Model comparison
Command A vs Mistral Medium 3.1
Command A is the stronger model overall, scoring 36.5 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 5.5× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. Command A scores higher in 1 category and Mistral Medium 3.1 in 1 category; 2 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.1 leads 55.5 to 47.6.
- Mistral Medium 3.1 is cheaper at $0.40 / $2 per million input/output tokens, against $2.50 / $10 for Command A.
- Command A accepts more context: 256K tokens versus 131K.
- Command A has downloadable open weights; the other is API-only.
Side by side
| Command A | Mistral Medium 3.1 | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 36.5 | 31.9 |
| Released | 2025-03-13 | — |
| Weights | Open | Proprietary |
| Context window | 256K | 131K |
| Max output | 8K | 105K |
| Input $ / M tokens | $2.50 | $0.40 |
| Output $ / M tokens | $10 | $2 |
| Results tracked | 24 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Not comparable
Command A: 27.2 (#322), Mistral Medium 3.1: —
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| Aider Polyglot | 12% | — |
| LMArena Coding | 1330 | — |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Mistral Medium 3.1: —
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Command A leads
Command A: 18.3 (#283), Mistral Medium 3.1: 10.6 (#341)
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 6.5% |
| Thematic Generalization | — | 20.3% |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
Math Not comparable
Command A: 36.2 (#171), Mistral Medium 3.1: —
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| LMArena Math | 1300 | — |
Knowledge Not comparable
Command A: 37.1 (#159), Mistral Medium 3.1: —
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
Multilingual Not comparable
Command A: 45.3 (#170), Mistral Medium 3.1: —
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| LMArena French | 1351 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1285 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1347 | — |
Instruction Following Not comparable
Command A: 69.1 (#177), Mistral Medium 3.1: —
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#151), Mistral Medium 3.1: —
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Mistral Medium 3.1 leads
Command A: 47.6 (#208), Mistral Medium 3.1: 55.5 (#145)
| Benchmark | Command A | Mistral Medium 3.1 |
|---|---|---|
| EQ-Bench Creative Writing | 1145 | 1476 |
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| LMArena Multi-Turn | 1339 | — |
Frequently asked questions
Is Command A better than Mistral Medium 3.1?
Command A is the stronger model overall, scoring 36.5 to 31.9 on the Noometry Index. Mistral Medium 3.1 costs 5.5× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.
Which is cheaper, Command A or Mistral Medium 3.1?
Mistral Medium 3.1 is cheaper. It lists at $0.40 per million input tokens and $2 per million output tokens; Command A lists at $2.50 and $10.
Which has the bigger context window?
Command A does, with 256K tokens against 131K.
How many benchmarks do Command A and Mistral Medium 3.1 share?
1 benchmark has published results for both models. Command A has 24 scored results on Noometry and Mistral Medium 3.1 has 3.