# gpt-oss-20b vs Qwen3.7 Plus

> Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 32.1 on the Noometry Index. gpt-oss-20b costs 19× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gpt-oss-20b-vs-qwen3-7-plus
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. gpt-oss-20b scores higher in 1 category and Qwen3.7 Plus in 8 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Qwen3.7 Plus leads 64.5 to 35.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 65.3% for gpt-oss-20b and 93.3% for Qwen3.7 Plus.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.40 / $1.60 for Qwen3.7 Plus.
- Qwen3.7 Plus accepts more context: 1M tokens versus 131K.
- gpt-oss-20b has downloadable open weights; the other is API-only.

## Snapshot

| | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| Provider | OpenAI | Alibaba (Qwen) |
| Noometry Index | 32.1 | 45.0 |
| Rank | 249 | 66 |
| Context | 131K | 1M |
| Input $/M | $0.018 | $0.40 |
| Output $/M | $0.09 | $1.60 |
| Weights | Open | Proprietary |

## Coding

- gpt-oss-20b: 37.1 (#185)
- Qwen3.7 Plus: 36.1 (#200)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| SciCode | 34.4% | 45.5% |
| LMArena Coding | 1307 | 1473 |
| FrontierCode | — | 10.2% |
| WeirdML | 40.9% | — |
| ALE-Bench | 566.05 | — |

## Agentic & Tool Use

- gpt-oss-20b: 9.2 (#146)
- Qwen3.7 Plus: 21.2 (#130)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| Terminal-Bench | 3.4% | — |
| OSWorld 2.0 | — | 2.8% |

## Reasoning

- gpt-oss-20b: 18.8 (#251)
- Qwen3.7 Plus: 38.4 (#54)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| CritPt | 1.4% | 9.1% |
| Chess Puzzles | 4% | 24% |
| LMArena Hard Prompts | 1274 | 1460 |
| DTBench | 68% | 84% |
| LMCA | 14.5% | 37.6% |
| Epoch Capabilities Index | 137.81 | 147.39 |
| Kagi LLM Benchmark | 53.2% | — |
| NYT Connections (extended) | — | 74.8% |
| Mystery Game Puzzles | — | 17% |

## Math

- gpt-oss-20b: 37.6 (#93)
- Qwen3.7 Plus: 49.3 (#47)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | 93.3% |
| LMArena Math | 1317 | 1467 |
| FrontierMath (Tiers 1-3) | — | 34.4% |
| Omni-MATH | 56.5% | — |

## Knowledge

- gpt-oss-20b: 34.6 (#186)
- Qwen3.7 Plus: 54.9 (#46)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| GPQA Diamond | 60.8% | 87.9% |
| LMArena Expert | 1258 | 1467 |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |

## Multimodal

- gpt-oss-20b: —
- Qwen3.7 Plus: 41.2 (#30)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| LMArena Vision | — | 1281 |
| LMArena Document | — | 1444 |

## Multilingual

- gpt-oss-20b: 42.4 (#192)
- Qwen3.7 Plus: 55.0 (#36)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| LMArena Non-English | 1269 | 1445 |
| LMArena Chinese | 1311 | 1510 |
| LMArena German | 1249 | 1471 |
| LMArena Japanese | 1245 | 1411 |
| LMArena Korean | 1239 | 1416 |
| LMArena Russian | 1279 | 1457 |
| LMArena Spanish | 1267 | 1453 |
| LMArena French | — | 1471 |

## Instruction Following

- gpt-oss-20b: 62.0 (#235)
- Qwen3.7 Plus: 75.9 (#49)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| LMArena Instruction Following | 1236 | 1439 |
| IFEval | 73.2% | — |

## Long Context

- gpt-oss-20b: 37.9 (#203)
- Qwen3.7 Plus: 44.5 (#61)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| LMArena Longer Query | 1251 | 1454 |

## Writing & Preference

- gpt-oss-20b: 35.8 (#260)
- Qwen3.7 Plus: 64.5 (#54)

| Benchmark | gpt-oss-20b | Qwen3.7 Plus |
|---|---|---|
| LMArena Text | 1288 | 1454 |
| LMArena Creative Writing | 1201 | 1439 |
| LMArena Multi-Turn | 1268 | 1459 |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |

## FAQ

### Is gpt-oss-20b better than Qwen3.7 Plus?

Qwen3.7 Plus is the stronger model overall, scoring 45.0 to 32.1 on the Noometry Index. gpt-oss-20b costs 19× less per token, which makes it the better buy when Qwen3.7 Plus's lead doesn't matter for your workload.

### Which is cheaper, gpt-oss-20b or Qwen3.7 Plus?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Qwen3.7 Plus lists at $0.40 and $1.60.

### Is gpt-oss-20b or Qwen3.7 Plus better for coding?

gpt-oss-20b scores higher on coding benchmarks: 37.1 versus 36.1 in the Noometry coding category.

### Which has the bigger context window?

Qwen3.7 Plus does, with 1M tokens against 131K.

### How many benchmarks do gpt-oss-20b and Qwen3.7 Plus share?

24 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Qwen3.7 Plus has 32.