window function, filters 2025, handles ties reasonably with RANK, clear and concise, satisfies all requirements."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The query perfectly fulfills all requirements, correctly uses window functions and CTEs, accurately filters for 2025, and returns the exact requested columns."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Correctly aggregates each customer's 2025 order totals, ranks customers within each country using a window function, filters to ranks 1–3, and returns the requested columns. Date filtering is appropriate for PostgreSQL timestamps."
    }
   ]
  },
  {
   "id": "c5",
   "name": "Regex",
   "prompt": "Write a regex that matches UK postcodes like 'SW1A 1AA', 'M1 1AE', 'B33 8TH' (allow lowercase and optional space), and a one-line JavaScript example using it to validate a form field. Briefly note one edge case your regex does NOT handle.",
   "output": "**Regex:** `/^[A-Za-z]{1,2}\\d[A-Za-z\\d]?\\s?\\d[A-Za-z]{2}$/`\n\n**One-line JS example:** `const valid = /^[A-Za-z]{1,2}\\d[A-Za-z\\d]?\\s?\\d[A-Za-z]{2}$/.test(form.field.value);`\n\n**Edge case not handled:** Special postcodes such as `GIR 0AA` (and most BFPO / overseas formats).",
   "latency_ms": 11665,
   "cost": 0.0040564,
   "task_score": 8,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Correct regex, valid JS one-liner, plausible edge case noted. Concise and meets all instructions well."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly fulfills all requirements: provides a correct regex, a valid one-line JS example, and accurately identifies an edge case (GIR 0AA) not handled by the simplified regex."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 8,
     "violates": false,
     "reasoning": "Matches the examples, lowercase, and optional space; JS is genuinely one line. It correctly excludes GIR 0AA as stated. However, it permits some structurally invalid postcode letter combinations and does not enforce official area/district r"
    }
   ]
  },
  {
   "id": "r1",
   "name": "Multi-step logic",
   "prompt": "A bakery sells loaves at £3.20. Ingredients cost £1.10/loaf, labour £0.90/loaf, fixed costs £480/week. They sell 450 loaves/week. A supplier offers ingredients at £0.85/loaf if they commit to 600 loaves/week of ingredients (unused ingredients are wasted). Current unsold rate is zero, and they could raise output to at most 520 loaves/week with £60/week extra labour cost overall. Should they take the deal? Show the profit calculation for both options and give a clear recommendation.",
   "output": "The bakery’s current weekly profit is calculated as follows:\n\n- Revenue: \\(450 \\times 3.20 = 1440\\)\n- Ingredients: \\(450 \\times 1.10 = 495\\)\n- Labour: \\(450 \\times 0.90 = 405\\)\n- Fixed costs: \\(480\\)\n- Total costs: \\(495 + 405 + 480 = 1380\\)\n- Profit: \\(1440 - 1380 = 60\\)\n\nUnder the supplier deal the bakery must purchase ingredients for 600 loaves, so the ingredients cost becomes a sunk outlay of \\(600 \\times 0.85 = 510\\). Maximum feasible output rises to 520 loaves and incurs an extra labour cost of 60 (total labour = \\(405 + 60 = 465\\)). All 520 loaves can be sold. The resulting weekly profit is:\n\n- Revenue: \\(520 \\times 3.20 = 1664\\)\n- Ingredients: \\(510\\)\n- Labour: \\(465\\)\n- Fixed costs: \\(480\\)\n- Total costs: \\(510 + 465 + 480 = 1455\\)\n- Profit: \\(1664 - 1455 = 209\\)\n\nBecause \\(209 > 60\\), the deal raises weekly profit by 149 and should be accepted. (Producing fewer than 520 loaves would only reduce revenue while leaving the ingredients outlay unchanged, so the maximum output of 520 is optimal.)\n\nFinal answer: yes (profit £209 vs £60)",
   "latency_ms": 17118,
   "cost": 0.0060924,
   "task_score": 9,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Correct calculations, clear comparison, sound recommendation with rationale; minor lack of explicit table formatting but overall accurate and clear."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response accurately calculates the profit for both scenarios, factoring in all costs correctly, and provides a clear, well-reasoned recommendation. The layout is highly readable and concise."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 6,
     "violates": false,
