Model comparison
Gemini 3 Pro vs GPT-6.1 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 54.8 on the Noometry Index.
Last verified . 23 shared benchmarks.
GoogleSummary
- They share 23 benchmarks with published results for both. Gemini 3 Pro scores higher in 4 categories and GPT-6.1 Sol in 6 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 49.9.
- The biggest single-benchmark swing is ProofBench: 20% for Gemini 3 Pro and 99% for GPT-6.1 Sol.
Side by side
| Gemini 3 Pro | GPT-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 54.8 | 65.6 |
| Released | 2025-11-18 | 2026-09-29 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $10 |
| Results tracked | 67 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
Gemini 3 Pro: 51.6 (#39), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| LMArena WebDev | 1440 | 1755 |
| LMArena Coding | 1481 | 1487 |
| SWE-bench Verified | 72.9% | — |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| SWE-bench Verified (bash only) | 74.2% | — |
| SWE-bench Multilingual | 68.7% | — |
| SciCode | — | 55.8% |
| GSO | 18.6% | — |
| WeirdML | 69.9% | — |
| ALE-Bench | 1,177 | — |
| AlgoTune | 1.83 | — |
Agentic & Tool Use Gemini 3 Pro leads
Gemini 3 Pro: 40.6 (#23), GPT-6.1 Sol: 39.6 (#26)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| Terminal-Bench | 69.4% | — |
| APEX-Agents | — | 60% |
| Berkeley Function Calling Leaderboard | 72.5% | — |
| GDPval | 40.3% | — |
| Remote Labor Index | 1.3% | — |
| τ²-bench Airline | 80.5% | — |
| τ²-bench Banking | 18% | — |
| τ²-bench Retail | 75.9% | — |
| τ²-bench Telecom | 91% | — |
| DeepResearch Bench | 46.3% | — |
| BALROG | 58.1% | — |
| GDP.pdf | — | 32% |
| LMArena Search | 1207 | — |
| METR Time Horizons | 71% | — |
| Vending-Bench 2 | 5,478 | — |
Reasoning GPT-6.1 Sol leads
Gemini 3 Pro: 52.5 (#31), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| ARC-AGI-2 | 31.1% | 94.2% |
| NYT Connections (extended) | 94.4% | 95.5% |
| ARC-AGI-1 | 75% | 98.5% |
| CritPt | 6.9% | 31.7% |
| Chess Puzzles | 31% | 61% |
| LMArena Hard Prompts | 1480 | 1466 |
| Epoch Capabilities Index | 152.92 | 166.09 |
| SimpleBench | 76.4% | — |
| Kagi LLM Benchmark | 80.1% | — |
| EnigmaEval | 18.2% | — |
| EBR-Bench | — | 54.3% |
| Mystery Game Puzzles | — | 80% |
| ForecastBench | 61.2 | — |
Math GPT-6.1 Sol leads
Gemini 3 Pro: 49.9 (#59), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 91.4% | 100% |
| ProofBench | 20% | 99% |
| LMArena Math | 1476 | 1464 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| MathArena Final-Answer Competitions | 67% | — |
| Omni-MATH | 55.5% | — |
| FrontierMath (Feb 2025 set) | 37.6% | — |
| FrontierMath Tier 4 (v1) | 18.8% | — |
Knowledge GPT-6.1 Sol leads
Gemini 3 Pro: 64.4 (#16), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 92.6% | 95.4% |
| LMArena Expert | 1475 | 1502 |
| Humanity's Last Exam | 37.5% | — |
| SimpleQA Verified | — | 73.9% |
| MMLU-Pro | 90.3% | — |
| Vectara Hallucination Rate | 13.6% | — |
| GPQA (HELM) | 80.3% | — |
Multimodal Gemini 3 Pro leads
Gemini 3 Pro: 57.6 (#2), GPT-6.1 Sol: 52.7 (#5)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1305 | 1288 |
| GeoBench | 84% | — |
| VPCT | 91% | — |
| Furniture Assembly | — | 80% |
| LMArena Document | 1434 | — |
Multilingual Gemini 3 Pro leads
Gemini 3 Pro: 56.9 (#16), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1474 | 1438 |
| LMArena Chinese | 1523 | 1477 |
| LMArena Russian | 1493 | 1455 |
| LMArena French | 1492 | — |
| LMArena German | 1515 | — |
| LMArena Japanese | 1510 | — |
| LMArena Korean | 1448 | — |
| LMArena Spanish | 1470 | — |
Instruction Following Too close to call
Gemini 3 Pro: 76.3 (#45), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1458 | 1468 |
| IFEval | 87.7% | — |
Long Context Too close to call
Gemini 3 Pro: 44.0 (#79), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1471 | 1465 |
| CL-bench | 15.8% | — |
Writing & Preference Gemini 3 Pro leads
Gemini 3 Pro: 66.4 (#35), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | Gemini 3 Pro | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1479 | 1447 |
| LMArena Creative Writing | 1482 | 1432 |
| LMArena Multi-Turn | 1484 | 1449 |
| EQ-Bench Creative Writing | 1525 | — |
| WildBench | 85.9% | — |
Frequently asked questions
Is Gemini 3 Pro better than GPT-6.1 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 54.8 on the Noometry Index.
Is Gemini 3 Pro or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 51.6 in the Noometry coding category.
How many benchmarks do Gemini 3 Pro and GPT-6.1 Sol share?
23 benchmarks have published results for both models. Gemini 3 Pro has 67 scored results on Noometry and GPT-6.1 Sol has 34.