# Gemini 1.0 Pro vs gpt-oss-120b

> gpt-oss-120b is the stronger model overall, scoring 36.3 to 27.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemini-1-0-pro-vs-gpt-oss-120b
- Last updated: 2026-10-10
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 1 category and gpt-oss-120b in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 9.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemini 1.0 Pro and 88.9% for gpt-oss-120b.
- gpt-oss-120b has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 27.3 | 36.3 |
| Rank | 332 | 217 |
| Context | — | 131K |
| Input $/M | — | $0.037 |
| Output $/M | — | $0.17 |
| Weights | Proprietary | Open |

## Coding

- Gemini 1.0 Pro: 32.2 (#275)
- gpt-oss-120b: 33.5 (#256)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1108 | 1380 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
| HumanEval+ | 55.5% | — |
| MBPP+ | 61.4% | — |

## Agentic & Tool Use

- Gemini 1.0 Pro: —
- gpt-oss-120b: 12.2 (#153)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |

## Reasoning

- Gemini 1.0 Pro: 17.1 (#296)
- gpt-oss-120b: 20.0 (#245)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Hard Prompts | 1109 | 1364 |
| DTBench | 45.9% | 76.3% |
| Epoch Capabilities Index | 117.04 | 139.93 |
| SimpleBench | — | 22.1% |
| Kagi LLM Benchmark | — | 58.6% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| Mystery Game Puzzles | — | 2% |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |

## Math

- Gemini 1.0 Pro: 9.3 (#321)
- gpt-oss-120b: 52.5 (#50)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 88.9% |
| LMArena Math | 1132 | 1389 |
| Omni-MATH | — | 68.8% |
| MATH Level 5 | 11.2% | — |

## Knowledge

- Gemini 1.0 Pro: 15.6 (#291)
- gpt-oss-120b: 42.4 (#96)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| GPQA Diamond | 34% | 75.8% |
| LMArena Expert | 1059 | 1356 |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
| MMLU | 70% | — |

## Multilingual

- Gemini 1.0 Pro: 33.4 (#252)
- gpt-oss-120b: 48.0 (#147)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1138 | 1351 |
| LMArena Chinese | 1124 | 1385 |
| LMArena French | 1145 | 1369 |
| LMArena German | 1125 | 1353 |
| LMArena Japanese | 1023 | 1331 |
| LMArena Russian | 1186 | 1343 |
| LMArena Spanish | 1119 | 1389 |
| LMArena Korean | — | 1282 |

## Instruction Following

- Gemini 1.0 Pro: 57.6 (#267)
- gpt-oss-120b: 69.3 (#173)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1114 | 1318 |
| IFEval | — | 83.6% |

## Long Context

- Gemini 1.0 Pro: 34.3 (#249)
- gpt-oss-120b: 31.4 (#278)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1132 | 1319 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Gemini 1.0 Pro: 36.0 (#264)
- gpt-oss-120b: 46.5 (#217)

| Benchmark | Gemini 1.0 Pro | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1149 | 1365 |
| LMArena Creative Writing | 1131 | 1275 |
| LMArena Multi-Turn | 1139 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |

## FAQ

### Is Gemini 1.0 Pro better than gpt-oss-120b?

gpt-oss-120b is the stronger model overall, scoring 36.3 to 27.3 on the Noometry Index.

### Is Gemini 1.0 Pro or gpt-oss-120b better for coding?

gpt-oss-120b scores higher on coding benchmarks: 33.5 versus 32.2 in the Noometry coding category.

### How many benchmarks do Gemini 1.0 Pro and gpt-oss-120b share?

20 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and gpt-oss-120b has 48.