     "reasoning": "Arithmetic is correct under the unstated assumption that all 520 loaves can be sold. Zero current unsold stock does not establish demand for 520, so the unconditional recommendation is unsupported; it should be conditional on selling suffic"
    }
   ]
  },
  {
   "id": "r2",
   "name": "Planning",
   "prompt": "Plan the launch week for a small online course (already recorded). Resources: one founder, a part-time VA (10h), email list of 2,000, £300 ad budget. Produce a 7-day plan, one line per day, each line naming the owner. Flag the single riskiest dependency.",
   "output": "**7-Day Launch Week Plan**\n\n- **Day 1**: Founder finalizes sales page, pricing, and email sequence; VA sets up basic tracking links and schedules welcome/launch emails.  \n- **Day 2**: Founder records/sends teaser content + personal story email to list; VA segments list and preps cart-open sequence.  \n- **Day 3**: Founder goes live or posts high-engagement value content; VA launches £100 warm-audience ads (retargeting + lookalikes from list engagers).  \n- **Day 4 (Cart Open)**: Founder sends cart-open email + personal outreach to engaged subscribers; VA monitors inbox, fulfills early buyers, adjusts ad creative.  \n- **Day 5**: Founder hosts Q&A or sends social-proof/objection-handling email; VA scales winning ads with remaining budget and handles support.  \n- **Day 6**: Founder sends urgency/scarcity email + last-push content; VA optimizes ads toward converters and prepares close sequence.  \n- **Day 7 (Cart Close)**: Founder sends final deadline email and closes cart; VA turns off ads, processes last sales, and compiles simple results summary.\n\n**Single riskiest dependency**: Email list engagement/deliverability (the 2,000-person list is the primary free channel; if open rates or reach are weak, the £300 ads and founder effort cannot fully compensate).",
   "latency_ms": 10188,
   "cost": 0.0027984,
   "task_score": 8,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Clear one-line-per-day plan with owners named per line, budget/resources used sensibly, risk flagged. Minor: some lines have two owners/tasks; not fatal but slightly dense."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 8,
     "violates": false,
     "reasoning": "Follows all instructions, including constraints. The VA's workload might slightly exceed 10 hours given the ad management and support tasks, but the plan is highly practical and well-structured."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 7,
     "violates": false,
     "reasoning": "Clear seven-day structure with named owners and a sensible primary risk. However, VA tasks likely exceed the stated 10 hours, ad allocation is vague, and list-based lookalikes may be impractical with limited audience data."
    }
   ]
  },
  {
   "id": "r3",
   "name": "Trade-off analysis",
   "prompt": "A 12-person agency must choose: (A) hire a mid-level developer at £55k, or (B) contract overflow work to freelancers at roughly £400/day, expected 60 days/year. Give a recommendation in under 200 words covering cost, flexibility, quality risk, and one non-obvious factor.",
   "output": "**Recommendation: Choose (B) freelancers.**\n\n**Cost:** Freelancers total ~£24k/year (400×60). A full-time hire is £55k salary plus ~25-30% on-costs (NI, pension, benefits, equipment), i.e. £70k+, and you pay whether utilised or not. Clear win for B on pure overflow volume.\n\n**Flexibility:** B scales instantly with demand and stops when work dries up. A permanent hire creates fixed capacity and potential under-utilisation in a 12-person agency.\n\n**Quality risk:** A offers more consistency, code-base familiarity and accountability. B carries higher variance (vetting, context-switching, availability) and less long-term ownership—mitigate with strong briefs, trials and a small preferred roster.\n\n**Non-obvious factor:** Knowledge leakage and bus-factor. Freelancers leave with tacit understanding of your clients/stack; a hire compounds internal capability and reduces key-person risk over time, but only if you actually have steady work to absorb them.\n\nFor pure overflow at 60 days, freelancers are the rational default; revisit hiring only if overflow becomes recurring core load.",
   "latency_ms": 17800,
   "cost": 0.0050944,
