Model comparison
Gemma 7B vs gpt-oss-20b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 30.0 on the Noometry Index.
Last verified . 13 shared benchmarks.
GoogleSummary
- They share 13 benchmarks with published results for both. Gemma 7B scores higher in 1 category and gpt-oss-20b in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where gpt-oss-20b leads 42.2 to 25.1.
Side by side
| Gemma 7B | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 30.0 | 32.5 |
| Released | 2024-02-21 | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.018 |
| Output $ / M tokens | — | $0.09 |
| Results tracked | 27 | 34 |
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Category by category
Coding gpt-oss-20b leads
Gemma 7B: 30.5 (#294), gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1048 | 1306 |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| ALE-Bench | — | 566.05 |
| HumanEval+ | 28.7% | — |
| MBPP+ | 43.4% | — |
Agentic & Tool Use Not comparable
Gemma 7B: —, gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning Too close to call
Gemma 7B: 19.9 (#249), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1042 | 1274 |
| Epoch Capabilities Index | 111.99 | 137.82 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| DTBench | — | 68% |
| LMCA | — | 14.5% |
| Adversarial NLI | 48.7% | — |
| BIG-Bench Hard | 55.1% | — |
| HellaSwag | 82.2% | — |
| PIQA | 81.2% | — |
| WinoGrande | 79% | — |
Math gpt-oss-20b leads
Gemma 7B: 31.2 (#228), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Math | 1066 | 1317 |
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
| GSM8K | 46.4% | — |
Knowledge gpt-oss-20b leads
Gemma 7B: 27.3 (#252), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Expert | 1001 | 1258 |
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
| ARC (AI2) Challenge | 78.3% | — |
| BoolQ | 83.2% | — |
| MMLU | 66.1% | — |
| OpenBookQA | 78.6% | — |
| TriviaQA | 72.3% | — |
Multilingual gpt-oss-20b leads
Gemma 7B: 25.1 (#287), gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 999 | 1268 |
| LMArena Chinese | 1035 | 1314 |
| LMArena Russian | 993 | 1278 |
| LMArena French | 1025 | — |
| LMArena German | — | 1255 |
| LMArena Japanese | — | 1244 |
| LMArena Korean | — | 1236 |
| LMArena Spanish | — | 1267 |
Instruction Following gpt-oss-20b leads
Gemma 7B: 51.5 (#295), gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1017 | 1236 |
| IFEval | — | 73.2% |
Long Context gpt-oss-20b leads
Gemma 7B: 31.1 (#282), gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1022 | 1250 |
Writing & Preference gpt-oss-20b leads
Gemma 7B: 27.1 (#302), gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemma 7B | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1056 | 1287 |
| LMArena Creative Writing | 1024 | 1201 |
| LMArena Multi-Turn | 963 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
Frequently asked questions
Is Gemma 7B better than gpt-oss-20b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 30.0 on the Noometry Index.
Is Gemma 7B or gpt-oss-20b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 30.5 in the Noometry coding category.
How many benchmarks do Gemma 7B and gpt-oss-20b share?
13 benchmarks have published results for both models. Gemma 7B has 27 scored results on Noometry and gpt-oss-20b has 34.