Model comparison
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.
Last verified . 21 shared benchmarks.
GoogleSummary
- 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.
Side by side
| Gemma 2 9B | gpt-oss-120b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 25.7 | 36.0 |
| Released | 2024-06-24 | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 41K |
| Input $ / M tokens | — | $0.037 |
| Output $ / M tokens | — | $0.17 |
| Results tracked | 35 | 48 |
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Category by category
Coding gpt-oss-120b leads
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 Not comparable
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 gpt-oss-120b leads
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 gpt-oss-120b leads
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 gpt-oss-120b leads
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 gpt-oss-120b leads
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 gpt-oss-120b leads
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 leads
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 gpt-oss-120b leads
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% | — |
Frequently asked questions
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.