   "task_score": 9,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 7,
     "violates": false,
     "reasoning": "Accurate cost/flex/risk analysis with a solid non-obvious factor; slightly over conversational structure but concise, clear, under 200 words, useful recommendation."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all instructions, including the word count constraint. It covers all required points clearly, concisely, and accurately, making it highly useful for a busy professional."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 9,
     "violates": false,
     "reasoning": "Accurate cost comparison and clear recommendation tied to 60 days/year. Covers flexibility, quality risk, mitigation, and a genuinely non-obvious knowledge-retention factor. Concise and under 200 words; only minor overstatement is that free"
    }
   ]
  },
  {
   "id": "r4",
   "name": "Maths word problem",
   "prompt": "A tank holds 2,400 litres. Pump A fills at 40 L/min. Pump B drains at 25 L/min. A runs from 09:00. B accidentally switches on at 09:20. At 10:00 B is switched off. At what time is the tank full? Show your working.",
   "output": "The tank has a capacity of \\(2400\\) L.  \nPump A fills at \\(40\\) L/min and starts at \\(09:00\\).  \nPump B drains at \\(25\\) L/min, starts at \\(09:20\\) and is switched off at \\(10:00\\).\n\n**Step 1: \\(09:00\\) to \\(09:20\\) (only A running)**  \nTime interval \\(= 20\\) min.  \nVolume added \\(= 20 \\times 40 = 800\\) L.  \nVolume in tank at \\(09:20\\): \\(800\\) L.\n\n**Step 2: \\(09:20\\) to \\(10:00\\) (A and B both running)**  \nTime interval \\(= 40\\) min.  \nNet rate \\(= 40 - 25 = 15\\) L/min.  \nVolume added \\(= 40 \\times 15 = 600\\) L.  \nVolume in tank at \\(10:00\\): \\(800 + 600 = 1400\\) L.\n\n**Step 3: After \\(10:00\\) (only A running)**  \nVolume still needed \\(= 2400 - 1400 = 1000\\) L.  \nTime required \\(= 1000 / 40 = 25\\) min.  \nThus the tank is full at \\(10:25\\).\n\nFinal answer: \\(10:25\\)",
   "latency_ms": 7555,
   "cost": 0.0038124,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 10,
     "violates": false,
     "reasoning": "Calculations correct, clear step-by-step working, arrives at correct time 10:25, well formatted and concise."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The mathematical calculations are perfectly accurate. The step-by-step working is clear, concise, and easy to follow, arriving at the correct final time of 10:25."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 3,
     "violates": false,
     "reasoning": "The arithmetic is correct only if the tank is empty at 09:00, but the task never states its initial contents. Therefore the filling time cannot be determined uniquely; the response should identify this missing assumption or state its answer"
    }
   ]
  },
  {
   "id": "r5",
   "name": "Catch the flaw",
   "prompt": "Find the flaw in this argument and explain it in under 100 words: 'Our churn dropped from 6% to 3% after we introduced the loyalty programme in March, so the programme cut churn in half. We should double the loyalty budget to cut churn to 1.5%.'",
   "output": "**Correlation ≠ causation; no linear scalability.**\n\nThe drop after March doesn’t prove the programme caused it—other factors (seasonality, competitors, pricing, etc.) could explain the change. Even if it did, doubling spend won’t automatically halve churn again; effects have diminishing returns and floors. The argument commits post-hoc and false-proportionality fallacies.",
   "latency_ms": 6066,
   "cost": 0.0018324,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Correctly identifies causation flaw and diminishing returns issue, concise, under 100 words, useful and clear. Could name confounders more concretely for non-technical reader."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly identifies the two main logical flaws (post hoc fallacy and assuming linear returns), explains them clearly, and strictly adheres to the under 100 words constraint."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Accurately identifies both unsupported causal attribution and unjustified linear extrapolation. It gives plausible confounders and explains diminishing returns/floors clearly. It is concise, professional, and well under 100 words."
