# gpt-oss-20b vs Mistral Nemo

> gpt-oss-20b is the stronger model overall, scoring 32.5 to 26.4 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-oss-20b-vs-mistral-nemo
- Last updated: 2026-10-10
- Shared benchmarks: 4

## Summary

- They share 4 benchmarks with published results for both. gpt-oss-20b scores higher in 3 categories and Mistral Nemo in 2 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where gpt-oss-20b leads 34.6 to 12.3.
- The biggest single-benchmark swing is GPQA Diamond: 60.8% for gpt-oss-20b and 29.9% for Mistral Nemo.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.15 / $0.15 for Mistral Nemo.
- gpt-oss-20b accepts more context: 131K tokens versus 128K.

## Snapshot

| | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 32.5 | 26.4 |
| Rank | 255 | 337 |
| Context | 131K | 128K |
| Input $/M | $0.018 | $0.15 |
| Output $/M | $0.09 | $0.15 |
| Weights | Open | Open |

## Coding

- gpt-oss-20b: 37.6 (#192)
- Mistral Nemo: —

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| LMArena Coding | 1306 | — |
| ALE-Bench | 566.05 | — |

## Agentic & Tool Use

- gpt-oss-20b: 9.3 (#154)
- Mistral Nemo: 23.5 (#125)

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| Terminal-Bench | 3.4% | — |
| Berkeley Function Calling Leaderboard | — | 27.6% |
| BALROG | — | 17.6% |

## Reasoning

- gpt-oss-20b: 19.3 (#261)
- Mistral Nemo: 20.7 (#232)

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| DTBench | 68% | 48.6% |
| Epoch Capabilities Index | 137.82 | 118.68 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1274 | — |
| LMCA | 14.5% | — |
| PIQA | — | 83.5% |

## Math

- gpt-oss-20b: 39.4 (#103)
- Mistral Nemo: 25.5 (#268)

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |

## Knowledge

- gpt-oss-20b: 34.6 (#195)
- Mistral Nemo: 12.3 (#298)

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| GPQA Diamond | 60.8% | 29.9% |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
| BoolQ | — | 82.5% |

## Multilingual

- gpt-oss-20b: 42.2 (#197)
- Mistral Nemo: —

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| 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)
- Mistral Nemo: —

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |

## Long Context

- gpt-oss-20b: 37.9 (#209)
- Mistral Nemo: —

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1250 | — |

## Writing & Preference

- gpt-oss-20b: 35.5 (#265)
- Mistral Nemo: 28.5 (#296)

| Benchmark | gpt-oss-20b | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 666 | 881 |
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1201 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |

## FAQ

### Is gpt-oss-20b better than Mistral Nemo?

gpt-oss-20b is the stronger model overall, scoring 32.5 to 26.4 on the Noometry Index.

### Which is cheaper, gpt-oss-20b or Mistral Nemo?

gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Mistral Nemo lists at $0.15 and $0.15.

### Which has the bigger context window?

gpt-oss-20b does, with 131K tokens against 128K.

### How many benchmarks do gpt-oss-20b and Mistral Nemo share?

4 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Mistral Nemo has 10.