Model comparison
Gemini 2.0 Flash (Feb 2025) vs GPT-6.1 Sol
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 35.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
GoogleSummary
- They share 17 benchmarks with published results for both. Gemini 2.0 Flash (Feb 2025) scores higher in 0 categories and GPT-6.1 Sol in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 15.2.
- The biggest single-benchmark swing is ARC-AGI-2: 1.3% for Gemini 2.0 Flash (Feb 2025) and 94.2% for GPT-6.1 Sol.
Side by side
| Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 35.1 | 65.6 |
| Released | 2024-12-06 | 2026-09-29 |
| Weights | Proprietary | Proprietary |
| Context window | — | 1.05M |
| Max output | — | 128K |
| Input $ / M tokens | — | $2 |
| Output $ / M tokens | — | $10 |
| Results tracked | 54 | 34 |
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Category by category
Coding GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 28.4 (#315), GPT-6.1 Sol: 63.2 (#8)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| LMArena Coding | 1350 | 1487 |
| DeepSWE | — | 75.2% |
| FrontierCode | — | 50.2% |
| SWE-bench Verified (bash only) | 13.5% | — |
| Aider Polyglot | 38.2% | — |
| LMArena WebDev | — | 1755 |
| SciCode | — | 55.8% |
| WeirdML | 25.8% | — |
| BigCodeBench Instruct | 45.9% | — |
| LiveBench Coding | 63.4% | — |
| BigCodeBench Complete | 59.9% | — |
| CadEval | 30% | — |
Agentic & Tool Use GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 28.1 (#92), GPT-6.1 Sol: 39.6 (#26)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| APEX-Agents | — | 60% |
| TheAgentCompany | 11.4% | — |
| GDP.pdf | — | 32% |
Reasoning GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 15.2 (#318), GPT-6.1 Sol: 81.9 (#2)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| ARC-AGI-2 | 1.3% | 94.2% |
| LMArena Hard Prompts | 1346 | 1466 |
| Epoch Capabilities Index | 135.36 | 166.09 |
| SimpleBench | 31.1% | — |
| Kagi LLM Benchmark | 37.8% | — |
| NYT Connections (extended) | — | 95.5% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| Chess Puzzles | — | 61% |
| EnigmaEval | 1.1% | — |
| EBR-Bench | — | 54.3% |
| LiveBench Reasoning | 78.2% | — |
| Mystery Game Puzzles | — | 80% |
| DTBench | 63.2% | — |
| LiveBench Data Analysis | 69.4% | — |
| LiveBench | 66.9% | — |
Math GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 37.9 (#146), GPT-6.1 Sol: 93.7 (#1)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 57.8% | 100% |
| LMArena Math | 1352 | 1464 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 100% |
| ProofBench | — | 99% |
| Omni-MATH | 45.9% | — |
| LiveBench Math | 75.8% | — |
| MATH Level 5 | 82.2% | — |
| FrontierMath (Feb 2025 set) | 1.7% | — |
Knowledge GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 32.0 (#213), GPT-6.1 Sol: 71.8 (#4)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| GPQA Diamond | 64.1% | 95.4% |
| LMArena Expert | 1339 | 1502 |
| Humanity's Last Exam | 6.6% | — |
| SimpleQA Verified | — | 73.9% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 12.4% | — |
| GPQA (HELM) | 55.6% | — |
| MMLU | 79.7% | — |
Multimodal GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 36.5 (#79), GPT-6.1 Sol: 52.7 (#5)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| LMArena Vision | 1158 | 1288 |
| GeoBench | 77% | — |
| Furniture Assembly | — | 80% |
Multilingual GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 47.4 (#149), GPT-6.1 Sol: 54.3 (#46)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| LMArena Non-English | 1342 | 1438 |
| LMArena Chinese | 1373 | 1477 |
| LMArena Russian | 1351 | 1455 |
| LMArena French | 1391 | — |
| LMArena German | 1353 | — |
| LMArena Japanese | 1294 | — |
| LMArena Korean | 1313 | — |
| LMArena Spanish | 1363 | — |
Instruction Following GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 74.4 (#97), GPT-6.1 Sol: 77.0 (#29)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| LMArena Instruction Following | 1336 | 1468 |
| LiveBench Instruction Following | 85.8% | — |
| IFEval | 84.1% | — |
Long Context GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 38.1 (#203), GPT-6.1 Sol: 44.9 (#54)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| LMArena Longer Query | 1344 | 1465 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GPT-6.1 Sol leads
Gemini 2.0 Flash (Feb 2025): 49.5 (#190), GPT-6.1 Sol: 63.6 (#63)
| Benchmark | Gemini 2.0 Flash (Feb 2025) | GPT-6.1 Sol |
|---|---|---|
| LMArena Text | 1354 | 1447 |
| LMArena Creative Writing | 1340 | 1432 |
| LMArena Multi-Turn | 1350 | 1449 |
| Short-Story Creative Writing | 73.8% | — |
| EQ-Bench Creative Writing | 1128 | — |
| WildBench | 80% | — |
| LiveBench Language | 51.3% | — |
Frequently asked questions
Is Gemini 2.0 Flash (Feb 2025) better than GPT-6.1 Sol?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 35.1 on the Noometry Index.
Is Gemini 2.0 Flash (Feb 2025) or GPT-6.1 Sol better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 28.4 in the Noometry coding category.
How many benchmarks do Gemini 2.0 Flash (Feb 2025) and GPT-6.1 Sol share?
17 benchmarks have published results for both models. Gemini 2.0 Flash (Feb 2025) has 54 scored results on Noometry and GPT-6.1 Sol has 34.