# Gemma 2 9B vs gpt-oss-120b

> gpt-oss-120b is the stronger model overall, scoring 36.0 to 25.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-2-9b-vs-gpt-oss-120b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemma 2 9B 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 50.6 to 9.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 0.6% for Gemma 2 9B and 88.9% for gpt-oss-120b.

## Snapshot

| | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 25.7 | 36.0 |
| Rank | 334 | 210 |
| Context | — | 131K |
| Input $/M | — | $0.037 |
| Output $/M | — | $0.17 |
| Weights | Open | Open |

## Coding

- Gemma 2 9B: 29.0 (#299)
- gpt-oss-120b: 33.2 (#251)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1174 | 1380 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| BigCodeBench Instruct | 34.7% | — |
| LiveBench Coding | 22.5% | — |
| BigCodeBench Complete | 40.6% | — |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |

## Agentic & Tool Use

- Gemma 2 9B: —
- gpt-oss-120b: 12.1 (#145)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |

## Reasoning

- Gemma 2 9B: 15.3 (#306)
- gpt-oss-120b: 19.5 (#236)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| LMArena Hard Prompts | 1172 | 1364 |
| Epoch Capabilities Index | 119.78 | 139.94 |
| SimpleBench | — | 22.1% |
| Kagi LLM Benchmark | — | 58.6% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| LiveBench Reasoning | 15.2% | — |
| Mystery Game Puzzles | — | 2% |
| DTBench | — | 76.3% |
| LiveBench Data Analysis | 36.4% | — |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |
| LiveBench | 28.7% | — |
| PIQA | 83.7% | — |

## Math

- Gemma 2 9B: 9.3 (#312)
- gpt-oss-120b: 50.6 (#43)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 0.6% | 88.9% |
| LMArena Math | 1183 | 1388 |
| Omni-MATH | — | 68.8% |
| LiveBench Math | 19.8% | — |
| MATH Level 5 | 21% | — |
| GSM8K | 84.9% | — |

## Knowledge

- Gemma 2 9B: 9.7 (#300)
- gpt-oss-120b: 42.3 (#89)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| GPQA Diamond | 27.5% | 75.8% |
| LMArena Expert | 1147 | 1356 |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
| BoolQ | 85.7% | — |
| MMLU | 72.1% | — |

## Multilingual

- Gemma 2 9B: 36.8 (#233)
- gpt-oss-120b: 48.2 (#142)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1188 | 1350 |
| LMArena Chinese | 1185 | 1384 |
| LMArena French | 1189 | 1370 |
| LMArena German | 1186 | 1355 |
| LMArena Japanese | 1144 | 1332 |
| LMArena Korean | 1137 | 1283 |
| LMArena Russian | 1200 | 1343 |
| LMArena Spanish | 1200 | 1388 |

## Instruction Following

- Gemma 2 9B: 57.8 (#264)
- gpt-oss-120b: 69.5 (#168)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1178 | 1318 |
| LiveBench Instruction Following | 52.6% | — |
| IFEval | — | 83.6% |

## Long Context

- Gemma 2 9B: 36.3 (#228)
- gpt-oss-120b: 31.4 (#273)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1197 | 1319 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Gemma 2 9B: 32.3 (#276)
- gpt-oss-120b: 46.7 (#213)

| Benchmark | Gemma 2 9B | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1207 | 1366 |
| LMArena Creative Writing | 1206 | 1274 |
| EQ-Bench Creative Writing | 841 | 961 |
| LMArena Multi-Turn | 1193 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| WildBench | — | 84.5% |
| LiveBench Language | 25.5% | — |

## FAQ

### Is Gemma 2 9B better than gpt-oss-120b?

gpt-oss-120b is the stronger model overall, scoring 36.0 to 25.7 on the Noometry Index.

### Is Gemma 2 9B or gpt-oss-120b better for coding?

gpt-oss-120b scores higher on coding benchmarks: 33.2 versus 29.0 in the Noometry coding category.

### How many benchmarks do Gemma 2 9B and gpt-oss-120b share?

21 benchmarks have published results for both models. Gemma 2 9B has 35 scored results on Noometry and gpt-oss-120b has 48.