DeepSeek V4.1 Flash vs Gemini 3.1 Pro
DeepSeek V4.1 Flash 
Gemini 3.1 Pro Verdict
- Gemini 3.1 Pro leads on quality: 63.9 vs 61.9.
- DeepSeek V4.1 Flash (max) is stronger in coding, composite, long context.
- Gemini 3.1 Pro is stronger in agents & tools, knowledge, multimodal, reasoning, human preference, instruction following, maths.
- DeepSeek V4.1 Flash (max) is 17× cheaper ($0.262 vs $4.50 per 1M blended).
- DeepSeek V4.1 Flash (max) streams 1.8× faster (215 vs 121 tokens per second).
| Metric | DeepSeek V4.1 Flash (max) | Gemini 3.1 Pro |
|---|---|---|
| BenchLeader Index | 61.9 | 63.9 |
| Agents & tools score | 59.6 | 60.4 |
| Coding score | 68.9 | 59.8 |
| Composite score | 74.5 | 67.5 |
| Knowledge score | 61.7 | 65.9 |
| Long context score | 68.5 | 67.5 |
| Multimodal score | 61.4 | 66.0 |
| Reasoning score | 69.5 | 70.8 |
| Human preference score | – | 59.8 |
| Instruction following score | – | 69.7 |
| Maths score | – | 61.9 |
| Blended price $/M | $0.262 | $4.50 |
| Output speed | 215 tok/s | 121 tok/s |
| Time to first answer | 10.5 s | 34.8 s |
| Context window | 1M | 1.0M |
| GPQA Diamond | – | 94.1% |
| FrontierMath Tiers 1–3 | – | 59.6% |
| FrontierMath Tier 4 | – | 26.8% |
| OTIS Mock AIME | – | 95.6% |
| Humanity's Last Exam | – | 46.4% |
| Terminal-Bench | – | 80.2% |
| SimpleBench | – | 79.6% |
| SciCode | – | 58.9% |
| WeirdML | – | 72.1% |
| APEX-Agents | – | 33.5% |
| ProofBench | – | 26.0% |
| GSO-Bench | – | 22.6% |
| Epoch Capabilities Index | – | 155 |
| LMArena Text | – | 1487 |
| LMArena Hard Prompts | – | 1508 |
| LMArena Coding | – | 1520 |
| LMArena WebDev | 1614 | 1447 |
| LMArena Vision | – | 1296 |
| LMArena Agent | 4.9 | -5.8 |
| LiveBench | 81.1% | – |
| LiveBench Reasoning | 86.7% | – |
| LiveBench Coding | 80.0% | – |
| LiveBench Agentic Coding | 77.3% | – |
| LiveBench Mathematics | 93.3% | – |
| LiveBench Data Analysis | 79.3% | – |
| LiveBench Language | 81.2% | – |
| LiveBench Instruction Following | 70.0% | – |
| AA Intelligence Index | 39.5 | 30.4 |
| IFBench | – | 77.1% |
| AA-LCR | 84.0% | 82.0% |
| MMMU-Pro | 77.0% | 82.4% |
| AA-Omniscience | -5.3 | 31.9 |
| Terminal-Bench Hard | – | 53.8% |
| GPQA Diamond (AA) | – | 94.1% |
| Humanity's Last Exam (AA) | 39.3% | 47.0% |
| SciCode (AA) | 51.9% | 58.7% |
| τ²-Bench Telecom (AA) | – | 95.6% |
| AIME 2026 | – | 98.3% |
| HMMT February 2026 | – | 94.7% |
| MathArena Apex | – | 60.9% |
| MultiChallenge | – | 71.4% |
| PRBench Finance | – | 41.9% |
| PRBench Legal | – | 44.0% |
| MultiNRC | – | 64.7% |
| HiL-Bench | – | 35.3% |
| TutorBench | – | 53.0% |
| EQ-Bench 4 | – | 1142 |
| ARC-AGI-1 | – | 98.0% |
| ARC-AGI-2 | – | 77.1% |
| ARC-AGI-3 | – | 0.4% |
| CritPt | 14.3% | 17.7% |
| GDPval (AA) | 56.6% | 20.2% |
| τ²-Bench Banking (AA) | – | 21.4% |
| ITBench SRE (AA) | – | 30.3% |
| Analyst Agent (AA) | – | 41.3% |
| APEX-Agents (AA) | – | 32.0% |
| CyberBench | – | 36.4% |
| FORTRESS | – | 29.8% |
| MASK | – | 42.4% |
| SWE Atlas: Codebase QnA | – | 13.5% |
| SWE Atlas: Refactoring | – | 33.8% |
| SWE Atlas: Test Writing | – | 29.8% |
| VTB | – | 29.0% |
| LMArena Maths | – | 1489 |
| LMArena Creative Writing | – | 1480 |
| LMArena Instruction Following | – | 1481 |
| LMArena Multi-turn | – | 1495 |
| LMArena Longer Queries | – | 1500 |
| LMArena Document | – | 1459 |
| Chess Puzzles | – | 55.0% |
| EBR-bench | – | 14.3% |
| BALROG | – | 57.0% |
| PostTrainBench | – | 22.0% |
| ExploitBench | – | 26.1% |
| CL-bench | – | 20.8% |
| CL-bench Life | – | 16.9% |
| METR Time Horizons | – | 77.0% |
| DeepSWE | – | 11.7% |
| ForecastBench | – | 59.0% |
| GBAEval | – | 0.8% |
| ALE-Bench | – | 1160.6 |
| AlgoTune | – | 2.0 |
| Vending-Bench 2 | – | 911.2 |
| Blueprint-Bench 2 | – | 26.5% |
| GDP.pdf | – | 17.0% |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
DeepSeek V4.1 Flash vs Gemini 3.1 Pro: questions
- Is DeepSeek V4.1 Flash better than Gemini 3.1 Pro?
- Gemini 3.1 Pro leads on quality: 63.9 vs 61.9. The BenchLeader Index combines every independent quality benchmark; Gemini 3.1 Pro is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is DeepSeek V4.1 Flash better than Gemini 3.1 Pro for coding?
- DeepSeek V4.1 Flash scores higher in coding (69 vs 60 on the category index, where 50 is average).
- Is DeepSeek V4.1 Flash better than Gemini 3.1 Pro for agentic tasks?
- Gemini 3.1 Pro scores higher in agentic tasks (60 vs 60 on the category index, where 50 is average).
- Which is cheaper, DeepSeek V4.1 Flash or Gemini 3.1 Pro?
- DeepSeek V4.1 Flash is cheaper: $0.262 against $4.50 per million tokens, blended at three input tokens per output token.
- Which is faster, DeepSeek V4.1 Flash or Gemini 3.1 Pro?
- DeepSeek V4.1 Flash streams faster: 215 against 121 output tokens per second.
- Which has the larger context window?
- Gemini 3.1 Pro accepts more context: 1.0M against 1M tokens.