    }
   ]
  },
  {
   "id": "e1",
   "name": "Messy to JSON",
   "prompt": "Extract to JSON with keys name, company, phone, email, intent:\n\n'hiya - jules moreau here from Atelier Nord (the lighting people). best number is 07700 900 457, or jules@ateliernord.fr. we're after a quote for the workshop series u mentioned, ideally b4 sept'\n\nReturn only valid JSON.",
   "output": "{\n  \"name\": \"jules moreau\",\n  \"company\": \"Atelier Nord\",\n  \"phone\": \"07700 900 457\",\n  \"email\": \"jules@ateliernord.fr\",\n  \"intent\": \"quote for the workshop series ideally before sept\"\n}",
   "latency_ms": 3288,
   "cost": 0.0015544,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Accurate extraction, correct JSON format, minor issue name not capitalized, otherwise clean and concise."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly extracts the requested information into a valid JSON format with the exact keys specified, and contains no extra text."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "All requested fields are accurately extracted, the intent is correctly summarized, and the response is valid JSON with no extra text."
    }
   ]
  },
  {
   "id": "e2",
   "name": "Table from prose",
   "prompt": "Turn this into a markdown table with columns Product, Q1, Q2, Change:\n\n'The Alpha line did 14,200 units in Q1 and 15,800 in Q2. Beta slipped from 9,100 to 7,400. The new Gamma launched mid-Q2 with 3,300 units (no Q1 sales). Delta held flat at 5,000 both quarters.'\n\nInclude a Change column as a percentage to one decimal (write n/a where undefined).",
   "output": "| Product | Q1 | Q2 | Change |\n|---------|--------|--------|--------|\n| Alpha | 14,200 | 15,800 | 11.3% |\n| Beta | 9,100 | 7,400 | -18.7% |\n| Gamma | 0 | 3,300 | n/a |\n| Delta | 5,000 | 5,000 | 0.0% |",
   "latency_ms": 10014,
   "cost": 0.0042404,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Accurate table, correct percentage calculations, proper formatting, n/a used appropriately for Gamma. Minor: Gamma Q1 shown as 0 instead of blank, but reasonable."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all instructions, accurately calculates the percentage changes to one decimal place, correctly handles the undefined case with 'n/a', and formats the output as a clean markdown table."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "All products and quarterly figures are correctly extracted. Percentage changes are accurately calculated to one decimal, with Gamma correctly marked n/a because Q1 is zero. The requested markdown table structure and columns are fully satisf"
    }
   ]
  },
  {
   "id": "e3",
   "name": "Contact details",
   "prompt": "List every person mentioned below with their role and organisation, one line each in the format Name - Role - Org. If a field is unknown write unknown:\n\n'Following the review, Dr Amara Okafor (Chief Data Officer, Halcyon Health) will hand over to Ben Tran, who joins as interim CDO from Meridian Labs. Legal sign-off sits with Priya Shah at Halcyon; the external audit remains with T. Lindqvist.'",
   "output": "Dr Amara Okafor - Chief Data Officer - Halcyon Health\nBen Tran - interim CDO - Meridian Labs\nPriya Shah - Legal sign-off - Halcyon\nT. Lindqvist - external audit - unknown",
   "latency_ms": 4323,
   "cost": 0.0020324,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 7,
     "violates": false,
     "reasoning": "Mostly correct format; Ben Tran's org ambiguous (joining Halcyon vs from Meridian Labs), minor role wording differences, otherwise accurate and clear."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows the instructions, accurately extracting all four individuals and formatting them exactly as requested, correctly using 'unknown' where the organisation is not specified."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Lists all four people, correctly assigns stated roles and organisations, uses unknown appropriately for T. Lindqvist’s organisation, and follows the required one-line format."
