Model comparison
gpt-oss-20b vs Mistral
gpt-oss-20b is the stronger model overall, scoring 32.5 to 29.9 on the Noometry Index.
Last verified . 21 shared benchmarks.
Mistral AISummary
- They share 21 benchmarks with published results for both. gpt-oss-20b scores higher in 6 categories and Mistral in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where gpt-oss-20b leads 34.6 to 16.6.
- The biggest single-benchmark swing is Omni-MATH: 56.5% for gpt-oss-20b and 7.2% for Mistral.
- gpt-oss-20b has downloadable open weights; the other is API-only.
Side by side
| gpt-oss-20b | Mistral | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 32.5 | 29.9 |
| Released | 2025-08-05 | — |
| Weights | Open | Proprietary |
| Context window | 131K | — |
| Max output | 16K | — |
| Input $ / M tokens | $0.018 | — |
| Output $ / M tokens | $0.09 | — |
| Results tracked | 34 | 22 |
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Category by category
Coding gpt-oss-20b leads
gpt-oss-20b: 37.6 (#192), Mistral: 33.8 (#250)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| LMArena Coding | 1306 | 1162 |
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Mistral: —
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Mistral leads
gpt-oss-20b: 19.3 (#261), Mistral: 22.2 (#200)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1274 | 1149 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |
Math gpt-oss-20b leads
gpt-oss-20b: 39.4 (#103), Mistral: 22.3 (#278)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| Omni-MATH | 56.5% | 7.2% |
| LMArena Math | 1317 | 1180 |
| OTIS Mock AIME 2024-2025 | 65.3% | — |
Knowledge gpt-oss-20b leads
gpt-oss-20b: 34.6 (#195), Mistral: 16.6 (#288)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| MMLU-Pro | 74% | 27.7% |
| GPQA (HELM) | 59.4% | 30.3% |
| LMArena Expert | 1258 | 1125 |
| GPQA Diamond | 60.8% | — |
Multilingual gpt-oss-20b leads
gpt-oss-20b: 42.2 (#197), Mistral: 32.8 (#254)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| LMArena Non-English | 1268 | 1129 |
| LMArena Chinese | 1314 | 1109 |
| LMArena German | 1255 | 1155 |
| LMArena Japanese | 1244 | 1013 |
| LMArena Korean | 1236 | 1032 |
| LMArena Russian | 1278 | 1168 |
| LMArena Spanish | 1267 | 1143 |
| LMArena French | — | 1180 |
Instruction Following gpt-oss-20b leads
gpt-oss-20b: 61.8 (#240), Mistral: 52.6 (#288)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| IFEval | 73.2% | 56.8% |
| LMArena Instruction Following | 1236 | 1152 |
Long Context gpt-oss-20b leads
gpt-oss-20b: 37.9 (#209), Mistral: 35.0 (#245)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| LMArena Longer Query | 1250 | 1153 |
Writing & Preference Mistral leads
gpt-oss-20b: 35.5 (#265), Mistral: 37.0 (#260)
| Benchmark | gpt-oss-20b | Mistral |
|---|---|---|
| LMArena Text | 1287 | 1165 |
| LMArena Creative Writing | 1201 | 1158 |
| WildBench | 73.7% | 66% |
| LMArena Multi-Turn | 1268 | 1147 |
| EQ-Bench Creative Writing | 666 | — |
Frequently asked questions
Is gpt-oss-20b better than Mistral?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 29.9 on the Noometry Index.
Is gpt-oss-20b or Mistral better for coding?
gpt-oss-20b scores higher on coding benchmarks: 37.6 versus 33.8 in the Noometry coding category.
How many benchmarks do gpt-oss-20b and Mistral share?
21 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Mistral has 22.