Model comparison
gpt-oss-20b vs Pixtral Large
gpt-oss-20b and Pixtral Large score almost the same on the Noometry Index (32.5 vs 32.2), so choose on price, context window or the category you care about most.
Last verified . 1 shared benchmarks.
Mistral AISummary
- They share 1 benchmark with published results for both. gpt-oss-20b scores higher in 1 category and Pixtral Large in 1 category; 2 gaps are clear of the uncertainty.
- gpt-oss-20b is cheaper at $0.018 / $0.09 per million input/output tokens, against $2 / $6 for Pixtral Large.
- gpt-oss-20b accepts more context: 131K tokens versus 128K.
Side by side
| gpt-oss-20b | Pixtral Large | |
|---|---|---|
| Provider | OpenAI | Mistral AI |
| Noometry Index | 32.5 | 32.2 |
| Released | 2025-08-05 | 2024-11-01 |
| Weights | Open | Open |
| Context window | 131K | 128K |
| Max output | 16K | 128K |
| Input $ / M tokens | $0.018 | $2 |
| Output $ / M tokens | $0.09 | $6 |
| Results tracked | 34 | 3 |
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Category by category
Coding Not comparable
gpt-oss-20b: 37.6 (#192), Pixtral Large: —
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| SciCode | 34.4% | — |
| WeirdML | 40.9% | — |
| LMArena Coding | 1306 | — |
| ALE-Bench | 566.05 | — |
Agentic & Tool Use Not comparable
gpt-oss-20b: 9.3 (#154), Pixtral Large: —
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| Terminal-Bench | 3.4% | — |
Reasoning Pixtral Large leads
gpt-oss-20b: 19.3 (#261), Pixtral Large: 21.7 (#218)
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| Kagi LLM Benchmark | 53.2% | — |
| CritPt | 1.4% | — |
| Chess Puzzles | 4% | — |
| EnigmaEval | — | 0.8% |
| LMArena Hard Prompts | 1274 | — |
| DTBench | 68% | — |
| LMCA | 14.5% | — |
| Epoch Capabilities Index | 137.82 | — |
Math Not comparable
gpt-oss-20b: 39.4 (#103), Pixtral Large: —
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 65.3% | — |
| Omni-MATH | 56.5% | — |
| LMArena Math | 1317 | — |
Knowledge Not comparable
gpt-oss-20b: 34.6 (#195), Pixtral Large: —
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| GPQA Diamond | 60.8% | — |
| MMLU-Pro | 74% | — |
| GPQA (HELM) | 59.4% | — |
| LMArena Expert | 1258 | — |
Multimodal Not comparable
gpt-oss-20b: —, Pixtral Large: 30.6 (#111)
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| LMArena Vision | — | 1089 |
Multilingual Not comparable
gpt-oss-20b: 42.2 (#197), Pixtral Large: —
| Benchmark | gpt-oss-20b | Pixtral 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 Not comparable
gpt-oss-20b: 61.8 (#240), Pixtral Large: —
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| IFEval | 73.2% | — |
| LMArena Instruction Following | 1236 | — |
Long Context Not comparable
gpt-oss-20b: 37.9 (#209), Pixtral Large: —
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| LMArena Longer Query | 1250 | — |
Writing & Preference gpt-oss-20b leads
gpt-oss-20b: 35.5 (#265), Pixtral Large: 32.9 (#278)
| Benchmark | gpt-oss-20b | Pixtral Large |
|---|---|---|
| EQ-Bench Creative Writing | 666 | 988 |
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1201 | — |
| WildBench | 73.7% | — |
| LMArena Multi-Turn | 1268 | — |
Frequently asked questions
Is gpt-oss-20b better than Pixtral Large?
gpt-oss-20b and Pixtral Large score almost the same on the Noometry Index (32.5 vs 32.2), so choose on price, context window or the category you care about most.
Which is cheaper, gpt-oss-20b or Pixtral Large?
gpt-oss-20b is cheaper. It lists at $0.018 per million input tokens and $0.09 per million output tokens; Pixtral Large lists at $2 and $6.
Which has the bigger context window?
gpt-oss-20b does, with 131K tokens against 128K.
How many benchmarks do gpt-oss-20b and Pixtral Large share?
1 benchmark has published results for both models. gpt-oss-20b has 34 scored results on Noometry and Pixtral Large has 3.