    }
   ]
  },
  {
   "id": "e4",
   "name": "Key facts",
   "prompt": "Extract exactly 5 key facts as bullets (each under 15 words) from:\n\n'The council approved the harbour redevelopment on 12 June by 7 votes to 2. Phase one, costing £4.6m, begins in October and includes the fish market roof. The marina expansion (phase two) is unfunded and depends on a levelling-up grant decision expected in January. Local traders get first refusal on the 14 new retail units. Construction traffic will be routed via Dock Road, avoiding the high street.'",
   "output": "- Council approved harbour redevelopment on 12 June by 7 to 2.\n- Phase one costs £4.6m, begins October, includes fish market roof.\n- Marina expansion unfunded, depends on January levelling-up grant decision.\n- Local traders get first refusal on 14 new retail units.\n- Construction traffic routed via Dock Road, avoiding high street.",
   "latency_ms": 12366,
   "cost": 0.0053724,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 10,
     "violates": false,
     "reasoning": "All 5 bullets accurate, concise, under 15 words each, capturing key facts correctly with no extraneous content."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly extracts exactly 5 key facts as bullets, with each bullet being accurate and well under the 15-word limit."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Exactly five bullets, each under 15 words. Accurately captures all key facts, including vote, costs, timing, funding dependency, retail priority, and traffic routing."
    }
   ]
  },
  {
   "id": "e5",
   "name": "Schema compliance",
   "prompt": "Convert to JSON matching exactly this schema: {\"event\": string, \"date\": \"YYYY-MM-DD\", \"venue\": string, \"capacity\": number, \"speakers\": [{\"name\": string, \"topic\": string}], \"sold_out\": boolean}\n\n'AI in Retail Summit happens March 14th 2026 at the Baltic Exchange (holds 320). Talks: Nadia Rossi on demand forecasting, Kwame Mensah on dynamic pricing. Tickets still available.'\n\nReturn only the JSON.",
   "output": "{\"event\":\"AI in Retail Summit\",\"date\":\"2026-03-14\",\"venue\":\"Baltic Exchange\",\"capacity\":320,\"speakers\":[{\"name\":\"Nadia Rossi\",\"topic\":\"demand forecasting\"},{\"name\":\"Kwame Mensah\",\"topic\":\"dynamic pricing\"}],\"sold_out\":false}",
   "latency_ms": 4307,
   "cost": 0.0020404,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 10,
     "violates": false,
     "reasoning": "Accurate, matches schema exactly, correct data, concise JSON-only output as required."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly extracts all information into the exact JSON schema requested and includes no additional text, strictly following all instructions."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Exactly matches the required schema and correctly converts all stated details, including ISO date, numeric capacity, speaker topics, and sold_out false from tickets still available."
    }
   ]
  },
  {
   "id": "i1",
   "name": "Format constraints",
   "prompt": "Describe how photosynthesis works in exactly 3 sentences. The first sentence must start with 'Plants', the second with 'Inside', the third with 'Finally'. No sentence may exceed 20 words.",
   "output": "Plants convert sunlight water and carbon dioxide into sugars and oxygen. \nInside chloroplasts chlorophyll captures light energy for chemical reactions. \nFinally glucose stores energy while oxygen exits as a byproduct.",
   "latency_ms": 6432,
   "cost": 0.0025364,
   "task_score": 9,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Meets all constraints: correct starts, 3 sentences, under 20 words each, accurate simplified photosynthesis description."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all constraints, including exact sentence count, specific starting words, and word limits per sentence. The explanation of photosynthesis is accurate, clear, and highly useful for a non-technical reader."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 8,
     "violates": false,
     "reasoning": "Meets all sentence-count, starting-word, and length constraints. Clear and useful overall, though the first sentence imprecisely suggests sunlight itself is converted rather than used as energy."
    }
   ]
  },
  {
   "id": "i2",
   "name": "Word limit",
   "prompt": "Explain the difference between a lease and a licence for UK commercial property in exactly 50 words. Count carefully - exactly 50.",
   "output": "A lease grants exclusive possession of commercial property for a defined term, creating a proprietary interest enforceable against third parties. A licence merely permits use without exclusive possession, remaining a personal contractual right revocable more easily and not binding on successors. Leases offer greater security whilst licences provide more flexibility.",
   "latency_ms": 13839,
   "cost": 0.0060964,
   "task_score": 9,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Accurate, clear explanation exactly 50 words as required; concise and useful."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly explains the legal distinction between a lease and a licence in the UK, highlighting exclusive possession and proprietary rights. It strictly adheres to the 50-word constraint and is highly useful and clear."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 8,
     "violates": false,
     "reasoning": "Exactly 50 words. Accurately distinguishes exclusive possession and proprietary versus personal rights. Minor oversimplification: licences are not always readily revocable, depending on contractual terms."
