Gemini 3 Pro vs GPT-6.1 Sol
Gemini 3 Pro 
GPT-6.1 Sol Verdict
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 60.6.
- Gemini 3 Pro is stronger in human preference, instruction following.
- GPT-6.1 Sol (max) is stronger in agents & tools, coding, knowledge, maths, multimodal, reasoning, composite, long context.
| Metric | Gemini 3 Pro | GPT-6.1 Sol (max) |
|---|---|---|
| BenchLeader Index | 60.6 | 69.3 |
| Agents & tools score | 61.8 | 63.9 |
| Coding score | 57.9 | 72.4 |
| Human preference score | 68.3 | 68.1 |
| Instruction following score | 61.0 | – |
| Knowledge score | 56.4 | 78.8 |
| Maths score | 54.4 | 72.5 |
| Multimodal score | 65.6 | 66.2 |
| Reasoning score | 65.8 | 76.4 |
| Composite score | – | 79.0 |
| Long context score | – | 66.8 |
| Blended price $/M | – | $4.00 |
| Output speed | – | 56 tok/s |
| Time to first answer | – | 326.9 s |
| Context window | – | 1.1M |
| GPQA Diamond | 92.6% | 95.4% |
| FrontierMath Tiers 1–3 | – | 93.7% |
| FrontierMath Tier 4 | – | 100.0% |
| OTIS Mock AIME | 91.4% | 100.0% |
| SWE-bench Verified (Epoch) | 72.9% | – |
| SimpleQA Verified | – | 73.9% |
| Humanity's Last Exam | 37.5% | – |
| Terminal-Bench | 69.4% | 58.2% |
| SimpleBench | 76.4% | – |
| GDPval | 40.3% | – |
| SciCode | – | 54.2% |
| Remote Labor Index | 1.3% | – |
| WeirdML | 69.9% | – |
| APEX-Agents | – | 60.0% |
| ProofBench | 20.0% | – |
| GSO-Bench | 18.6% | – |
| Epoch Capabilities Index | 152.9 | – |
| LMArena Text | 1486 | 1484 |
| LMArena Hard Prompts | 1502 | 1507 |
| LMArena Coding | 1517 | 1545 |
| LMArena WebDev | 1440 | 1755 |
| LMArena Vision | 1305 | 1288 |
| LMArena Agent | – | 11.7 |
| LiveBench | – | 81.6% |
| LiveBench Reasoning | – | 92.6% |
| LiveBench Coding | – | 80.4% |
| LiveBench Agentic Coding | – | 54.5% |
| LiveBench Mathematics | – | 96.8% |
| LiveBench Data Analysis | – | 82.7% |
| LiveBench Language | – | 90.1% |
| LiveBench Instruction Following | – | 74.2% |
| AA Intelligence Index v4.3.2 | – | 51.8 |
| AA-LCR | – | 83.0% |
| MMMU-Pro | – | 86.0% |
| AA-Omniscience | – | 41.5 |
| Humanity's Last Exam (AA) | – | 52.9% |
| SciCode (AA) | – | 54.2% |
| LiveCodeBench | 86.4% | – |
| MMLU-Pro | 90.1% | – |
| IOI | – | 96.9% |
| Vals Index | – | 61.1 |
| AIME 2026 | 91.7% | – |
| HMMT February 2026 | 86.4% | – |
| MathArena Apex | 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) | 74.2% | – |
| ARC-AGI-1 | 75.0% | 96.5% |
| ARC-AGI-2 | 54.0% | 94.2% |
| ARC-AGI-3 | – | 96.2% |
| BFCL Overall | 72.5% | – |
| CritPt | – | 31.7% |
| GDPval-AA v2.1 | – | 53.8% |
| 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 | – | 5.4% |
| Legal Research Bench | – | 38.5% |
| MedCode | – | 48.8% |
| MedScribe | – | 86.5% |
| MysteryMechanism | – | 46.4% |
| Poker Agent | 1078.9% | – |
| Public Benefits Bench | – | 59.3% |
| SAGE | – | 46.5% |
| SREBench | – | 50.8% |
| Tax Agent Bench | – | 62.3% |
| Terminal-Bench 4.0 (Vals) | – | 55.0% |
| Vibe Code Bench v1.1 | – | 88.9% |
| FORTRESS | 41.7% | – |
| MASK | 42.6% | – |
| PropensityBench | 52.9% | – |
| SciPredict | 25.3% | – |
| SWE-Bench Pro (private) | 43.3% | – |
| LMArena Maths | 1477 | 1488 |
| LMArena Creative Writing | 1485 | 1462 |
| LMArena Instruction Following | 1473 | 1488 |
| LMArena Multi-turn | 1496 | 1487 |
| LMArena Longer Queries | 1491 | 1496 |
| LMArena Document | 1451 | – |
| Chess Puzzles | 31.0% | 61.0% |
| EBR-bench | – | 54.3% |
| Mystery Game Puzzles | – | 80.0% |
| BALROG | 58.1% | – |
| GeoBench | 84.0% | – |
| VPCT | 91.0% | – |
| CL-bench | 15.8% | – |
| METR Time Horizons | 71.0% | – |
| ForecastBench | 61.2% | – |
| ALE-Bench | 1176.8 | – |
| AlgoTune | 1.8 | – |
| Vending-Bench 2 | 5478.2 | – |
| Terminal-Bench 4.0 (AA) | – | 56.1% |
| AutomationBench | – | 64.9% |
| GDP.pdf | – | 31.0% |
| MLCR | – | 33.9% |
| Harvey LAB | – | 6.9% |
| AA-Omniscience: accuracy | – | 62.1% |
| AA-Omniscience: non-hallucination | – | 45.7% |
| AA-Briefcase v1.1 | – | 1557 |
Data as of 2026-10-11. Best configuration of each model; every score links to its source on the model pages.
Gemini 3 Pro vs GPT-6.1 Sol: questions
- Is Gemini 3 Pro better than GPT-6.1 Sol?
- GPT-6.1 Sol (max) leads on quality: 69.3 vs 60.6. 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 Gemini 3 Pro better than GPT-6.1 Sol for coding?
- GPT-6.1 Sol scores higher in coding (72 vs 58 on the category index, where 50 is average).
- Is Gemini 3 Pro better than GPT-6.1 Sol for agentic tasks?
- GPT-6.1 Sol scores higher in agentic tasks (64 vs 62 on the category index, where 50 is average).