Model comparison
Gemma 1.1 7b IT vs gpt-oss-20b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.3 on the Noometry Index.
Last verified . 16 shared benchmarks.
GoogleSummary
- They share 16 benchmarks with published results for both. Gemma 1.1 7b IT scores higher in 1 category and gpt-oss-20b in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where gpt-oss-20b leads 42.2 to 28.1.
Side by side
| Gemma 1.1 7b IT | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 31.3 | 32.5 |
| Released | — | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.018 |
| Output $ / M tokens | — | $0.09 |
| Results tracked | 19 | 34 |
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Category by category
Coding gpt-oss-20b leads
Gemma 1.1 7b IT: 31.5 (#284), gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1084 | 1306 |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| ALE-Bench | — | 566.05 |
| HumanEval+ | 35.4% | — |
| MBPP+ | 45% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 7b IT: —, gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning Gemma 1.1 7b IT leads
Gemma 1.1 7b IT: 20.5 (#238), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1071 | 1274 |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| Chess Puzzles | — | 4% |
| DTBench | — | 68% |
| LMCA | — | 14.5% |
| Epoch Capabilities Index | — | 137.82 |
Math gpt-oss-20b leads
Gemma 1.1 7b IT: 32.0 (#220), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Math | 1107 | 1317 |
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
Knowledge gpt-oss-20b leads
Gemma 1.1 7b IT: 28.3 (#247), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Expert | 1039 | 1258 |
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
Multilingual gpt-oss-20b leads
Gemma 1.1 7b IT: 28.1 (#273), gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 1052 | 1268 |
| LMArena Chinese | 1061 | 1314 |
| LMArena German | 1054 | 1255 |
| LMArena Japanese | 971 | 1244 |
| LMArena Korean | 988 | 1236 |
| LMArena Russian | 1046 | 1278 |
| LMArena Spanish | 1049 | 1267 |
| LMArena French | 1065 | — |
Instruction Following gpt-oss-20b leads
Gemma 1.1 7b IT: 54.0 (#283), gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 1057 | 1236 |
| IFEval | — | 73.2% |
Long Context gpt-oss-20b leads
Gemma 1.1 7b IT: 32.1 (#272), gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1056 | 1250 |
Writing & Preference gpt-oss-20b leads
Gemma 1.1 7b IT: 30.4 (#288), gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemma 1.1 7b IT | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1094 | 1287 |
| LMArena Creative Writing | 1060 | 1201 |
| LMArena Multi-Turn | 1040 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
Frequently asked questions
Is Gemma 1.1 7b IT better than gpt-oss-20b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 31.3 on the Noometry Index.
Is Gemma 1.1 7b IT or gpt-oss-20b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 31.5 in the Noometry coding category.
How many benchmarks do Gemma 1.1 7b IT and gpt-oss-20b share?
16 benchmarks have published results for both models. Gemma 1.1 7b IT has 19 scored results on Noometry and gpt-oss-20b has 34.