    }
   ]
  },
  {
   "id": "i3",
   "name": "Forbidden words",
   "prompt": "Explain what makes coffee taste bitter, in 80-120 words, WITHOUT using any of these words: bitter, bean, roast, caffeine, acid. Do not use hyphenated or partial variants of them either.",
   "output": "Coffee's sharp and astringent flavor arises mainly from chemical compounds formed when the seeds undergo high-temperature processing. Extended exposure to hot water during preparation extracts excessive amounts of these substances, leading to an unpleasant edge in the cup. Using finer particles or higher temperatures accelerates this extraction of harsh elements. Additionally, longer heating times create more of the dark, intense notes that contribute to the overall strong taste profile. Proper control of preparation variables helps minimize these effects for a smoother result.",
   "latency_ms": 30430,
   "cost": 0.0100784,
   "task_score": 7,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 7,
     "violates": false,
     "reasoning": "Meets word count and avoids banned words, but explanation is vague and lacks specific chemistry, reducing accuracy and usefulness slightly."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "Follows all constraints perfectly. The word count is exactly 82 words, and it successfully avoids all banned terms while clearly explaining the causes of the harsh flavor profile."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 7,
     "violates": false,
     "reasoning": "Meets the 80–120 word range (81 words) and avoids all prohibited terms. It gives broadly accurate extraction and heat-related causes, but remains vague about the specific compounds and somewhat overstates heating-time effects."
    }
   ]
  },
  {
   "id": "i4",
   "name": "Multi-constraint",
   "prompt": "Write a LinkedIn post about hiring your first apprentice. Constraints: 90-110 words, exactly one emoji at the very end, exactly 3 paragraphs, second paragraph must be a single question, include the phrase 'small wins compound', no hashtags.",
   "output": "Hiring my first apprentice marked a turning point in how I approach team growth and knowledge sharing. Watching someone eager absorb skills daily has reignited my own passion for the craft while strengthening our entire operation through fresh perspectives and renewed energy.\n\nWhat lessons did you learn from mentoring your very first apprentice in the workplace?\n\nThose early milestones taught me that small wins compound into lasting success and deeper expertise for everyone involved. Guiding this journey has been incredibly fulfilling and I look forward to many more breakthroughs ahead together.\n🚀",
   "latency_ms": 9985,
   "cost": 0.0026804,
   "task_score": 9,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Meets all constraints: 91 words, 3 paragraphs, single-question second paragraph, required phrase included, one emoji at end, no hashtags. Well-written and professional."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all constraints: exactly 91 words, 3 paragraphs, second paragraph is a single question, includes the required phrase, ends with exactly one emoji, and uses no hashtags. Excellent professional tone."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 5,
     "violates": true,
     "reasoning": "It is 91 words, includes the required phrase, has a one-question second paragraph, no hashtags, and ends with one emoji. However, the emoji appears on its own line, creating a fourth paragraph rather than exactly three."
    }
   ]
  },
  {
   "id": "i5",
   "name": "Exact structure",
   "prompt": "Produce a checklist for closing a small retail shop at night with EXACTLY this structure: a title line, then 3 sections headed 'Front of house', 'Back office', 'Security', each containing exactly 4 numbered items, each item 3-8 words. Nothing else before or after.",
   "output": "Closing Checklist for Small Retail Shop\nFront of house\n1. Lock all entrance doors securely\n2. Turn off main sales lights\n3. Empty and clean cash registers\n4. Sweep and mop sales floor\nBack office\n1. Balance daily sales reports\n2. Secure cash in safe box\n3. Shut down office computers\n4. File away important documents\nSecurity\n1. Activate full alarm system\n2. Check all window locks\n3. Verify security camera feeds\n4. Double-check rear exit doors",
   "latency_ms": 4444,
   "cost": 0.0018224,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Correct structure, exactly 3 sections with 4 numbered items each, all items within 3-8 words, no extra text. Minor stylistic redundancy only."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all instructions and constraints, providing a highly useful, clear, and concise checklist with the exact required structure and word counts."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Meets the exact required structure: one title, three correctly headed sections, four numbered items per section, and every item contains 3-8 words. No extra content."
