Model comparison
Gemma 1.1 2b IT vs gpt-oss-20b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 29.3 on the Noometry Index.
Last verified . 14 shared benchmarks.
GoogleSummary
- They share 14 benchmarks with published results for both. Gemma 1.1 2b IT scores higher in 0 categories and gpt-oss-20b in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where gpt-oss-20b leads 42.2 to 24.6.
Side by side
| Gemma 1.1 2b IT | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 29.3 | 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 | 16 | 34 |
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Category by category
Coding gpt-oss-20b leads
Gemma 1.1 2b IT: 30.1 (#299), gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Coding | 1034 | 1306 |
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| ALE-Bench | — | 566.05 |
| HumanEval+ | 17.7% | — |
| MBPP+ | 23.3% | — |
Agentic & Tool Use Not comparable
Gemma 1.1 2b IT: —, gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
Reasoning Too close to call
Gemma 1.1 2b IT: 19.1 (#270), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Hard Prompts | 1005 | 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 2b IT: 30.8 (#232), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Math | 1047 | 1317 |
| OTIS Mock AIME 2024-2025 | — | 65.3% |
| Omni-MATH | — | 56.5% |
Knowledge gpt-oss-20b leads
Gemma 1.1 2b IT: 26.5 (#258), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Expert | 970 | 1258 |
| GPQA Diamond | — | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
Multilingual gpt-oss-20b leads
Gemma 1.1 2b IT: 24.6 (#289), gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | 988 | 1268 |
| LMArena Chinese | 1012 | 1314 |
| LMArena German | 944 | 1255 |
| LMArena Korean | 899 | 1236 |
| LMArena Russian | 990 | 1278 |
| LMArena Japanese | — | 1244 |
| LMArena Spanish | — | 1267 |
Instruction Following gpt-oss-20b leads
Gemma 1.1 2b IT: 49.9 (#299), gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Instruction Following | 992 | 1236 |
| IFEval | — | 73.2% |
Long Context gpt-oss-20b leads
Gemma 1.1 2b IT: 30.6 (#286), gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | 1003 | 1250 |
Writing & Preference gpt-oss-20b leads
Gemma 1.1 2b IT: 25.1 (#306), gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemma 1.1 2b IT | gpt-oss-20b |
|---|---|---|
| LMArena Text | 1022 | 1287 |
| LMArena Creative Writing | 998 | 1201 |
| LMArena Multi-Turn | 959 | 1268 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
Frequently asked questions
Is Gemma 1.1 2b IT better than gpt-oss-20b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 29.3 on the Noometry Index.
Is Gemma 1.1 2b IT or gpt-oss-20b better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 30.1 in the Noometry coding category.
How many benchmarks do Gemma 1.1 2b IT and gpt-oss-20b share?
14 benchmarks have published results for both models. Gemma 1.1 2b IT has 16 scored results on Noometry and gpt-oss-20b has 34.