Model comparison
Command A vs Mistral Medium 3.5
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 36.5 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 1 category and Mistral Medium 3.5 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium 3.5 leads 58.5 to 47.6.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 28.8% for Command A and 41.4% for Mistral Medium 3.5.
- Mistral Medium 3.5 is cheaper at $1.50 / $7.50 per million input/output tokens, against $2.50 / $10 for Command A.
- Mistral Medium 3.5 accepts more context: 262K tokens versus 256K.
Side by side
| Command A | Mistral Medium 3.5 | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 36.5 | 40.2 |
| Released | 2025-03-13 | — |
| Weights | Open | Open |
| Context window | 256K | 262K |
| Max output | 8K | 210K |
| Input $ / M tokens | $2.50 | $1.50 |
| Output $ / M tokens | $10 | $7.50 |
| Results tracked | 24 | 22 |
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Category by category
Coding Mistral Medium 3.5 leads
Command A: 27.2 (#322), Mistral Medium 3.5: 36.0 (#213)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Coding | 1330 | 1461 |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1264 |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Mistral Medium 3.5: —
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Command A leads
Command A: 18.3 (#283), Mistral Medium 3.5: 17.3 (#295)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | 41.4% |
| LMArena Hard Prompts | 1326 | 1436 |
| NYT Connections (extended) | — | 12.9% |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| Epoch Capabilities Index | — | 141.35 |
Math Mistral Medium 3.5 leads
Command A: 36.2 (#171), Mistral Medium 3.5: 39.1 (#113)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Math | 1300 | 1431 |
Knowledge Mistral Medium 3.5 leads
Command A: 37.1 (#159), Mistral Medium 3.5: 40.0 (#126)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Expert | 1295 | 1432 |
| Vectara Hallucination Rate | 9.3% | — |
Multimodal Not comparable
Command A: —, Mistral Medium 3.5: 38.3 (#65)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Vision | — | 1223 |
Multilingual Mistral Medium 3.5 leads
Command A: 45.3 (#170), Mistral Medium 3.5: 51.9 (#100)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Non-English | 1313 | 1404 |
| LMArena Chinese | 1327 | 1442 |
| LMArena French | 1351 | 1448 |
| LMArena German | 1341 | 1451 |
| LMArena Korean | 1285 | 1385 |
| LMArena Russian | 1314 | 1395 |
| LMArena Spanish | 1347 | 1409 |
| LMArena Japanese | 1285 | — |
Instruction Following Mistral Medium 3.5 leads
Command A: 69.1 (#177), Mistral Medium 3.5: 74.6 (#90)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Instruction Following | 1309 | 1415 |
Long Context Mistral Medium 3.5 leads
Command A: 40.6 (#151), Mistral Medium 3.5: 43.2 (#103)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Longer Query | 1334 | 1415 |
Writing & Preference Mistral Medium 3.5 leads
Command A: 47.6 (#208), Mistral Medium 3.5: 58.5 (#117)
| Benchmark | Command A | Mistral Medium 3.5 |
|---|---|---|
| LMArena Text | 1331 | 1421 |
| LMArena Creative Writing | 1319 | 1374 |
| LMArena Multi-Turn | 1339 | 1423 |
| EQ-Bench Creative Writing | 1145 | — |
| EQ-Bench 4 | — | 993 |
Frequently asked questions
Is Command A better than Mistral Medium 3.5?
Mistral Medium 3.5 is the stronger model overall, scoring 40.2 to 36.5 on the Noometry Index.
Which is cheaper, Command A or Mistral Medium 3.5?
Mistral Medium 3.5 is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Command A lists at $2.50 and $10.
Is Command A or Mistral Medium 3.5 better for coding?
Mistral Medium 3.5 scores higher on coding benchmarks: 36.0 versus 27.2 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium 3.5 does, with 262K tokens against 256K.
How many benchmarks do Command A and Mistral Medium 3.5 share?
17 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Mistral Medium 3.5 has 22.