Model comparison
Gemma 3n E4b IT vs gpt-oss-120b
Gemma 3n E4b IT and gpt-oss-120b score almost the same on the Noometry Index (36.7 vs 36.0), so choose on price, context window or the category you care about most.
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 50.6 to 32.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 31.5% for Gemma 3n E4b IT and 58.6% for gpt-oss-120b.
- gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $0.06 / $0.12 for Gemma 3n E4b IT.
- gpt-oss-120b accepts more context: 131K tokens versus 33K.
Side by side
| Gemma 3n E4b IT | gpt-oss-120b | |
|---|---|---|
| Provider | OpenAI | |
| Noometry Index | 36.7 | 36.0 |
| Released | 2025-05-20 | 2025-08-05 |
| Weights | Open | Open |
| Context window | 33K | 131K |
| Max output | 33K | 41K |
| Input $ / M tokens | $0.06 | $0.037 |
| Output $ / M tokens | $0.12 | $0.17 |
| Results tracked | 18 | 48 |
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Category by category
Coding Gemma 3n E4b IT leads
Gemma 3n E4b IT: 36.4 (#193), gpt-oss-120b: 33.2 (#251)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1269 | 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: 12.1 (#145)
| 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: 19.2 (#239), gpt-oss-120b: 19.5 (#236)
| 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 | — | 139.94 |
Math gpt-oss-120b leads
Gemma 3n E4b IT: 32.5 (#186), gpt-oss-120b: 50.6 (#43)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Math | 1251 | 1388 |
| OTIS Mock AIME 2024-2025 | — | 88.9% |
| Omni-MATH | — | 68.8% |
Knowledge gpt-oss-120b leads
Gemma 3n E4b IT: 33.6 (#193), gpt-oss-120b: 42.3 (#89)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Expert | 1245 | 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: 43.5 (#179), gpt-oss-120b: 48.2 (#142)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1285 | 1350 |
| LMArena Chinese | 1310 | 1384 |
| LMArena French | 1330 | 1370 |
| LMArena German | 1312 | 1355 |
| LMArena Japanese | 1274 | 1332 |
| LMArena Korean | 1259 | 1283 |
| LMArena Russian | 1288 | 1343 |
| LMArena Spanish | 1305 | 1388 |
Instruction Following gpt-oss-120b leads
Gemma 3n E4b IT: 66.3 (#205), gpt-oss-120b: 69.5 (#168)
| 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: 38.8 (#185), gpt-oss-120b: 31.4 (#273)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1277 | 1319 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Gemma 3n E4b IT leads
Gemma 3n E4b IT: 50.3 (#181), gpt-oss-120b: 46.7 (#213)
| Benchmark | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1306 | 1366 |
| LMArena Creative Writing | 1287 | 1274 |
| 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 and gpt-oss-120b score almost the same on the Noometry Index (36.7 vs 36.0), so choose on price, context window or the category you care about most.
Which is cheaper, Gemma 3n E4b IT or gpt-oss-120b?
gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; Gemma 3n E4b IT lists at $0.06 and $0.12.
Is Gemma 3n E4b IT or gpt-oss-120b better for coding?
Gemma 3n E4b IT scores higher on coding benchmarks: 36.4 versus 33.2 in the Noometry coding category.
Which has the bigger context window?
gpt-oss-120b does, with 131K tokens against 33K.
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.