# gpt-oss-120b vs Qwen3-4B

> gpt-oss-120b is the stronger model overall, scoring 36.3 to 31.9 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-oss-120b-vs-qwen3-4b
- Last updated: 2026-10-12
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. gpt-oss-120b scores higher in 3 categories and Qwen3-4B in 1 category; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 29.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for gpt-oss-120b and 52.2% for Qwen3-4B.

## Snapshot

| | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 31.9 |
| Rank | 217 | 264 |
| Context | 131K | — |
| Input $/M | $0.037 | — |
| Output $/M | $0.17 | — |
| Weights | Open | Open |

## Coding

- gpt-oss-120b: 33.5 (#256)
- Qwen3-4B: —

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| 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

- gpt-oss-120b: 12.2 (#153)
- Qwen3-4B: 27.6 (#100)

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| Berkeley Function Calling Leaderboard | — | 35.7% |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |

## Reasoning

- gpt-oss-120b: 20.0 (#245)
- Qwen3-4B: 19.2 (#268)

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| Chess Puzzles | 20% | 4% |
| 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: 52.5 (#50)
- Qwen3-4B: 29.7 (#240)

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 52.2% |
| MathArena Final-Answer Competitions | — | 38.5% |
| Omni-MATH | 68.8% | — |
| LMArena Math | 1389 | — |

## Knowledge

- gpt-oss-120b: 42.4 (#96)
- Qwen3-4B: 33.0 (#208)

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| GPQA Diamond | 75.8% | 52.3% |
| Vectara Hallucination Rate | 14.2% | 5.7% |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| GPQA (HELM) | 68.4% | — |
| LMArena Expert | 1356 | — |

## Multilingual

- gpt-oss-120b: 48.0 (#147)
- Qwen3-4B: —

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| 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

- gpt-oss-120b: 69.3 (#173)
- Qwen3-4B: —

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| IFEval | 83.6% | — |
| LMArena Instruction Following | 1318 | — |

## Long Context

- gpt-oss-120b: 31.4 (#278)
- Qwen3-4B: —

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1319 | — |

## Writing & Preference

- gpt-oss-120b: 46.5 (#217)
- Qwen3-4B: —

| Benchmark | gpt-oss-120b | Qwen3-4B |
|---|---|---|
| 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 | — |

## FAQ

### Is gpt-oss-120b better than Qwen3-4B?

gpt-oss-120b is the stronger model overall, scoring 36.3 to 31.9 on the Noometry Index.

### How many benchmarks do gpt-oss-120b and Qwen3-4B share?

4 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Qwen3-4B has 6.