Model comparison
Command A vs Mistral Nemo
Command A is the stronger model overall, scoring 36.5 to 26.4 on the Noometry Index. Mistral Nemo costs 29× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Command A scores higher in 4 categories and Mistral Nemo in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Command A leads 37.1 to 12.3.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 57.1% for Command A and 27.6% for Mistral Nemo.
- Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $2.50 / $10 for Command A.
- Command A accepts more context: 256K tokens versus 128K.
Side by side
| Command A | Mistral Nemo | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 36.5 | 26.4 |
| Released | 2025-03-13 | 2024-07-01 |
| Weights | Open | Open |
| Context window | 256K | 128K |
| Max output | 8K | 128K |
| Input $ / M tokens | $2.50 | $0.15 |
| Output $ / M tokens | $10 | $0.15 |
| Results tracked | 24 | 10 |
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Category by category
Coding Not comparable
Command A: 27.2 (#322), Mistral Nemo: —
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| Aider Polyglot | 12% | — |
| LMArena Coding | 1330 | — |
Agentic & Tool Use Command A leads
Command A: 35.9 (#40), Mistral Nemo: 23.5 (#125)
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | 27.6% |
| BALROG | — | 17.6% |
Reasoning Mistral Nemo leads
Command A: 18.3 (#283), Mistral Nemo: 20.7 (#232)
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| DTBench | 61.3% | 48.6% |
| Kagi LLM Benchmark | 28.8% | — |
| LMArena Hard Prompts | 1326 | — |
| LMCA | 10.3% | — |
| Epoch Capabilities Index | — | 118.68 |
| PIQA | — | 83.5% |
Math Command A leads
Command A: 36.2 (#171), Mistral Nemo: 25.5 (#268)
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| LMArena Math | 1300 | — |
| MATH Level 5 | — | 10.8% |
| GSM8K | — | 84.2% |
Knowledge Command A leads
Command A: 37.1 (#159), Mistral Nemo: 12.3 (#298)
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| GPQA Diamond | — | 29.9% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
| BoolQ | — | 82.5% |
Multilingual Not comparable
Command A: 45.3 (#170), Mistral Nemo: —
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| 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 Nemo: —
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#151), Mistral Nemo: —
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Command A leads
Command A: 47.6 (#208), Mistral Nemo: 28.5 (#296)
| Benchmark | Command A | Mistral Nemo |
|---|---|---|
| EQ-Bench Creative Writing | 1145 | 881 |
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| LMArena Multi-Turn | 1339 | — |
Frequently asked questions
Is Command A better than Mistral Nemo?
Command A is the stronger model overall, scoring 36.5 to 26.4 on the Noometry Index. Mistral Nemo costs 29× 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 Nemo?
Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 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 128K.
How many benchmarks do Command A and Mistral Nemo share?
3 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Mistral Nemo has 10.