Model comparison
Gemma 3 1B vs gpt-oss-20b
gpt-oss-20b is the stronger model overall, scoring 32.5 to 21.1 on the Noometry Index.
Last verified . 3 shared benchmarks.
GoogleSummary
- They share 3 benchmarks with published results for both. Gemma 3 1B scores higher in 1 category and gpt-oss-20b in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-20b leads 39.4 to 10.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemma 3 1B and 65.3% for gpt-oss-20b.
Side by side
| Gemma 3 1B | gpt-oss-20b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 21.1 | 32.5 |
| Released | 2025-03-12 | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 16K |
| Input $ / M tokens | — | $0.018 |
| Output $ / M tokens | — | $0.09 |
| Results tracked | 4 | 34 |
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Category by category
Coding Not comparable
Gemma 3 1B: —, gpt-oss-20b: 37.6 (#192)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| SciCode | — | 34.4% |
| WeirdML | — | 40.9% |
| LMArena Coding | — | 1306 |
| ALE-Bench | — | 566.05 |
Agentic & Tool Use Gemma 3 1B leads
Gemma 3 1B: 13.7 (#152), gpt-oss-20b: 9.3 (#154)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| Terminal-Bench | — | 3.4% |
| Berkeley Function Calling Leaderboard | 7.2% | — |
Reasoning Too close to call
Gemma 3 1B: 19.2 (#264), gpt-oss-20b: 19.3 (#261)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| Chess Puzzles | 0% | 4% |
| Kagi LLM Benchmark | — | 53.2% |
| CritPt | — | 1.4% |
| LMArena Hard Prompts | — | 1274 |
| DTBench | — | 68% |
| LMCA | — | 14.5% |
| Epoch Capabilities Index | — | 137.82 |
Math gpt-oss-20b leads
Gemma 3 1B: 10.2 (#316), gpt-oss-20b: 39.4 (#103)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 65.3% |
| Omni-MATH | — | 56.5% |
| LMArena Math | — | 1317 |
Knowledge gpt-oss-20b leads
Gemma 3 1B: 7.0 (#314), gpt-oss-20b: 34.6 (#195)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| GPQA Diamond | 19.9% | 60.8% |
| MMLU-Pro | — | 74% |
| GPQA (HELM) | — | 59.4% |
| LMArena Expert | — | 1258 |
Multilingual Not comparable
Gemma 3 1B: —, gpt-oss-20b: 42.2 (#197)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| LMArena Non-English | — | 1268 |
| LMArena Chinese | — | 1314 |
| LMArena German | — | 1255 |
| LMArena Japanese | — | 1244 |
| LMArena Korean | — | 1236 |
| LMArena Russian | — | 1278 |
| LMArena Spanish | — | 1267 |
Instruction Following Not comparable
Gemma 3 1B: —, gpt-oss-20b: 61.8 (#240)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| IFEval | — | 73.2% |
| LMArena Instruction Following | — | 1236 |
Long Context Not comparable
Gemma 3 1B: —, gpt-oss-20b: 37.9 (#209)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| LMArena Longer Query | — | 1250 |
Writing & Preference Not comparable
Gemma 3 1B: —, gpt-oss-20b: 35.5 (#265)
| Benchmark | Gemma 3 1B | gpt-oss-20b |
|---|---|---|
| LMArena Text | — | 1287 |
| LMArena Creative Writing | — | 1201 |
| EQ-Bench Creative Writing | — | 666 |
| WildBench | — | 73.7% |
| LMArena Multi-Turn | — | 1268 |
Frequently asked questions
Is Gemma 3 1B better than gpt-oss-20b?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 21.1 on the Noometry Index.
How many benchmarks do Gemma 3 1B and gpt-oss-20b share?
3 benchmarks have published results for both models. Gemma 3 1B has 4 scored results on Noometry and gpt-oss-20b has 34.