Compare / head-to-head
DeepSeek V3.1vs
GPT-5.5
GPT-5.5 leads 4 of 4 shared benchmarks. GPT-5.5 has the larger context window (1M tokens).
Benchmarks from cited public sources; pricing from official pages; status from official provider feeds.
Shared benchmarks
0 – 4
GPT-5.5 leads
Cheaper per token
—
list price, input + output
Larger context
GPT-5.5
1M tokens
Providers
2 providers
DeepSeek · OpenAI
DeepSeek V3.1
DeepSeek · released 2025-08-21
text
- Context
- 128K
- Max out
- —
- Input /1M
- —
- Output /1M
- —
- Cached /1M
- —
- Scores
- 18 · 9 core
Quality
Benchmark matrix
4 shared · 14 only DeepSeek V3.1 · 40 only GPT-5.5| Benchmark | DeepSeek V3.1 | GPT-5.5 | Δ | Edge |
|---|---|---|---|---|
| Reported by both · 4 | ||||
| LMArena Elo | 1417.1 ↗ | 1465.6 ↗ | -48.5 | GPT-5.5 |
| BrowseComp | 30% ↗ | 84.4% ↗ | -54.4 pt | GPT-5.5 |
| SimpleBench (SimpleBench) | 40% ↗ | 69% ↗ | -29 pt | GPT-5.5 |
| WeirdML (Håvard Tveit Ihle) | 38.4% ↗ | 84.9% ↗ | -46.5 pt | GPT-5.5 |
| Only DeepSeek V3.1 reports · 14 | ||||
| Aider-Polyglot (thinking) | 76.3% ↗ | not reported | — | — |
| AIME 2024 (thinking) | 93.1% ↗ | not reported | — | — |
| AIME 2025 (thinking) | 88.4% ↗ | not reported | — | — |
| GPQA-Diamond (thinking) | 80.1% ↗ | not reported | — | — |
| HMMT 2025 (thinking) | 84.2% ↗ | not reported | — | — |
| Humanity's Last Exam (Python + Search) | 29.8% ↗ | not reported | — | — |
| Humanity's Last Exam (thinking, text-only) | 15.9% ↗ | not reported | — | — |
| LiveCodeBench (2408-2505) (thinking) | 74.8% ↗ | not reported | — | — |
| MMLU-Pro (thinking) | 84.8% ↗ | not reported | — | — |
| MMLU-Redux (thinking) | 93.7% ↗ | not reported | — | — |
| SimpleQA (search agent) | 93.4% ↗ | not reported | — | — |
| SWE Verified (Agent mode) | 66% ↗ | not reported | — | — |
| SWE-bench Multilingual (Agent mode) | 54.5% ↗ | not reported | — | — |
| Terminal-bench (Terminus 1 framework) | 31.3% ↗ | not reported | — | — |
| Only GPT-5.5 reports · 40 | ||||
| GPQA Diamond | not reported | 90.7% ↗epoch run | — | — |
| AIME 2026 | not reported | 100% ↗matharena ⚠ | — | — |
| APEX-Agents (Mercor) | not reported | 55.1% ↗ | — | — |
| ARC-AGI-1 (Verified) | not reported | 95% ↗ | — | — |
| ARC-AGI-2 (Verified) | not reported | 85% ↗ | — | — |
| Chess Puzzles (Epoch AI run) | not reported | 26% ↗epoch run | — | — |
| DeepSWE v1.1 (Datacurve) | not reported | 67% ↗ | — | — |
| EBR-bench (Epoch AI run) | not reported | 34.3% ↗epoch run | — | — |
| FrontierMath Tier 1-3 | not reported | 51.7% ↗ | — | — |
| FrontierMath Tier 4 | not reported | 35.4% ↗ | — | — |
| FrontierMath Tier 4 v2 (Epoch AI run) | not reported | 72.5% ↗epoch run | — | — |
| FrontierMath Tiers 1-3 v2 (Epoch AI run) | not reported | 85.3% ↗epoch run | — | — |
| Furniture Assembly (Epoch AI run) | not reported | 44.2% ↗epoch run | — | — |
| GDPval (wins or ties) | not reported | 84.9% ↗ | — | — |
| GSO Opt@1 (GSO) | not reported | 37.3% ↗ | — | — |
| LiveBench Agentic Coding (LiveBench) | not reported | 54% ↗ | — | — |
| LiveBench Coding (LiveBench) | not reported | 82.1% ↗ | — | — |
| LiveBench Data Analysis (LiveBench) | not reported | 81.6% ↗ | — | — |
| LiveBench Instruction Following (LiveBench) | not reported | 70.7% ↗ | — | — |
| LiveBench Language (LiveBench) | not reported | 87.4% ↗ | — | — |
| LiveBench Mathematics (LiveBench) | not reported | 95.9% ↗ | — | — |
| LiveBench Reasoning (LiveBench) | not reported | 89.7% ↗ | — | — |
| LMArena Agent (LMArena) | not reported | 0.0415 ↗ | — | — |
| LMArena Vision (LMArena) | not reported | 1286.5 ↗ | — | — |
| MCP Atlas | not reported | 75.3% ↗ | — | — |
| MirrorCode (Epoch AI run) | not reported | 10% ↗epoch run | — | — |
| MMMU-Pro (no tools) | not reported | 81.2% ↗ | — | — |
| MMMU-Pro (with tools) | not reported | 83.2% ↗ | — | — |
| Mystery Game Puzzles (Epoch AI run) | not reported | 56% ↗epoch run | — | — |
| OSWorld-Verified | not reported | 78.7% ↗ | — | — |
| OTIS Mock AIME 2024-2025 (Epoch AI run) | not reported | 84.4% ↗epoch run | — | — |
| SAGE (Vals AI) | not reported | 51.5% ↗ | — | — |
| SimpleQA Verified | not reported | 63% ↗epoch run | — | — |
| SWE-Bench Pro | not reported | 58.6% ↗ | — | — |
| tau2-bench Banking Knowledge (Sierra) | not reported | 44.6% ↗ | — | — |
| Tau2-bench Telecom | not reported | 98% ↗ | — | — |
| Terminal-Bench 2.0 | not reported | 82.7% ↗ | — | — |
| Toolathlon | not reported | 55.6% ↗ | — | — |
| Toolathlon-Verified (HKUST) | not reported | 73.5% ↗ | — | — |
| Vending-Bench 2 (Andon Labs) | not reported | 7523.84 ↗ | — | — |
Scores tagged "epoch" or "matharena" are independent runs, used only where the lab has not published its own; ⚠ marks rows MathArena flags as released after the competition. Higher is better on every row. Δ is DeepSeek V3.1 minus GPT-5.5 in the benchmark's own unit. "Not reported" means the lab has not published that figure; it is not a zero. ↗ opens the source.
Specs & pricing
Side by side
Official pricing pages and model cards| Spec | DeepSeek V3.1 | GPT-5.5 | Edge |
|---|---|---|---|
| Context window | 128K tokens | 1M tokens | GPT-5.5 |
| Max output | — | 128K tokens | — |
| Input price / 1M | — | $5 ↗ | — |
| Output price / 1M | — | $30 ↗ | — |
| Cached input / 1M | — | $0.5 ↗ | — |
| Input + output / 1M Lower is cheaper. List prices; batch, tool and regional fees excluded. | — | $35 | — |
| Modalities | text | text · vision | GPT-5.5 |
| Released | 2025-08-21 | 2026-04-23 | — |
| Cited benchmark scores | 18 | 50 | — |
Reliability
Provider status
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Which one wins on your data?
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