Model comparison
Gemma 3n E4b IT vs gpt-oss-120b
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 36.3 on the Noometry Index.
Last verified . 18 shared benchmarks.
GoogleSummary
- They share 18 benchmarks with published results for both. Gemma 3n E4b IT scores higher in 3 categories and gpt-oss-120b in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 35.1.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 58.6% for gpt-oss-120b.
Side by side
| Gemma 3n E4b IT | gpt-oss-120b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 37.3 | 36.3 |
| Released | — | 2025-08-05 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 41K |
| Input $ / M tokens | — | $0.037 |
| Output $ / M tokens | — | $0.17 |
| Results tracked | 18 | 48 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 37.0 (#198), gpt-oss-120b: 33.5 (#256)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1268 | 1380 |
| SWE-bench Verified (bash only) | — | 26% |
| Aider Polyglot | — | 41.8% |
| SciCode | — | 36% |
| WeirdML | — | 48.2% |
| ALE-Bench | — | 575.62 |
| AlgoTune | — | 1.41 |
Agentic & Tool Use Not comparable
Gemma 3n E4b IT: —, gpt-oss-120b: 12.2 (#153)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |
Reasoning Too close to call
Gemma 3n E4b IT: 19.9 (#247), gpt-oss-120b: 20.0 (#245)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| Kagi LLM Benchmark | 31.5% | 58.6% |
| LMArena Hard Prompts | 1284 | 1364 |
| SimpleBench | — | 22.1% |
| CritPt | — | 1.1% |
| Chess Puzzles | — | 20% |
| 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 3n E4b IT: 35.1 (#188), gpt-oss-120b: 52.5 (#50)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Math | 1251 | 1389 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| Omni-MATH | — | 68.8% |
Knowledge gpt-oss-120b leads
Gemma 3n E4b IT: 34.2 (#198), gpt-oss-120b: 42.4 (#96)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Expert | 1246 | 1356 |
| GPQA Diamond | — | 75.8% |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | — | 68.4% |
Multilingual gpt-oss-120b leads
Gemma 3n E4b IT: 43.4 (#183), gpt-oss-120b: 48.0 (#147)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1285 | 1351 |
| LMArena Chinese | 1309 | 1385 |
| LMArena French | 1330 | 1369 |
| LMArena German | 1311 | 1353 |
| LMArena Japanese | 1272 | 1331 |
| LMArena Korean | 1259 | 1282 |
| LMArena Russian | 1288 | 1343 |
| LMArena Spanish | 1305 | 1389 |
Instruction Following gpt-oss-120b leads
Gemma 3n E4b IT: 66.1 (#210), gpt-oss-120b: 69.3 (#173)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1255 | 1318 |
| IFEval | — | 83.6% |
Long Context Gemma 3n E4b IT leads
Gemma 3n E4b IT: 38.7 (#191), gpt-oss-120b: 31.4 (#278)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1276 | 1319 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.1 (#186), gpt-oss-120b: 46.5 (#217)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1306 | 1365 |
| LMArena Creative Writing | 1287 | 1275 |
| LMArena Multi-Turn | 1276 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| EQ-Bench Creative Writing | — | 961 |
| WildBench | — | 84.5% |
Frequently asked questions
Is Gemma 3n E4b IT better than gpt-oss-120b?
Gemma 3n E4b IT is the stronger model overall, scoring 37.3 to 36.3 on the Noometry Index.
Is Gemma 3n E4b IT or gpt-oss-120b better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 37.0 versus 33.5 in the Noometry coding category.
How many benchmarks do Gemma 3n E4b IT and gpt-oss-120b share?
18 benchmarks have published results for both models. Gemma 3n E4b IT has 18 scored results on Noometry and gpt-oss-120b has 48.