Model comparison
gpt-oss-20b vs Ministral 3B
gpt-oss-20b is the stronger model overall, scoring 32.5 to 26.2 on the Noometry Index.
Last verified . 4 shared benchmarks.
Mistral AISummary
- They share 4 benchmarks with published results for both. gpt-oss-20b scores higher in 3 categories and Ministral 3B in 0 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where gpt-oss-20b leads 34.6 to 10.4.
- The biggest single-benchmark swing is GPQA Diamond: 60.8% for gpt-oss-20b and 25.3% for Ministral 3B.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $0.10 / $0.10 for Ministral 3B.
Side by side
| gpt-oss-20b | Ministral 3B | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 32.5 | 26.2 |
| Released | 2025-08-05 | 2024-10-01 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 16K | 262K |
| Input $ / M tokens | $0.018 | $0.10 |
| Output $ / M tokens | $0.09 | $0.10 |
| Results tracked | 34 | 6 |
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Category by category
Coding Not comparable
gpt-oss-20b: 37.6 (#192), Ministral 3B: —
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| LMArena Coding | 1306 | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Ministral 3B: —
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Too close to call
gpt-oss-20b: 19.3 (#261), Ministral 3B: 18.4 (#282)
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| DTBench | 68% | 51.7% |
| LMCA | 14.5% | 5.5% |
| Epoch Capabilities Index | 137.82 | 118.1 |
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1274 | — |
Math gpt-oss-20b leads
gpt-oss-20b: 39.4 (#103), Ministral 3B: 26.6 (#258)
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |
| MATH Level 5 | — | 14.4% |
Knowledge gpt-oss-20b leads
gpt-oss-20b: 34.6 (#195), Ministral 3B: 10.4 (#302)
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| GPQA Diamond | 60.8% | 25.3% |
| MMLU-Pro | 74% | — |
| Vectara Hallucination Rate | — | 7.3% |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
Multilingual Not comparable
gpt-oss-20b: 42.2 (#197), Ministral 3B: —
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| LMArena Non-English | 1268 | — |
| LMArena Chinese | 1314 | — |
| LMArena German | 1255 | — |
| LMArena Japanese | 1244 | — |
| LMArena Korean | 1236 | — |
| LMArena Russian | 1278 | — |
| LMArena Spanish | 1267 | — |
Instruction Following Not comparable
gpt-oss-20b: 61.8 (#240), Ministral 3B: —
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |
Long Context Not comparable
gpt-oss-20b: 37.9 (#209), Ministral 3B: —
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| LMArena Longer Query | 1250 | — |
Writing & Preference Not comparable
gpt-oss-20b: 35.5 (#265), Ministral 3B: —
| Benchmark | gpt-oss-20b | Ministral 3B |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1201 | — |
| EQ-Bench Creative Writing | 666 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |
Frequently asked questions
Is gpt-oss-20b better than Ministral 3B?
gpt-oss-20b is the stronger model overall, scoring 32.5 to 26.2 on the Noometry Index.
Which is cheaper, gpt-oss-20b or Ministral 3B?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Ministral 3B lists at $0.10 and $0.10.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do gpt-oss-20b and Ministral 3B share?
4 benchmarks have published results for both models. gpt-oss-20b has 34 scored results on Noometry and Ministral 3B has 6.