DeepSeek V4 Pro vs Gemini 3 Pro
DeepSeek V4 Pro 
Gemini 3 Pro Verdict
- DeepSeek V4 Pro (max) leads on quality: 64.2 vs 61.1.
- DeepSeek V4 Pro (max) is stronger in agents & tools, composite, instruction following, knowledge, long context, reasoning.
- Gemini 3 Pro is stronger in maths, human preference, multimodal.
- DeepSeek V4 Pro (max) is 8.3× cheaper ($0.544 vs $4.50 per 1M blended).
| Metric | DeepSeek V4 Pro (max) | Gemini 3 Pro |
|---|---|---|
| BenchLeader Index | 64.2 | 61.1 |
| Agents & tools score | 70.2 | 61.4 |
| Coding score | 58.8 | 58.8 |
| Composite score | 75.0 | – |
| Instruction following score | 74.3 | 61.9 |
| Knowledge score | 58.1 | 56.5 |
| Long context score | 66.6 | – |
| Maths score | 53.7 | 54.8 |
| Reasoning score | 70.9 | 67.1 |
| Human preference score | – | 68.8 |
| Multimodal score | – | 66.0 |
| Blended price $/M | $0.544 | $4.50 |
| Output speed | 81 tok/s | – |
| Time to first answer | 55.6 s | – |
| Context window | 1M | 1.0M |
| GPQA Diamond | 89.7% | 92.6% |
| FrontierMath Tiers 1–3 | 45.3% | – |
| FrontierMath Tier 4 | 2.4% | – |
| OTIS Mock AIME | 96.7% | 91.4% |
| SWE-bench Verified (Epoch) | 77.6% | 72.9% |
| SimpleQA Verified | 47.0% | – |
| Humanity's Last Exam | – | 37.5% |
| Terminal-Bench | – | 69.4% |
| SimpleBench | – | 76.4% |
| GDPval | – | 40.3% |
| SciCode | 50.0% | – |
| Remote Labor Index | – | 1.3% |
| WeirdML | 48.9% | 69.9% |
| APEX-Agents | – | 31.5% |
| ProofBench | 16.0% | 20.0% |
| GSO-Bench | – | 18.6% |
| Epoch Capabilities Index | – | 153 |
| LMArena Text | – | 1486 |
| LMArena Hard Prompts | – | 1504 |
| LMArena Coding | – | 1518 |
| LMArena WebDev | – | 1439 |
| LMArena Vision | – | 1304 |
| AA Intelligence Index | 36.3 | – |
| IFBench | 76.5% | – |
| AA-LCR | 80.3% | – |
| AA-Omniscience | 0.8 | – |
| Terminal-Bench Hard | 46.2% | – |
| GPQA Diamond (AA) | 92.8% | – |
| Humanity's Last Exam (AA) | 41.0% | – |
| SciCode (AA) | 51.0% | – |
| τ²-Bench Telecom (AA) | 96.2% | – |
| LiveCodeBench | 87.5% | 86.4% |
| MMLU-Pro | 87.3% | 90.1% |
| LegalBench | 80.3% | – |
| CorpFin | 61.4% | – |
| TaxEval | 72.1% | – |
| SWE-bench (Vals) | 77.4% | – |
| GPQA Diamond (Vals) | 89.4% | – |
| Vals Index | 42.9 | – |
| AIME 2026 | 96.7% | 91.7% |
| HMMT February 2026 | 93.9% | 86.4% |
| MathArena Apex | 28.1% | 23.4% |
| SWE-Bench Pro | – | 43.3% |
| MCP Atlas | – | 70.3% |
| MultiChallenge | – | 65.7% |
| PRBench Finance | – | 39.2% |
| PRBench Legal | – | 40.6% |
| VISTA | – | 51.5% |
| MultiNRC | – | 59.0% |
| TutorBench | – | 53.7% |
| MMMU-Pro (official) | – | 81.0% |
| Kagi LLM Benchmark | – | 80.1% |
| IFEval (HELM) | – | 87.6% |
| Omni-MATH (HELM) | – | 55.6% |
| WildBench (HELM) | – | 85.9% |
| MMLU-Pro (HELM) | – | 90.3% |
| GPQA Diamond (HELM) | – | 80.3% |
| HELM Capabilities mean | – | 79.9% |
| SWE-bench Verified (bash only) | – | 74.2% |
| SWE-bench Verified (any scaffold) | – | 77.4% |
| ARC-AGI-1 | – | 75.0% |
| ARC-AGI-2 | – | 54.0% |
| BFCL Overall | – | 72.5% |
| CritPt | 18.0% | – |
| GDPval (AA) | 49.7% | – |
| τ²-Bench Banking (AA) | 39.6% | – |
| ITBench SRE (AA) | 38.3% | – |
| Analyst Agent (AA) | 18.8% | – |
| APEX-Agents (AA) | 24.3% | – |
| CaseLaw v2 | 59.4% | – |
| Code Migration | 26.2% | – |
| Excel Modeling Benchmark | 51.6% | – |
| Finance Agent v2 | 44.1% | – |
| Harvey's Legal Agent Benchmark | 3.8% | – |
| Legal Research Bench | 23.1% | – |
| MedCode | 40.5% | – |
| MedScribe | 75.1% | – |
| Poker Agent | – | 1078.9% |
| ProgramBench | 0.0% | – |
| Public Benefits Bench | 62.9% | – |
| SkillsBench | 51.3% | – |
| Vibe Code Bench v1.1 | 49.9% | – |
| FORTRESS | – | 41.7% |
| MASK | – | 42.6% |
| PropensityBench | – | 52.9% |
| SciPredict | – | 25.3% |
| SWE-Bench Pro (private) | – | 17.9% |
| VTB | – | 26.9% |
| LMArena Maths | – | 1477 |
| LMArena Creative Writing | – | 1483 |
| LMArena Instruction Following | – | 1473 |
| LMArena Multi-turn | – | 1495 |
| LMArena Longer Queries | – | 1491 |
| LMArena Document | – | 1451 |
| Chess Puzzles | 20.0% | 31.0% |
| BALROG | – | 58.1% |
| GeoBench | – | 84.0% |
| VPCT | – | 91.0% |
| CL-bench | – | 15.8% |
| METR Time Horizons | – | 71.0% |
| LMCA | 41.2% | – |
| DTBench | 90.7% | – |
| ForecastBench | – | 61.2% |
| ALE-Bench | – | 1176.8 |
| AlgoTune | – | 1.8 |
| Vending-Bench 2 | – | 5478.2 |
Data as of 2026-09-19. Best configuration of each model; every score links to its source on the model pages.
DeepSeek V4 Pro vs Gemini 3 Pro: questions
- Is DeepSeek V4 Pro better than Gemini 3 Pro?
- DeepSeek V4 Pro (max) leads on quality: 64.2 vs 61.1. The BenchLeader Index combines every independent quality benchmark; DeepSeek V4 Pro (max) is ahead overall as of 2026-09-19, but check the category scores for your use.
- Is DeepSeek V4 Pro better than Gemini 3 Pro for coding?
- They are level in coding (59 each).
- Is DeepSeek V4 Pro better than Gemini 3 Pro for agentic tasks?
- DeepSeek V4 Pro scores higher in agentic tasks (70 vs 61 on the category index, where 50 is average).
- Which is cheaper, DeepSeek V4 Pro or Gemini 3 Pro?
- DeepSeek V4 Pro is cheaper: $0.544 against $4.50 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- Gemini 3 Pro accepts more context: 1.0M against 1M tokens.