Model comparison
Command A vs MiMo-V2.5-Pro
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 36.5 on the Noometry Index.
Last verified . 20 shared benchmarks.
Summary
- They share 20 benchmarks with published results for both. Command A scores higher in 0 categories and MiMo-V2.5-Pro in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in coding, where MiMo-V2.5-Pro leads 47.4 to 27.2.
- The biggest single-benchmark swing is DTBench: 61.3% for Command A and 84.5% for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro is cheaper at $0.43 / $0.87 per million input/output tokens, against $2.50 / $10 for Command A.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 256K.
Side by side
| Command A | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Cohere | Xiaomi |
| Noometry Index | 36.5 | 45.2 |
| Released | 2025-03-13 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 256K | 1.05M |
| Max output | 8K | 131K |
| Input $ / M tokens | $2.50 | $0.43 |
| Output $ / M tokens | $10 | $0.87 |
| Results tracked | 24 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
Command A: 27.2 (#322), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Coding | 1330 | 1503 |
| Aider Polyglot | 12% | — |
| LMArena WebDev | — | 1479 |
| SciCode | — | 50.2% |
| ALE-Bench | — | 899.8 |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), MiMo-V2.5-Pro: —
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning MiMo-V2.5-Pro leads
Command A: 18.3 (#283), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1488 |
| DTBench | 61.3% | 84.5% |
| LMCA | 10.3% | 29.5% |
| Kagi LLM Benchmark | 28.8% | — |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
Math MiMo-V2.5-Pro leads
Command A: 36.2 (#171), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1300 | 1481 |
| ProofBench | — | 22% |
Knowledge MiMo-V2.5-Pro leads
Command A: 37.1 (#159), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1295 | 1503 |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual MiMo-V2.5-Pro leads
Command A: 45.3 (#170), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1313 | 1449 |
| LMArena Chinese | 1327 | 1507 |
| LMArena French | 1351 | 1488 |
| LMArena German | 1341 | 1458 |
| LMArena Japanese | 1285 | 1412 |
| LMArena Korean | 1285 | 1437 |
| LMArena Russian | 1314 | 1450 |
| LMArena Spanish | 1347 | 1471 |
Instruction Following MiMo-V2.5-Pro leads
Command A: 69.1 (#177), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1309 | 1477 |
Long Context MiMo-V2.5-Pro leads
Command A: 40.6 (#151), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1334 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
Command A: 47.6 (#208), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | Command A | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1331 | 1465 |
| LMArena Creative Writing | 1319 | 1440 |
| EQ-Bench Creative Writing | 1145 | 1493 |
| LMArena Multi-Turn | 1339 | 1477 |
| EQ-Bench 4 | — | 1208 |
Frequently asked questions
Is Command A better than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 36.5 on the Noometry Index.
Which is cheaper, Command A or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is cheaper. It lists at $0.43 per million input tokens and $0.87 per million output tokens; Command A lists at $2.50 and $10.
Is Command A or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 27.2 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 256K.
How many benchmarks do Command A and MiMo-V2.5-Pro share?
20 benchmarks have published results for both models. Command A has 24 scored results on Noometry and MiMo-V2.5-Pro has 27.