Model comparison
gpt-oss-120b vs Qwen Plus
gpt-oss-120b and Qwen Plus score almost the same on the Noometry Index (36.3 vs 37.1), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Alibaba (Qwen)Summary
- They share 18 benchmarks with published results for both. gpt-oss-120b scores higher in 4 categories and Qwen Plus in 4 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where gpt-oss-120b leads 52.5 to 23.3.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for gpt-oss-120b and 17.8% for Qwen Plus.
- gpt-oss-120b is cheaper at $0.037 / $0.17 per million input/output tokens, against $0.40 / $1.20 for Qwen Plus.
- Qwen Plus accepts more context: 1M tokens versus 131K.
- gpt-oss-120b has downloadable open weights; the other is API-only.
Side by side
| gpt-oss-120b | Qwen Plus | |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 36.3 | 37.1 |
| Released | 2025-08-05 | 2024-01-25 |
| Weights | Open | Proprietary |
| Context window | 131K | 1M |
| Max output | 41K | 33K |
| Input $ / M tokens | $0.037 | $0.40 |
| Output $ / M tokens | $0.17 | $1.20 |
| Results tracked | 48 | 20 |
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Category by category
Coding Qwen Plus leads
gpt-oss-120b: 33.5 (#256), Qwen Plus: 38.9 (#167)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| LMArena Coding | 1380 | 1328 |
| 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
gpt-oss-120b: 12.2 (#153), Qwen Plus: —
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| Terminal-Bench | 18.7% | — |
| APEX-Agents | 4.4% | — |
| METR Time Horizons | 56.6% | — |
| Vending-Bench 2 | -21.53 | — |
Reasoning Qwen Plus leads
gpt-oss-120b: 20.0 (#245), Qwen Plus: 28.4 (#107)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| Kagi LLM Benchmark | 58.6% | 63.3% |
| LMArena Hard Prompts | 1364 | 1317 |
| DTBench | 76.3% | 81.1% |
| LMCA | 22.1% | 24% |
| SimpleBench | 22.1% | — |
| CritPt | 1.1% | — |
| Chess Puzzles | 20% | — |
| Mystery Game Puzzles | 2% | — |
| Surface Evolver Bench | 25% | — |
| Epoch Capabilities Index | 139.93 | — |
Math gpt-oss-120b leads
gpt-oss-120b: 52.5 (#50), Qwen Plus: 23.3 (#271)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 17.8% |
| LMArena Math | 1389 | 1326 |
| Omni-MATH | 68.8% | — |
| MATH Level 5 | — | 65.3% |
| FrontierMath (Feb 2025 set) | — | 1.7% |
Knowledge gpt-oss-120b leads
gpt-oss-120b: 42.4 (#96), Qwen Plus: 27.4 (#251)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| GPQA Diamond | 75.8% | 48.1% |
| LMArena Expert | 1356 | 1328 |
| MMLU-Pro | 79.5% | — |
| Confabulations | 15.7% | — |
| Vectara Hallucination Rate | 14.2% | — |
| GPQA (HELM) | 68.4% | — |
Multilingual gpt-oss-120b leads
gpt-oss-120b: 48.0 (#147), Qwen Plus: 45.1 (#175)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| LMArena Non-English | 1351 | 1310 |
| LMArena Chinese | 1385 | 1347 |
| LMArena Japanese | 1331 | 1251 |
| LMArena Russian | 1343 | 1323 |
| LMArena French | 1369 | — |
| LMArena German | 1353 | — |
| LMArena Korean | 1282 | — |
| LMArena Spanish | 1389 | — |
Instruction Following Too close to call
gpt-oss-120b: 69.3 (#173), Qwen Plus: 68.8 (#181)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| LMArena Instruction Following | 1318 | 1303 |
| IFEval | 83.6% | — |
Long Context Qwen Plus leads
gpt-oss-120b: 31.4 (#278), Qwen Plus: 40.3 (#158)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| LMArena Longer Query | 1319 | 1324 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Qwen Plus leads
gpt-oss-120b: 46.5 (#217), Qwen Plus: 52.2 (#176)
| Benchmark | gpt-oss-120b | Qwen Plus |
|---|---|---|
| LMArena Text | 1365 | 1326 |
| LMArena Creative Writing | 1275 | 1293 |
| LMArena Multi-Turn | 1340 | 1336 |
| Short-Story Creative Writing | 77.1% | — |
| EQ-Bench Creative Writing | 961 | — |
| WildBench | 84.5% | — |
Frequently asked questions
Is gpt-oss-120b better than Qwen Plus?
gpt-oss-120b and Qwen Plus score almost the same on the Noometry Index (36.3 vs 37.1), so choose on price, context window or the category you care about most.
Which is cheaper, gpt-oss-120b or Qwen Plus?
gpt-oss-120b is cheaper. It lists at $0.037 per million input tokens and $0.17 per million output tokens; Qwen Plus lists at $0.40 and $1.20.
Is gpt-oss-120b or Qwen Plus better for coding?
Qwen Plus scores higher on coding benchmarks: 38.9 versus 33.5 in the Noometry coding category.
Which has the bigger context window?
Qwen Plus does, with 1M tokens against 131K.
How many benchmarks do gpt-oss-120b and Qwen Plus share?
18 benchmarks have published results for both models. gpt-oss-120b has 48 scored results on Noometry and Qwen Plus has 20.