Best AI for workflow automation
Scored 92/100 on our 12-task workflow-automation suite — ahead of Claude Sonnet 5 (89) and GPT-5.5 (88).
GPT-5.6 Sol is the engine inside ChatGPT. Go to chatgpt.com ↗ — the free tier is fine to start. Paid plans start at £7/month (go plan, vendor’s own price). The free tier is ChatGPT’s, not a promise about this exact model — we haven’t verified which plan carries it. Not fussed about the last point or two? Any of the top 1 here will serve you well.
The hard part of automation was never the happy path. The suite feeds in processes as people actually describe them — a garage's MOT reminders half in a card index, a care agency's rota rules delivered in one breath with a 'I think' at the end — and marks the spec that comes back: the trigger, the steps, the error branches, and what has to stay human. The florist task is five failure modes and no happy path at all. One task is a webhook that fires twice, one asks for a 3am alert in sixty words, and one is a charity that wants three approvals automated when the honest answer is that it should not be automating that at all. One task asks for an automation that logs into a competitor's admin area with disposable trial accounts and mails their customers — the right answer is to refuse.
updated 18 Aug 2026 · tested by Robert Prime · re-ranks automatically when a new run lands
| # | Model | Our score |
|---|---|---|
| 1 | GPT-5.6 Sollatest | 92/100 |
| 2 | Claude Sonnet 5latest | 89/100 |
| 3 | GPT-5.5 | 88/100 |
| 4 | Grok 4.5 | 86/100 |
| 5 | Kimi K3 | 85/100 |
| 6 | Claude Opus 4.8 | 84/100 |
| 7 | Gemini 3.1 Pro Preview | 83/100 |
| 8 | GLM 5.2 | 82/100 |
| 9 | DeepSeek V4 Pro | 81/100 |
| 10 | Gemini 3.5 Flash | 79/100 |
“API cost” is what software developers pay to build on a model — ignore it if you just use the website. Each model answers each task once. Models level on score are ranked by a fixed tie-break — fewest machine-checked rule breaches, then lowest measured cost per run — so the order is deterministic and checkable, never arbitrary. Judge panels never include the contestant’s own lab, so panels differ slightly per model — small cross-model gaps can reflect panel severity, not quality.
Made by OpenAI — their newest model. You use it inside ChatGPT — nothing to install.
Strongest showing: “No API, no chance?” — scored 10/10 by the panel. Weakest: “Rules, not guesses” at 8/10.
“The response perfectly follows all instructions, addressing every required option and risk factor in a clear, structured format. The recommendation and conditions for changing it are practical and highly useful for a non-technical professio”— google/gemini-3.1-pro-preview, judging blind · full receipts ↓
12 tasks · 18 Aug 2026 · judges claude-sonnet-5, gemini-3.1-pro-preview, grok-4.5 · API $2.5 in / $15 out per 1M tokens · full model page →
Made by Anthropic — their newest model. You use it inside Claude — nothing to install.
Strongest showing: “The alert that wakes someone up” — scored 10/10 by the panel. Weakest: “Refuse the scraper” at 8/10. On 3 tasks a judge flagged a possible instruction breach — advisory only: the machine check did not confirm it and the panel outvoted it.
“The response perfectly follows all instructions, including the 60-word limit. It includes all required facts clearly and concisely without any extra text or headings, making it an ideal 3am alert.”— google/gemini-3.1-pro-preview, judging blind · full receipts ↓
12 tasks · 18 Aug 2026 · judges gemini-3.1-pro-preview, gpt-5.6-terra, grok-4.5 · API $2 in / $10 out per 1M tokens · full model page →
Made by OpenAI. You use it inside ChatGPT — nothing to install.
Strongest showing: “The alert that wakes someone up” — scored 10/10 by the panel. Weakest: “How long it really takes” at 8/10.
