Model comparison
GPT-6.1 Sol vs o1-mini
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 34.0 on the Noometry Index.
Last verified . 17 shared benchmarks.
Summary
- They share 17 benchmarks with published results for both. GPT-6.1 Sol scores higher in 9 categories and o1-mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 8.8.
- The biggest single-benchmark swing is ARC-AGI-2: 94.2% for GPT-6.1 Sol and 0.8% for o1-mini.
Side by side
| GPT-6.1 Sol | o1-mini | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 65.6 | 34.0 |
| 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 | 34 | 39 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), o1-mini: 35.5 (#224)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Coding | 1487 | 1362 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| Aider Polyglot | — | 32.9% |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| WeirdML | — | 36.3% |
| LiveBench Coding | — | 48% |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |
Agentic & Tool Use GPT-6.1 Sol leads
GPT-6.1 Sol: 39.6 (#26), o1-mini: 24.6 (#118)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| APEX-Agents | 60% | — |
| Cybench | — | 10% |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), o1-mini: 8.8 (#346)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| ARC-AGI-2 | 94.2% | 0.8% |
| ARC-AGI-1 | 98.5% | 14% |
| LMArena Hard Prompts | 1466 | 1333 |
| Epoch Capabilities Index | 166.09 | 135.82 |
| SimpleBench | — | 18.1% |
| NYT Connections (extended) | 95.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| LiveBench Reasoning | — | 72.3% |
| Mystery Game Puzzles | 80% | — |
| LiveBench Data Analysis | — | 57.9% |
| LiveBench | — | 57.8% |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), o1-mini: 35.4 (#186)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 100% | 46.9% |
| LMArena Math | 1464 | 1358 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| ProofBench | 99% | — |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), o1-mini: 34.9 (#192)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| GPQA Diamond | 95.4% | 62.4% |
| LMArena Expert | 1502 | 1316 |
| SimpleQA Verified | 73.9% | — |
| Confabulations | — | 18.6% |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), o1-mini: —
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), o1-mini: 43.6 (#182)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Non-English | 1438 | 1289 |
| LMArena Chinese | 1477 | 1314 |
| LMArena Russian | 1455 | 1283 |
| LMArena French | — | 1293 |
| LMArena German | — | 1278 |
| LMArena Japanese | — | 1245 |
| LMArena Korean | — | 1223 |
| LMArena Spanish | — | 1303 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), o1-mini: 66.7 (#206)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1468 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), o1-mini: 40.1 (#161)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Longer Query | 1465 | 1320 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), o1-mini: 48.4 (#202)
| Benchmark | GPT-6.1 Sol | o1-mini |
|---|---|---|
| LMArena Text | 1447 | 1317 |
| LMArena Creative Writing | 1432 | 1244 |
| LMArena Multi-Turn | 1449 | 1314 |
| Short-Story Creative Writing | — | 64.9% |
| LiveBench Language | — | 40.9% |
Frequently asked questions
Is GPT-6.1 Sol better than o1-mini?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 34.0 on the Noometry Index.
Is GPT-6.1 Sol or o1-mini better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 35.5 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and o1-mini share?
17 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and o1-mini has 39.