    }
   ]
  },
  {
   "id": "s1",
   "name": "Quick answer (short)",
   "prompt": "In one sentence: what does VAT stand for and what is the current standard UK rate?",
   "output": "VAT stands for Value Added Tax, and the current standard UK rate is 20%.",
   "latency_ms": 1801,
   "cost": 0.0007464,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 9,
     "violates": false,
     "reasoning": "Correct, concise, single sentence as required, accurate definition and rate."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response is perfectly accurate, highly concise, and strictly follows the one-sentence constraint."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "Accurately expands VAT as Value Added Tax and states the current standard UK VAT rate of 20%, in exactly one clear sentence."
    }
   ]
  },
  {
   "id": "s2",
   "name": "Instant classification",
   "prompt": "Classify each as SPAM or NOT SPAM, output only two-column lines: 'You've won a £500 voucher click here' / 'Your Tesco order 8812 is ready for collection' / 'URGENT your account will be closed verify now' / 'Minutes from Thursday's board meeting attached'.",
   "output": "'You've won a £500 voucher click here' / SPAM\n'Your Tesco order 8812 is ready for collection' / NOT SPAM\n'URGENT your account will be closed verify now' / SPAM\n'Minutes from Thursday's board meeting attached' / NOT SPAM",
   "latency_ms": 4458,
   "cost": 0.0017424,
   "task_score": 10,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Correct classifications, clear format, though task said output only two columns without repeating full quotes; minor format deviation but still clear and useful."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The response perfectly follows all instructions, correctly classifies each message, and outputs exactly in the requested two-column format with no extra text."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 10,
     "violates": false,
     "reasoning": "All four messages are classified correctly. The response provides one label per message in a clear two-part line format and includes no extraneous commentary."
    }
   ]
  },
  {
   "id": "s3",
   "name": "Short translation",
   "prompt": "Translate to French, keeping the informal tone: 'Hey, we're running 10 minutes late - grab us a table if you get there first?'",
   "output": "**Salut, on a 10 minutes de retard – prends-nous une table si t’arrives en premier ?**",
   "latency_ms": 3740,
   "cost": 0.0012904,
   "task_score": 8,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Accurate, informal, natural French translation; minor stylistic tweak possible ('t'arrives' informal ok) but overall solid and concise."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 10,
     "violates": false,
     "reasoning": "The translation is highly accurate, perfectly captures the requested informal tone using natural phrasing ('on', 't'arrives'), and is concise."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 8,
     "violates": false,
     "reasoning": "Accurate, informal translation that preserves the request. “Prends-nous une table” and “si t’arrives en premier” are understandable but slightly less natural than “réserve-nous une table” and “si tu arrives avant nous”."
    }
   ]
  },
  {
   "id": "s4",
   "name": "Medium generation",
   "prompt": "Write a 150-word 'About us' section for a family-run garden centre in Yorkshire founded in 1987, now run by the founders' daughter, known for rare perennials and a small cafe.",
   "output": "**About Us**\n\nNestled in the heart of Yorkshire, our family-run garden centre has been a cherished local haven since 1987. Founded by passionate horticulturists with a love for the land, it began as a modest nursery dedicated to quality plants and personal service. Today, it thrives under the care of their daughter, who continues the family tradition with the same warmth and expertise.\n\nWe specialise in rare and unusual perennials, carefully selected to bring unique beauty and interest to gardens of every size. From hard-to-find varieties to reliable favourites, our knowledgeable team is always on hand to offer advice and inspiration.\n\nAfter browsing our plant-filled grounds, relax in our cosy small café, where homemade treats and a friendly atmosphere provide the perfect pause. Whether you’re a seasoned gardener or just starting out, we invite you to visit, explore, and share in our family’s enduring passion for plants and community. We look forward to welcoming you.",
   "latency_ms": 8859,
   "cost": 0.0025144,
   "task_score": 5,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 7,
     "violates": false,
     "reasoning": "Meets all content requirements; well-written but slightly over 150 words (~165), minor precision issue on word count."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 5,
     "violates": true,
     "reasoning": "The response includes all required details and is well-written, but it is 156 words long, violating the strict 150-word constraint."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 5,
     "violates": true,
     "reasoning": "Covers all requested facts in a warm, clear, professional style. The body contains 153 words; including the “About Us” heading, it contains 155 words, so it exceeds the required 150 words."
