# gpt-oss-120b vs o1-mini

> gpt-oss-120b is the stronger model overall, scoring 36.0 to 33.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-oss-120b-vs-o1-mini
- Last updated: 2026-10-10
- Shared benchmarks: 25

## Summary

- They share 25 benchmarks with published results for both. gpt-oss-120b scores higher in 5 categories and o1-mini in 4 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 50.6 to 33.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for gpt-oss-120b and 46.9% for o1-mini.
- gpt-oss-120b has downloadable open weights; the other is API-only.

## Snapshot

| | gpt-oss-120b | o1-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 36.0 | 33.7 |
| Rank | 210 | 230 |
| Context | 131K | — |
| Input $/M | $0.037 | — |
| Output $/M | $0.17 | — |
| Weights | Open | Proprietary |

## Coding

- gpt-oss-120b: 33.2 (#251)
- o1-mini: 35.1 (#218)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| Aider Polyglot | 41.8% | 32.9% |
| WeirdML | 48.2% | 36.3% |
| LMArena Coding | 1380 | 1362 |
| SWE-bench Verified (bash only) | 26% | — |
| SciCode | 36% | — |
| LiveBench Coding | — | 48% |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |
| HumanEval+ | — | 89% |
| MBPP+ | — | 78.8% |

## Agentic & Tool Use

- gpt-oss-120b: 12.1 (#145)
- o1-mini: 24.3 (#112)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| Cybench | — | 10% |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |

## Reasoning

- gpt-oss-120b: 19.5 (#236)
- o1-mini: 8.9 (#340)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| SimpleBench | 22.1% | 18.1% |
| LMArena Hard Prompts | 1364 | 1333 |
| Epoch Capabilities Index | 139.94 | 135.82 |
| ARC-AGI-2 | — | 0.8% |
| Kagi LLM Benchmark | 58.6% | — |
| ARC-AGI-1 | — | 14% |
| CritPt | 1.1% | — |
| Chess Puzzles | 20% | — |
| LiveBench Reasoning | — | 72.3% |
| Mystery Game Puzzles | 2% | — |
| DTBench | 76.3% | — |
| LiveBench Data Analysis | — | 57.9% |
| LMCA | 22.1% | — |
| Surface Evolver Bench | 25% | — |
| LiveBench | — | 57.8% |

## Math

- gpt-oss-120b: 50.6 (#43)
- o1-mini: 33.7 (#168)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 46.9% |
| LMArena Math | 1388 | 1358 |
| Omni-MATH | 68.8% | — |
| LiveBench Math | — | 62% |
| MATH Level 5 | — | 89.2% |
| FrontierMath (Feb 2025 set) | — | 1.7% |

## Knowledge

- gpt-oss-120b: 42.3 (#89)
- o1-mini: 34.8 (#180)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| GPQA Diamond | 75.8% | 62.4% |
| Confabulations | 15.7% | 18.6% |
| LMArena Expert | 1356 | 1316 |
| MMLU-Pro | 79.5% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |

## Multilingual

- gpt-oss-120b: 48.2 (#142)
- o1-mini: 43.8 (#177)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| LMArena Non-English | 1350 | 1289 |
| LMArena Chinese | 1384 | 1314 |
| LMArena French | 1370 | 1292 |
| LMArena German | 1355 | 1278 |
| LMArena Japanese | 1332 | 1245 |
| LMArena Korean | 1283 | 1223 |
| LMArena Russian | 1343 | 1283 |
| LMArena Spanish | 1388 | 1302 |

## Instruction Following

- gpt-oss-120b: 69.5 (#168)
- o1-mini: 67.0 (#200)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| LMArena Instruction Following | 1318 | 1304 |
| LiveBench Instruction Following | — | 65.4% |
| IFEval | 83.6% | — |

## Long Context

- gpt-oss-120b: 31.4 (#273)
- o1-mini: 40.1 (#156)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| LMArena Longer Query | 1319 | 1321 |
| Fiction.LiveBench | 44.4% | — |

## Writing & Preference

- gpt-oss-120b: 46.7 (#213)
- o1-mini: 48.6 (#196)

| Benchmark | gpt-oss-120b | o1-mini |
|---|---|---|
| LMArena Text | 1366 | 1317 |
| LMArena Creative Writing | 1274 | 1244 |
| Short-Story Creative Writing | 77.1% | 64.9% |
| LMArena Multi-Turn | 1340 | 1314 |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |
| LiveBench Language | — | 40.9% |

## FAQ

### Is gpt-oss-120b better than o1-mini?

gpt-oss-120b is the stronger model overall, scoring 36.0 to 33.7 on the Noometry Index.

### Is gpt-oss-120b or o1-mini better for coding?

o1-mini scores higher on coding benchmarks: 35.1 versus 33.2 in the Noometry coding category.

### How many benchmarks do gpt-oss-120b and o1-mini share?

25 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and o1-mini has 39.