# gpt-oss-20b vs Yi-Large

> gpt-oss-20b has enough public results to be ranked (#255); Yi-Large does not yet, so treat this comparison as directional.

- Canonical page: https://noometry.com/compare/gpt-oss-20b-vs-yi-large
- Last updated: 2026-10-11
- Shared benchmarks: 0

## Summary

- gpt-oss-20b has downloadable open weights; the other is API-only.

## Snapshot

| | gpt-oss-20b | Yi-Large |
|---|---|---|
| Provider | OpenAI | 01.AI |
| Noometry Index | 32.5 | 38.1 |
| Rank | 255 | — |
| Context | 131K | — |
| Input $/M | $0.018 | — |
| Output $/M | $0.09 | — |
| Weights | Open | Proprietary |

## Coding

- gpt-oss-20b: 37.6 (#192)
- Yi-Large: 36.7 (#203)

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| BigCodeBench Instruct | — | 37.7% |
| LMArena Coding | 1306 | — |
| BigCodeBench Complete | — | 47.2% |
| ALE-Bench | 566.05 | — |

## Agentic & Tool Use

- gpt-oss-20b: 9.3 (#154)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| Terminal-Bench | 3.4% | — |

## Reasoning

- gpt-oss-20b: 19.3 (#261)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1274 | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |

## Math

- gpt-oss-20b: 39.4 (#103)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |

## Knowledge

- gpt-oss-20b: 34.6 (#195)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
| MMLU | — | 79.3% |

## Multilingual

- gpt-oss-20b: 42.2 (#197)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| LMArena Non-English | 1268 | — |
| LMArena Chinese | 1314 | — |
| LMArena German | 1255 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1236 | — |
| LMArena Russian | 1278 | — |
| LMArena Spanish | 1267 | — |

## Instruction Following

- gpt-oss-20b: 61.8 (#240)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |

## Long Context

- gpt-oss-20b: 37.9 (#209)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| LMArena Longer Query | 1250 | — |

## Writing & Preference

- gpt-oss-20b: 35.5 (#265)
- Yi-Large: —

| Benchmark | gpt-oss-20b | Yi-Large |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1201 | — |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |

## FAQ

### Is gpt-oss-20b better than Yi-Large?

gpt-oss-20b has enough public results to be ranked (#255); Yi-Large does not yet, so treat this comparison as directional.

### Is gpt-oss-20b or Yi-Large better for coding?

They score almost the same on coding (37.6 vs 36.7); test both on your own repository before choosing.

### How many benchmarks do gpt-oss-20b and Yi-Large share?

0 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Yi-Large has 3.