GPT-5.6 Luna vs Grok 4.5 for multi-step research
GPT-5.6 Luna wins, 90–85
Same 12 multi-step research tasks, marked blind by three rival labs. GPT-5.6 Luna took 9 tasks, Grok 4.5 took 3, 0 tied. Tested 27 Aug 2026.
Where they differed most
Three sources on GP access in one integrated care board area. Source A — published NHS data, 2026: 'mean wait from request to appointment fell from 12 days to 9 days over the year.' Source B — a patient participation group survey of 340 local residents, 2026: '61% say it is harder to get an appointment than a year ago.' Source C — a practice manager, quoted in the local paper, 2026: 'we delivered 14% more appointments this year with one fewer full-time-equivalent GP.' Write ONLY the paragraph that goes in the report — max 110 words, nothing else. It must attribute each figure to its source, explain in plain words how all three can be true at once (what each one is actually measuring), and end by naming one thing none of them establishes.
NHS data (Source A) report that the average wait from requesting an appointment to receiving one fell from 12 days to nine. However, a patient participation group survey of 340 residents (Source B) found that 61% felt appointments were harder to obtain than a year earlier: perceptions may reflect difficulty reaching the practice, securing a preferred clinician or getting an appointment when needed, not the average wait. Meanwhile, a practice manager told the local paper (Source C) that the practice delivered 14% more appointments despite having…
Published NHS data (2026) report mean wait from request to appointment fell from 12 to 9 days. Patient participation group survey of 340 residents (2026): 61% say it is harder to get an appointment than a year ago. Practice manager quoted in local paper (2026): delivered 14% more appointments with one fewer full-time-equivalent GP. These align as NHS data track waits for booked appointments, the survey measures felt difficulty accessing them, and the quote covers volume versus GP numbers. None establishes changes in unmet need.
Task by task
| Task | GPT-5.6 Luna | Grok 4.5 |
|---|---|---|
| Four numbers, one high street | 9 | 8 |
| The trial that both worked and didn't | 9 | 8 |
| Break the brief into answerable steps | 10 | 9 |
| Corroboration that isn't | 9 | 8 |
| The disagreement is definitional | 9 | 7 |
| A forecast is not an outcome | 10 | 8 |
| The evidence table, as JSON | 8 | 10 |
| Funded, and still the best data | 10 | 8 |
| Write only the limits section | 10 | 9 |
| Not answerable from what you have | 10 | 9 |
| The statistic and the doorstep | 5 | 8 |
| Refuse the manufactured briefing | 9 | 10 |
Full receipts: GPT-5.6 Luna, Grok 4.5 · judges claude-sonnet-5, gemini-3.1-pro-preview, grok-4.5
Questions people ask
Which is better for multi-step research: GPT-5.6 Luna or Grok 4.5?
GPT-5.6 Luna — it scored 90/100 against 85/100 on our 12-task multi-step research suite, winning 9 tasks to 3 with 0 tied. Every answer was marked blind by three judges from three rival AI labs.
How was this tested?
Both models answered the identical published multi-step research tasks. Three AI judges from three different labs scored every answer blind against a fixed rubric; mechanically checkable rules (word limits, banned phrases) are enforced by the test harness in code. The raw outputs and judge verdicts are downloadable.
More multi-step research head-to-heads: GPT-5.6 Luna vs GPT-5.6 Terra · GPT-5.6 Terra vs Grok 4.5 · GPT-5.3-Codex vs GPT-5.6 Luna · GPT-5.3-Codex vs Grok 4.5 · Claude Sonnet 5 vs GPT-5.6 Luna · Claude Sonnet 5 vs Grok 4.5
Full ranking: Best AI for multi-step research · model pages: GPT-5.6 Luna, Grok 4.5