Model comparison
Gemma 3 1B vs gpt-oss-120b
gpt-oss-120b is the stronger model overall, scoring 36.3 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-120b in 3 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 10.2.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemma 3 1B and 88.9% for gpt-oss-120b.
Side by side
| Gemma 3 1B | gpt-oss-120b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 21.1 | 36.3 |
| Released | 2025-03-12 | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 41K |
| Input $ / M tokens | — | $0.037 |
| Output $ / M tokens | — | $0.17 |
| Results tracked | 4 | 48 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Gemma 3 1B: —, gpt-oss-120b: 33.5 (#256)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| LMArena Coding | — | 1380 |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
Agentic & Tool Use Gemma 3 1B leads
Gemma 3 1B: 13.7 (#152), gpt-oss-120b: 12.2 (#153)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| Berkeley Function Calling Leaderboard | 7.2% | — |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |
Reasoning Too close to call
Gemma 3 1B: 19.2 (#264), gpt-oss-120b: 20.0 (#245)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| Chess Puzzles | 0% | 20% |
| SimpleBench | — | 22.1% |
| Kagi LLM Benchmark | — | 58.6% |
| CritPt | — | 1.1% |
| LMArena Hard Prompts | — | 1364 |
| Mystery Game Puzzles | — | 2% |
| DTBench | — | 76.3% |
| LMCA | — | 22.1% |
| Surface Evolver Bench | — | 25% |
| Epoch Capabilities Index | — | 139.93 |
Math gpt-oss-120b leads
Gemma 3 1B: 10.2 (#316), gpt-oss-120b: 52.5 (#50)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | 88.9% |
| Omni-MATH | — | 68.8% |
| LMArena Math | — | 1389 |
Knowledge gpt-oss-120b leads
Gemma 3 1B: 7.0 (#314), gpt-oss-120b: 42.4 (#96)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| GPQA Diamond | 19.9% | 75.8% |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
| LMArena Expert | — | 1356 |
Multilingual Not comparable
Gemma 3 1B: —, gpt-oss-120b: 48.0 (#147)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | — | 1351 |
| LMArena Chinese | — | 1385 |
| LMArena French | — | 1369 |
| LMArena German | — | 1353 |
| LMArena Japanese | — | 1331 |
| LMArena Korean | — | 1282 |
| LMArena Russian | — | 1343 |
| LMArena Spanish | — | 1389 |
Instruction Following Not comparable
Gemma 3 1B: —, gpt-oss-120b: 69.3 (#173)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| IFEval | — | 83.6% |
| LMArena Instruction Following | — | 1318 |
Long Context Not comparable
Gemma 3 1B: —, gpt-oss-120b: 31.4 (#278)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| Fiction.LiveBench | — | 44.4% |
| LMArena Longer Query | — | 1319 |
Writing & Preference Not comparable
Gemma 3 1B: —, gpt-oss-120b: 46.5 (#217)
| Benchmark | Gemma 3 1B | gpt-oss-120b |
|---|---|---|
| LMArena Text | — | 1365 |
| LMArena Creative Writing | — | 1275 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |
| LMArena Multi-Turn | — | 1340 |
Frequently asked questions
Is Gemma 3 1B better than gpt-oss-120b?
gpt-oss-120b is the stronger model overall, scoring 36.3 to 21.1 on the Noometry Index.
How many benchmarks do Gemma 3 1B and gpt-oss-120b share?
3 benchmarks have published results for both models. Gemma 3 1B has 4 scored results on Noometry and gpt-oss-120b has 48.