# 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.

- Canonical page: https://noometry.com/compare/gemma-3n-e4b-it-vs-gpt-oss-120b
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- 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.

## Snapshot

| | Gemma 3n E4b IT | gpt-oss-120b |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 36.7 | 36.0 |
| Rank | 203 | 210 |
| Context | 33K | 131K |
| Input $/M | $0.06 | $0.037 |
| Output $/M | $0.12 | $0.17 |
| Weights | Open | Open |

## Coding

- 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

- 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

- 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

- 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

- 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

- 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

- 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: 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: 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% |

## FAQ

### 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.