DeepSeek V4.1 Flash vs GPT-6.1 Sol
DeepSeek V4.1 Flash 
GPT-6.1 Sol Verdict
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 61.8.
- DeepSeek V4.1 Flash (max) is stronger in long context.
- GPT-6.1 Sol (max) is stronger in agents & tools, coding, composite, human preference, knowledge, maths, multimodal, reasoning.
- DeepSeek V4.1 Flash (max) is 7.6× cheaper ($0.525 vs $4.00 per 1M blended).
- DeepSeek V4.1 Flash (max) streams 3.9× faster (217 vs 56 tokens per second).
| Metric | DeepSeek V4.1 Flash (max) | GPT-6.1 Sol (max) |
|---|---|---|
| BenchLeader Index | 61.8 | 69.3 |
| Agents & tools score | 55.5 | 63.9 |
| Coding score | 64.0 | 72.4 |
| Composite score | 71.2 | 79.0 |
| Human preference score | 66.9 | 68.1 |
| Knowledge score | 59.3 | 78.8 |
| Long context score | 67.3 | 66.8 |
| Maths score | 61.9 | 72.5 |
| Multimodal score | 60.9 | 66.2 |
| Reasoning score | 65.2 | 76.4 |
| Blended price $/M | $0.525 | $4.00 |
| Output speed | 217 tok/s | 56 tok/s |
| Time to first answer | 10.4 s | 326.9 s |
| Context window | 1M | 1.1M |
| GPQA Diamond | 89.8% | 95.4% |
| FrontierMath Tiers 1–3 | 67.4% | 93.7% |
| FrontierMath Tier 4 | 26.8% | 100.0% |
| OTIS Mock AIME | 98.3% | 100.0% |
| SimpleQA Verified | – | 73.9% |
| Terminal-Bench | – | 58.2% |
| SciCode | 51.9% | 54.2% |
| APEX-Agents | – | 60.0% |
| LMArena Text | 1475 | 1484 |
| LMArena Hard Prompts | 1499 | 1507 |
| LMArena Coding | 1528 | 1545 |
| LMArena WebDev | 1619 | 1755 |
| LMArena Vision | 1277 | 1288 |
| LMArena Agent | 3.8 | 11.7 |
| LiveBench | 81.1% | 81.6% |
| LiveBench Reasoning | 86.7% | 92.6% |
| LiveBench Coding | 80.0% | 80.4% |
| LiveBench Agentic Coding | 77.3% | 54.5% |
| LiveBench Mathematics | 93.3% | 96.8% |
| LiveBench Data Analysis | 79.3% | 82.7% |
| LiveBench Language | 81.2% | 90.1% |
| LiveBench Instruction Following | 70.0% | 74.2% |
| AA Intelligence Index v4.3.2 | 39.5 | 51.8 |
| AA-LCR | 84.0% | 83.0% |
| MMMU-Pro | 77.0% | 86.0% |
| AA-Omniscience | -5.3 | 41.5 |
| Humanity's Last Exam (AA) | 39.3% | 52.9% |
| SciCode (AA) | 51.9% | 54.2% |
| IOI | – | 96.9% |
| Vals Index | – | 61.1 |
| ARC-AGI-1 | 94.5% | 96.5% |
| ARC-AGI-2 | 72.9% | 94.2% |
| ARC-AGI-3 | – | 96.2% |
| CritPt | 14.3% | 31.7% |
| GDPval-AA v2.1 | 55.0% | 53.8% |
| ITBench SRE (AA) | 46.9% | – |
| Analyst Agent (AA) | – | 50.0% |
| BioMysteryBench | – | 79.6% |
| Code Migration | – | 65.1% |
| CyberBench | – | 39.3% |
| Excel Modeling Benchmark | – | 70.8% |
| Finance Agent v2 | – | 52.0% |
| Harvey's Legal Agent Benchmark | 6.7% | 5.4% |
| Legal Research Bench | – | 38.5% |
| MedCode | – | 48.8% |
| MedScribe | – | 86.5% |
| MysteryMechanism | – | 46.4% |
| Public Benefits Bench | 64.3% | 59.3% |
| SAGE | – | 46.5% |
| SREBench | 0.8% | 50.8% |
| Tax Agent Bench | – | 62.3% |
| Terminal-Bench 4.0 (Vals) | – | 55.0% |
| Vibe Code Bench v1.1 | – | 88.9% |
| LMArena Maths | 1493 | 1488 |
| LMArena Creative Writing | 1439 | 1462 |
| LMArena Instruction Following | 1477 | 1488 |
| LMArena Multi-turn | 1466 | 1487 |
| LMArena Longer Queries | 1482 | 1496 |
| Chess Puzzles | – | 61.0% |
| EBR-bench | – | 54.3% |
| Mystery Game Puzzles | 43.0% | 80.0% |
| ALE-Bench | 1092.3 | – |
| GDP.pdf | 19.8% | – |
| Terminal-Bench 4.0 (AA) | 26.8% | 56.1% |
| AutomationBench | 68.9% | 64.9% |
| GDP.pdf | 12.8% | 31.0% |
| MLCR | 22.8% | 33.9% |
| Harvey LAB | 1.7% | 6.9% |
| AA-Omniscience: accuracy | 46.4% | 62.1% |
| AA-Omniscience: non-hallucination | 3.5% | 45.7% |
| AA-Briefcase v1.1 | 1422 | 1557 |
| AA Openness Index | 44.4 | – |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
DeepSeek V4.1 Flash vs GPT-6.1 Sol: questions
- Is DeepSeek V4.1 Flash better than GPT-6.1 Sol?
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 61.8. The BenchLeader Index combines every independent quality benchmark; GPT-6.1 Sol (max) is ahead overall as of 2026-10-11, but check the category scores for your use.
- Is DeepSeek V4.1 Flash better than GPT-6.1 Sol for coding?
- GPT-6.1 Sol scores higher in coding (72 vs 64 on the category index, where 50 is average).
- Is DeepSeek V4.1 Flash better than GPT-6.1 Sol for agentic tasks?
- GPT-6.1 Sol scores higher in agentic tasks (64 vs 56 on the category index, where 50 is average).
- Which is cheaper, DeepSeek V4.1 Flash or GPT-6.1 Sol?
- DeepSeek V4.1 Flash is cheaper: $0.525 against $4.00 per million tokens, blended at three input tokens per output token.
- Which is faster, DeepSeek V4.1 Flash or GPT-6.1 Sol?
- DeepSeek V4.1 Flash streams faster: 217 against 56 output tokens per second.
- Which has the larger context window?
- GPT-6.1 Sol accepts more context: 1.1M against 1M tokens.