Model comparison
Command A vs Mistral
Command A is the stronger model overall, scoring 36.5 to 29.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
Cohere
Mistral AISummary
- They share 17 benchmarks with published results for both. Command A scores higher in 6 categories and Mistral in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Command A leads 37.1 to 16.6.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | Mistral | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 36.5 | 29.9 |
| Released | 2025-03-13 | — |
| Weights | Open | Proprietary |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 22 |
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Category by category
Coding Mistral leads
Command A: 27.2 (#322), Mistral: 33.8 (#250)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Coding | 1330 | 1162 |
| Aider Polyglot | 12% | — |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Mistral: —
| Benchmark | Command A | Mistral |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Mistral leads
Command A: 18.3 (#283), Mistral: 22.2 (#200)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1149 |
| Kagi LLM Benchmark | 28.8% | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
Math Command A leads
Command A: 36.2 (#171), Mistral: 22.3 (#278)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Math | 1300 | 1180 |
| Omni-MATH | — | 7.2% |
Knowledge Command A leads
Command A: 37.1 (#159), Mistral: 16.6 (#288)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Expert | 1295 | 1125 |
| MMLU-Pro | — | 27.7% |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | — | 30.3% |
Multilingual Command A leads
Command A: 45.3 (#170), Mistral: 32.8 (#254)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Non-English | 1313 | 1129 |
| LMArena Chinese | 1327 | 1109 |
| LMArena French | 1351 | 1180 |
| LMArena German | 1341 | 1155 |
| LMArena Japanese | 1285 | 1013 |
| LMArena Korean | 1285 | 1032 |
| LMArena Russian | 1314 | 1168 |
| LMArena Spanish | 1347 | 1143 |
Instruction Following Command A leads
Command A: 69.1 (#177), Mistral: 52.6 (#288)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Instruction Following | 1309 | 1152 |
| IFEval | — | 56.8% |
Long Context Command A leads
Command A: 40.6 (#151), Mistral: 35.0 (#245)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Longer Query | 1334 | 1153 |
Writing & Preference Command A leads
Command A: 47.6 (#208), Mistral: 37.0 (#260)
| Benchmark | Command A | Mistral |
|---|---|---|
| LMArena Text | 1331 | 1165 |
| LMArena Creative Writing | 1319 | 1158 |
| LMArena Multi-Turn | 1339 | 1147 |
| EQ-Bench Creative Writing | 1145 | — |
| WildBench | — | 66% |
Frequently asked questions
Is Command A better than Mistral?
Command A is the stronger model overall, scoring 36.5 to 29.9 on the Noometry Index.
Is Command A or Mistral better for coding?
Mistral scores higher on coding benchmarks: 33.8 versus 27.2 in the Noometry coding category.
How many benchmarks do Command A and Mistral share?
17 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Mistral has 22.