Model comparison
Command R vs MiMo-V2.5-Pro
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.4 on the Noometry Index. Command R costs 2.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.
Last verified . 19 shared benchmarks.
Summary
- They share 19 benchmarks with published results for both. Command R 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 writing & preference, where MiMo-V2.5-Pro leads 65.3 to 38.2.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 84.5% for MiMo-V2.5-Pro.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.5-Pro.
- MiMo-V2.5-Pro accepts more context: 1.05M tokens versus 128K.
Side by side
| Command R | MiMo-V2.5-Pro | |
|---|---|---|
| Provider | Cohere | Xiaomi |
| Noometry Index | 31.4 | 45.2 |
| Released | 2024-08-30 | 2026-04-22 |
| Weights | Open | Open |
| Context window | 128K | 1.05M |
| Max output | 4K | 131K |
| Input $ / M tokens | $0.15 | $0.43 |
| Output $ / M tokens | $0.60 | $0.87 |
| Results tracked | 29 | 27 |
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Category by category
Coding MiMo-V2.5-Pro leads
Command R: 29.3 (#306), MiMo-V2.5-Pro: 47.4 (#60)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Coding | 1169 | 1503 |
| LMArena WebDev | — | 1479 |
| SciCode | — | 50.2% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 899.8 |
Reasoning MiMo-V2.5-Pro leads
Command R: 13.8 (#331), MiMo-V2.5-Pro: 26.8 (#130)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1488 |
| DTBench | 46.4% | 84.5% |
| LMCA | 9.2% | 29.5% |
| NYT Connections (extended) | — | 34.4% |
| CritPt | — | 4% |
| LiveBench Reasoning | 21.9% | — |
| LiveBench Data Analysis | 33.3% | — |
| LiveBench | 27.5% | — |
Math MiMo-V2.5-Pro leads
Command R: 28.0 (#246), MiMo-V2.5-Pro: 40.0 (#96)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Math | 1155 | 1481 |
| ProofBench | — | 22% |
| LiveBench Math | 19.4% | — |
Knowledge MiMo-V2.5-Pro leads
Command R: 31.0 (#221), MiMo-V2.5-Pro: 42.2 (#98)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Expert | 1138 | 1503 |
| MMLU | 65.2% | — |
Multilingual MiMo-V2.5-Pro leads
Command R: 35.7 (#245), MiMo-V2.5-Pro: 55.1 (#34)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Non-English | 1174 | 1449 |
| LMArena Chinese | 1182 | 1507 |
| LMArena French | 1162 | 1488 |
| LMArena German | 1176 | 1458 |
| LMArena Japanese | 1143 | 1412 |
| LMArena Korean | 1163 | 1437 |
| LMArena Russian | 1174 | 1450 |
| LMArena Spanish | 1151 | 1471 |
Instruction Following MiMo-V2.5-Pro leads
Command R: 58.1 (#261), MiMo-V2.5-Pro: 77.5 (#21)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Instruction Following | 1167 | 1477 |
| LiveBench Instruction Following | 55.6% | — |
Long Context MiMo-V2.5-Pro leads
Command R: 36.3 (#231), MiMo-V2.5-Pro: 45.4 (#37)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Longer Query | 1198 | 1483 |
Writing & Preference MiMo-V2.5-Pro leads
Command R: 38.2 (#254), MiMo-V2.5-Pro: 65.3 (#49)
| Benchmark | Command R | MiMo-V2.5-Pro |
|---|---|---|
| LMArena Text | 1187 | 1465 |
| LMArena Creative Writing | 1170 | 1440 |
| LMArena Multi-Turn | 1163 | 1477 |
| EQ-Bench Creative Writing | — | 1493 |
| EQ-Bench 4 | — | 1208 |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the stronger model overall, scoring 45.2 to 31.4 on the Noometry Index. Command R costs 2.1× less per token, which makes it the better buy when MiMo-V2.5-Pro's lead doesn't matter for your workload.
Which is cheaper, Command R or MiMo-V2.5-Pro?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; MiMo-V2.5-Pro lists at $0.43 and $0.87.
Is Command R or MiMo-V2.5-Pro better for coding?
MiMo-V2.5-Pro scores higher on coding benchmarks: 47.4 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
MiMo-V2.5-Pro does, with 1.05M tokens against 128K.
How many benchmarks do Command R and MiMo-V2.5-Pro share?
19 benchmarks have published results for both models. Command R has 29 scored results on Noometry and MiMo-V2.5-Pro has 27.