# Gemma 3 4B vs gpt-oss-120b

> gpt-oss-120b is the stronger model overall, scoring 36.0 to 27.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-gpt-oss-120b
- Last updated: 2026-10-10
- Shared benchmarks: 21

## Summary

- They share 21 benchmarks with published results for both. Gemma 3 4B scores higher in 3 categories and gpt-oss-120b in 6 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 50.6 to 15.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.5% for Gemma 3 4B and 88.9% for gpt-oss-120b.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.037 / $0.17 for gpt-oss-120b.

## Snapshot

| | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 27.9 | 36.0 |
| Rank | 320 | 210 |
| Context | 131K | 131K |
| Input $/M | $0.04 | $0.037 |
| Output $/M | $0.08 | $0.17 |
| Weights | Open | Open |

## Coding

- Gemma 3 4B: 35.3 (#214)
- gpt-oss-120b: 33.2 (#251)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| LMArena Coding | 1230 | 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 3 4B: 20.7 (#134)
- gpt-oss-120b: 12.1 (#145)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| Terminal-Bench | — | 18.7% |
| APEX-Agents | — | 4.4% |
| Berkeley Function Calling Leaderboard | 19.6% | — |
| METR Time Horizons | — | 56.6% |
| Vending-Bench 2 | — | -21.53 |

## Reasoning

- Gemma 3 4B: 12.7 (#330)
- gpt-oss-120b: 19.5 (#236)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| Kagi LLM Benchmark | 25.2% | 58.6% |
| Chess Puzzles | 0% | 20% |
| LMArena Hard Prompts | 1253 | 1364 |
| DTBench | 50.9% | 76.3% |
| LMCA | 2.8% | 22.1% |
| Epoch Capabilities Index | 116.02 | 139.94 |
| SimpleBench | — | 22.1% |
| CritPt | — | 1.1% |
| Mystery Game Puzzles | — | 2% |
| Surface Evolver Bench | — | 25% |

## Math

- Gemma 3 4B: 15.8 (#286)
- gpt-oss-120b: 50.6 (#43)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 88.9% |
| LMArena Math | 1239 | 1388 |
| Omni-MATH | — | 68.8% |

## Knowledge

- Gemma 3 4B: 11.8 (#294)
- gpt-oss-120b: 42.3 (#89)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| GPQA Diamond | 23.2% | 75.8% |
| Vectara Hallucination Rate | 6.4% | 14.2% |
| LMArena Expert | 1223 | 1356 |
| MMLU-Pro | — | 79.5% |
| Confabulations | — | 15.7% |
| GPQA (HELM) | — | 68.4% |

## Multilingual

- Gemma 3 4B: 42.7 (#189)
- gpt-oss-120b: 48.2 (#142)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| LMArena Non-English | 1273 | 1350 |
| LMArena German | 1281 | 1355 |
| LMArena Russian | 1294 | 1343 |
| LMArena Chinese | — | 1384 |
| LMArena French | — | 1370 |
| LMArena Japanese | — | 1332 |
| LMArena Korean | — | 1283 |
| LMArena Spanish | — | 1388 |

## Instruction Following

- Gemma 3 4B: 65.4 (#219)
- gpt-oss-120b: 69.5 (#168)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| LMArena Instruction Following | 1239 | 1318 |
| IFEval | — | 83.6% |

## Long Context

- Gemma 3 4B: 38.6 (#189)
- gpt-oss-120b: 31.4 (#273)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| LMArena Longer Query | 1274 | 1319 |
| Fiction.LiveBench | — | 44.4% |

## Writing & Preference

- Gemma 3 4B: 42.2 (#234)
- gpt-oss-120b: 46.7 (#213)

| Benchmark | Gemma 3 4B | gpt-oss-120b |
|---|---|---|
| LMArena Text | 1291 | 1366 |
| LMArena Creative Writing | 1270 | 1274 |
| EQ-Bench Creative Writing | 1068 | 961 |
| LMArena Multi-Turn | 1255 | 1340 |
| Short-Story Creative Writing | — | 77.1% |
| WildBench | — | 84.5% |

## FAQ

### Is Gemma 3 4B better than gpt-oss-120b?

gpt-oss-120b is the stronger model overall, scoring 36.0 to 27.9 on the Noometry Index.

### Which is cheaper, Gemma 3 4B or gpt-oss-120b?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; gpt-oss-120b lists at $0.037 and $0.17.

### Is Gemma 3 4B or gpt-oss-120b better for coding?

Gemma 3 4B scores higher on coding benchmarks: 35.3 versus 33.2 in the Noometry coding category.

### Which has the bigger context window?

Both accept 131K tokens.

### How many benchmarks do Gemma 3 4B and gpt-oss-120b share?

21 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and gpt-oss-120b has 48.