# gpt-oss-120b vs Qwen Max

> gpt-oss-120b is the stronger model overall, scoring 36.0 to 34.4 on the Noometry Index.

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

## Summary

- They share 21 benchmarks with published results for both. gpt-oss-120b scores higher in 5 categories and Qwen Max in 3 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 50.6 to 21.0.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for gpt-oss-120b and 16.1% for Qwen Max.
- gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- gpt-oss-120b accepts more context: 131K tokens versus 33K.
- gpt-oss-120b has downloadable open weights; the other is API-only.

## Snapshot

| | gpt-oss-120b | Qwen Max |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.0 | 34.4 |
| Rank | 210 | 226 |
| Context | 131K | 33K |
| Input $/M | $0.037 | $1.60 |
| Output $/M | $0.17 | $6.40 |
| Weights | Open | Proprietary |

## Coding

- gpt-oss-120b: 33.2 (#251)
- Qwen Max: 30.3 (#288)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| Aider Polyglot | 41.8% | 21.8% |
| LMArena Coding | 1380 | 1288 |
| SWE-bench Verified (bash only) | 26% | — |
| SciCode | 36% | — |
| WeirdML | 48.2% | — |
| ALE-Bench | 575.62 | — |
| AlgoTune | 1.41 | — |

## Agentic & Tool Use

- gpt-oss-120b: 12.1 (#145)
- Qwen Max: —

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |

## Reasoning

- gpt-oss-120b: 19.5 (#236)
- Qwen Max: 24.1 (#154)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1364 | 1270 |
| SimpleBench | 22.1% | — |
| Kagi LLM Benchmark | 58.6% | — |
| 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: 50.6 (#43)
- Qwen Max: 21.0 (#272)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 16.1% |
| LMArena Math | 1388 | 1275 |
| Omni-MATH | 68.8% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |

## Knowledge

- gpt-oss-120b: 42.3 (#89)
- Qwen Max: 30.3 (#222)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| GPQA Diamond | 75.8% | 56.1% |
| LMArena Expert | 1356 | 1248 |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |

## Multilingual

- gpt-oss-120b: 48.2 (#142)
- Qwen Max: 42.0 (#197)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| LMArena Non-English | 1350 | 1263 |
| LMArena Chinese | 1384 | 1254 |
| LMArena French | 1370 | 1329 |
| LMArena German | 1355 | 1254 |
| LMArena Japanese | 1332 | 1205 |
| LMArena Korean | 1283 | 1141 |
| LMArena Russian | 1343 | 1274 |
| LMArena Spanish | 1388 | 1290 |

## Instruction Following

- gpt-oss-120b: 69.5 (#168)
- Qwen Max: 66.7 (#203)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1318 | 1262 |
| IFEval | 83.6% | — |

## Long Context

- gpt-oss-120b: 31.4 (#273)
- Qwen Max: 39.4 (#175)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| Fiction.LiveBench | 44.4% | 66.7% |
| LMArena Longer Query | 1319 | 1289 |

## Writing & Preference

- gpt-oss-120b: 46.7 (#213)
- Qwen Max: 48.0 (#200)

| Benchmark | gpt-oss-120b | Qwen Max |
|---|---|---|
| LMArena Text | 1366 | 1282 |
| LMArena Creative Writing | 1274 | 1248 |
| LMArena Multi-Turn | 1340 | 1277 |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |

## FAQ

### Is gpt-oss-120b better than Qwen Max?

gpt-oss-120b is the stronger model overall, scoring 36.0 to 34.4 on the Noometry Index.

### Which is cheaper, gpt-oss-120b or Qwen Max?

gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; Qwen Max lists at $1.60 and $6.40.

### Is gpt-oss-120b or Qwen Max better for coding?

gpt-oss-120b scores higher on coding benchmarks: 33.2 versus 30.3 in the Noometry coding category.

### Which has the bigger context window?

gpt-oss-120b does, with 131K tokens against 33K.

### How many benchmarks do gpt-oss-120b and Qwen Max share?

21 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Qwen Max has 23.