Model comparison
GPT-6.1 Sol vs o1-mini
o1-mini has enough public results to be ranked (#230); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-6.1 Sol leads 51.4 to 35.1.
Side by side
| GPT-6.1 Sol | o1-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 42.1 | 33.7 |
| Released | 2026-09-29 | 2024-09-12 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 2 | 39 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 51.4, o1-mini: 35.1 (#218)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| DeepSWE | 75.2% | — |
| Aider Polyglot | — | 32.9% |
| WeirdML | — | 36.3% |
| LiveBench Coding | — | 48% |
| LMArena Coding | — | 1362 |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 34.3, o1-mini: 24.3 (#112)
Reasoning Not comparable
GPT-6.1 Sol: —, o1-mini: 8.9 (#340)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| ARC-AGI-2 | — | 0.8% |
| SimpleBench | — | 18.1% |
| ARC-AGI-1 | — | 14% |
| LiveBench Reasoning | — | 72.3% |
| LMArena Hard Prompts | — | 1333 |
| LiveBench Data Analysis | — | 57.9% |
| Epoch Capabilities Index | — | 135.82 |
| LiveBench | — | 57.8% |
Math Not comparable
GPT-6.1 Sol: —, o1-mini: 33.7 (#168)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 46.9% |
| LiveBench Math | — | 62% |
| LMArena Math | — | 1358 |
| MATH Level 5 | — | 89.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge Not comparable
GPT-6.1 Sol: —, o1-mini: 34.8 (#180)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| GPQA Diamond | — | 62.4% |
| Confabulations | — | 18.6% |
| LMArena Expert | — | 1316 |
Multilingual Not comparable
GPT-6.1 Sol: —, o1-mini: 43.8 (#177)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Non-English | — | 1289 |
| LMArena Chinese | — | 1314 |
| LMArena French | — | 1292 |
| LMArena German | — | 1278 |
| LMArena Japanese | — | 1245 |
| LMArena Korean | — | 1223 |
| LMArena Russian | — | 1283 |
| LMArena Spanish | — | 1302 |
Instruction Following Not comparable
GPT-6.1 Sol: —, o1-mini: 67.0 (#200)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LiveBench Instruction Following | — | 65.4% |
| LMArena Instruction Following | — | 1304 |
Long Context Not comparable
GPT-6.1 Sol: —, o1-mini: 40.1 (#156)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Longer Query | — | 1321 |
Writing & Preference Not comparable
GPT-6.1 Sol: —, o1-mini: 48.6 (#196)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Text | — | 1317 |
| LMArena Creative Writing | — | 1244 |
| Short-Story Creative Writing | — | 64.9% |
| LMArena Multi-Turn | — | 1314 |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is GPT-6.1 Sol better than o1-mini?
o1-mini has enough public results to be ranked (#230); GPT-6.1 Sol does not yet, so treat this comparison as directional.
Is GPT-6.1 Sol or o1-mini better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 35.1 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and o1-mini share?
0 benchmarks have published results for both models. GPT-6.1 Sol has 2 scored results on Noometry and o1-mini has 39.