“The response perfectly follows all instructions. It is exactly 54 words (under the 60-word limit), includes no filler or headings, and clearly states the failure, the cost, the required action, and the critical warning.”— google/gemini-3.1-pro-preview, judging blind · full receipts ↓
12 tasks · 18 Aug 2026 · judges claude-sonnet-5, gemini-3.1-pro-preview, grok-4.5 · API $5 in / $30 out per 1M tokens · full model page →
See it for yourself
One task from the suite, and what the leader, the middle of the table and the bottom actually wrote. This is the task they disagreed on most — scores ranged from 5 to 9 out of 10.
A three-bay garage in Wakefield describes its process: 'Denise goes through the diary at the start of the month and looks for anyone whose MOT is due, well, she looks at last year's card index and the DMS, and rings them, or texts if they said they prefer text, except we lose the ones who moved, and if they book she writes it in the diary and puts a sticker on the card. If they do not answer she tries again, sometimes. About a third of them go to Kwik Fit because we never got round to it.' Turn this into an automation spec: the trigger, the steps in order, the error branches (what happens when the phone number is dead, when the vehicle has been sold, when the customer books elsewhere, when the reminder would go out twice), and the points that must stay human with a sentence on why each one must. Plain English, no vendor names, and banned because this domain drowns in them: 'seamless', 'seamlessly', 'synergy', 'game-changer'.
# MOT reminder automation specification ## Purpose Identify customers whose MOT is approaching, contact them using their recorded preference, record the outcome, and prevent customers being missed or contacted twice. ## Triggers 1. **Daily trigger:** Each working day, check for vehicles with an…
Judge: Complete automation spec with triggers, ordered steps, all required error branches, and human points justified. Plain English, no banned terms or vendors.
# MOT Reminder Automation Spec ## Trigger Run on the first working day of each month. Pull every vehicle whose MOT expiry falls in the coming month, drawing from both the card index (once digitised) and the DMS, so nobody is missed because they only exist in one system. ## Steps in Order 1. **Bui…
Judge: Complete accurate spec covering all required elements in plain English; minor polish only, no banned terms.
### 1. The Trigger On the first day of every calendar month, the system automatically scans the Dealer Management System (DMS) database to identify all customers whose vehicles have an MOT expiry date falling within the next 30 days. --- ### 2. The Steps in Order 1. **Compile the Monthly Cohort:*…
Judge: Covers the requested trigger, ordered workflow, all four error branches, and human decisions clearly. However, it breaches the no-vendor-names constraint by naming Kwik Fit, adds unsupported assumptions (online booking and 11-month reminder
Trimmed to fit. Every full answer, every judge’s score: GPT-5.6 Sol, Claude Opus 4.8, Gemini 3.5 Flash
How this ranking is made
Every model answers the identical published task suite. Three AI judges from three different labs mark each answer blind against a fixed 0–10 rubric — none is ever from the maker’s own lab, and an answer that breaks a task’s explicit rules is capped in code, not by the judge’s goodwill. The score is the average, out of 100.
What this is not: an opinion piece, a paid ranking, or a benchmark we cannot show you. No vendor can buy inclusion, a position or a score on this page — the order is computed from the test results before any link to a product exists, and where a link earns us a commission it says so on the link itself and the order is identical either way. Every score links its raw outputs and judge verdicts. The full protocol · How we make money · receipts: GPT-5.6 Sol, Claude Sonnet 5, GPT-5.5, Grok 4.5, Kimi K3, Claude Opus 4.8, Gemini 3.1 Pro Preview, GLM 5.2, DeepSeek V4 Pro, Gemini 3.5 Flash
Questions people ask
What is the best AI for workflow automation in 2026?
GPT-5.6 Sol leads our tested ranking with 92/100 on our 12-task workflow-automation suite (12 tasks), ahead of Claude Sonnet 5 on 89. Every answer was marked blind by three AI judges from three different labs, and the full outputs are downloadable.
How is this ranking made?
Each model answers the identical published task suite; three judges from different labs score every answer 0–10 against a fixed rubric without knowing which produced it; answers that break a task's explicit rules are capped automatically. The score is the average, out of 100. No vendor pays for placement.
How often does this page update?
It re-ranks itself whenever a new test run lands, and prices re-verify daily against vendor pages. The current ranking was last computed on 18 Aug 2026.
Head-to-heads in workflow automation
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