    }
   ]
  },
  {
   "id": "s5",
   "name": "Long generation",
   "prompt": "Write a detailed 400-word beginner's guide to setting up a home compost bin: location, what to add, what to avoid, how long it takes, and one common mistake.",
   "output": "**Beginner's Guide to Setting Up a Home Compost Bin**\n\nStarting a home compost bin turns kitchen scraps and yard waste into free, nutrient-rich soil while cutting landfill waste. This straightforward guide covers location, what to add, what to avoid, timing, and one key mistake.\n\n**Location**  \nChoose a level, well-drained spot that is mostly shady yet gets a bit of morning sun. Keep the bin reasonably close to your kitchen door for convenient scrap dumping, but not right against wooden fences or house walls where moisture could cause damage. Good airflow around the bin helps prevent odors and speeds breakdown. A corner of the yard or patio works well; ensure you can easily reach it with a pitchfork or shovel. If using an open pile, a simple enclosure of wire or wood keeps things tidy. Avoid low spots that flood after rain.\n\n**What to Add**  \nSuccessful compost needs a balance of nitrogen-rich “greens” and carbon-rich “browns.” Greens include fruit and vegetable peels, coffee grounds, tea bags, fresh grass clippings, and green plant trimmings. Browns include dry leaves, shredded newspaper or cardboard (non-glossy), straw, small twigs, and sawdust from untreated wood. Aim for roughly three parts browns to one part greens by volume. Chop or tear larger pieces into 1–2 inch bits so microbes can work faster. Eggshells crushed finely add calcium. Layer materials, moisten lightly as you go, and mix occasionally.\n\n**What to Avoid**  \nSkip meat, fish, bones, dairy, oils, and greasy foods—these attract pests and smell bad. Do not add pet waste, diseased plants, weeds gone to seed, coal or charcoal ash, glossy/colored paper, or synthetic materials. Large amounts of citrus can acidify the pile, so use sparingly. These items either slow composting, introduce pathogens, or create messes.\n\n**How Long It Takes**  \nUnder average home conditions the pile becomes usable compost in 2–6 months. Warm weather, regular turning (every 1–2 weeks for aeration), and proper moisture can produce finished material in as little as 8–12 weeks. Cooler temperatures slow the process. Finished compost looks dark and crumbly, smells earthy, and no longer shows recognizable food scraps.\n\n**One Common Mistake**  \nBeginners often let the pile become too wet or too dry. Ideal moisture feels like a wrung-out sponge. Excess water creates slimy, anaerobic conditions and odors; dryness halts microbial activity. Check weekly and add dry browns or a little water as needed.\n\nWith these basics you will soon harvest black gold for gardens and houseplants. Start small, stay consistent, and enjoy the results.",
   "latency_ms": 38842,
   "cost": 0.0089644,
   "task_score": 5,
   "judges": [
    {
     "judge": "anthropic/claude-sonnet-5",
     "score": 8,
     "violates": false,
     "reasoning": "Accurate, well-organized, covers all required elements clearly. Word count seems close to 400 but slightly over; not strictly verified but reasonable, no explicit banned terms violated."
    },
    {
     "judge": "google/gemini-3.1-pro-preview",
     "score": 5,
     "violates": true,
     "reasoning": "The response is highly accurate, useful, and clear, covering all requested topics perfectly. However, it violates the strict 400-word constraint, coming in at approximately 390 words instead of exactly 400."
    },
    {
     "judge": "openai/gpt-5.6-terra",
     "score": 5,
     "violates": true,
     "reasoning": "It covers every requested topic clearly and practically. Minor accuracy nuances: colored paper and citrus are not universally problematic, and some tea bags contain plastic. Explicit 400-word constraint is breached: approximately 414 words "
    }
   ]
  }
 ]
}