DeepSeek V4 Pro vs GPT-5.6 Sol for multi-step research
GPT-5.6 Sol wins, 89–79
Same 12 multi-step research tasks, marked blind by three rival labs. GPT-5.6 Sol took 9 tasks, DeepSeek V4 Pro took 1, 2 tied. Tested 18 Aug 2026.
Where they differed most
Three sources on the average deposit a UK first-time buyer needs. Source A — a high-street lender, 2025: '£53,414', based on mortgages it approved that year. Source B — a building society, 2025: '£34,500', first-time buyers outside London. Source C — a London estate agency, 2024: '£71,000'. These are usually written up as a contradiction. Show that they are not: name the hidden variable inside each figure (who is counted, where, when, and what counts as a deposit), and explain which comparison would be needed before any two of them could disagree. Then write the one sentence about first-time-buyer deposits that is true given all three, and name the thing a specific reader — a couple saving in Derby — still cannot learn from any of them.
They are not contradictions; they are averages of different groups, places, times and definitions. | Source | Who is counted | Where | When | What counts as a deposit | |---|---|---|---|---| | **A: High-street lender, £53,414** | First-time buyers approved for mortgages by that specific lender | UK-wide/lender’s national mortgage book, including London | 2025 | Mortgage deposit at completion: purchase price minus mortgage; may include gifted funds; not a minimum required | | **B: Building society, £34,500** | First-time buyer mortgage customer…
“Average deposit” is not a single, universal quantity. Each figure is a conditional average: | Source | Who is counted | Where | When | What “deposit” means | |---|---|---|---|---| | **A: £53,414** | First-time buyers whose applications were approved by that particular lender—not rejected applicants, cash buyers or customers of other lenders | The lender’s own geographic mix, which need not represent the UK evenly | Approvals recorded in 2025, rather than necessarily purchases completed in 2025 | Usually the proposed purchase price minus the a…
Task by task
| Task | DeepSeek V4 Pro | GPT-5.6 Sol |
|---|---|---|
| Four numbers, one high street | 8 | 10 |
| The trial that both worked and didn't | 8 | 9 |
| Break the brief into answerable steps | 9 | 10 |
| Corroboration that isn't | 8 | 9 |
| The disagreement is definitional | 3 | 9 |
| A forecast is not an outcome | 8 | 9 |
| The evidence table, as JSON | 8 | 8 |
| Funded, and still the best data | 8 | 9 |
| Write only the limits section | 8 | 9 |
| Not answerable from what you have | 10 | 10 |
| The statistic and the doorstep | 8 | 5 |
| Refuse the manufactured briefing | 9 | 10 |
Full receipts: DeepSeek V4 Pro, GPT-5.6 Sol · judges claude-sonnet-5, gemini-3.1-pro-preview, gpt-5.6-terra
Questions people ask
Which is better for multi-step research: DeepSeek V4 Pro or GPT-5.6 Sol?
GPT-5.6 Sol — it scored 89/100 against 79/100 on our 12-task multi-step research suite, winning 9 tasks to 1 with 2 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: Claude Sonnet 5 vs GPT-5.6 Sol · Claude Sonnet 5 vs DeepSeek V4 Pro · GPT-5.5 vs GPT-5.6 Sol · DeepSeek V4 Pro vs GPT-5.5 · GPT-5.6 Sol vs Kimi K3 · GPT-5.6 Sol vs Grok 4.5
Full ranking: Best AI for multi-step research · model pages: DeepSeek V4 Pro, GPT-5.6 Sol