Model comparison
Command R vs Devstral Small 2505
Devstral Small 2505 is the stronger model overall, scoring 33.9 to 31.0 on the Noometry Index.
Last verified . 0 shared benchmarks.
Cohere
Mistral AISummary
- The widest gap is in coding, where Devstral Small 2505 leads 38.6 to 28.8.
- Devstral Small 2505 is cheaper at $0.10 / $0.30 per million input/output tokens, against $0.15 / $0.60 for Command R.
Side by side
| Command R | Devstral Small 2505 | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 31.0 | 33.9 |
| Released | 2024-08-30 | 2025-05-07 |
| Weights | Open | Open |
| Context window | 128K | 128K |
| Max output | 4K | 128K |
| Input $ / M tokens | $0.15 | $0.10 |
| Output $ / M tokens | $0.60 | $0.30 |
| Results tracked | 29 | 4 |
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Category by category
Coding Devstral Small 2505 leads
Command R: 28.8 (#301), Devstral Small 2505: 38.6 (#160)
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| SWE-bench Verified (bash only) | — | 56.4% |
| SciCode | — | 28.8% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| LMArena Coding | 1170 | — |
| BigCodeBench Complete | 45.2% | — |
Reasoning Devstral Small 2505 leads
Command R: 13.3 (#329), Devstral Small 2505: 19.1 (#243)
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| Kagi LLM Benchmark | — | 37.7% |
| CritPt | — | 0% |
| LiveBench Reasoning | 21.9% | — |
| LMArena Hard Prompts | 1164 | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |
Math Not comparable
Command R: 25.8 (#244), Devstral Small 2505: —
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| LiveBench Math | 19.4% | — |
| LMArena Math | 1155 | — |
Knowledge Not comparable
Command R: 30.5 (#219), Devstral Small 2505: —
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| LMArena Expert | 1138 | — |
| MMLU | 65.2% | — |
Multilingual Not comparable
Command R: 35.9 (#240), Devstral Small 2505: —
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| LMArena Non-English | 1174 | — |
| LMArena Chinese | 1182 | — |
| LMArena French | 1161 | — |
| LMArena German | 1176 | — |
| LMArena Japanese | 1143 | — |
| LMArena Korean | 1162 | — |
| LMArena Russian | 1174 | — |
| LMArena Spanish | 1150 | — |
Instruction Following Not comparable
Command R: 58.3 (#256), Devstral Small 2505: —
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| LiveBench Instruction Following | 55.6% | — |
| LMArena Instruction Following | 1167 | — |
Long Context Not comparable
Command R: 36.3 (#226), Devstral Small 2505: —
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| LMArena Longer Query | 1198 | — |
Writing & Preference Not comparable
Command R: 38.4 (#248), Devstral Small 2505: —
| Benchmark | Command R | Devstral Small 2505 |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1170 | — |
| LMArena Multi-Turn | 1163 | — |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than Devstral Small 2505?
Devstral Small 2505 is the stronger model overall, scoring 33.9 to 31.0 on the Noometry Index.
Which is cheaper, Command R or Devstral Small 2505?
Devstral Small 2505 is cheaper. It lists at $0.10 per million input tokens and $0.30 per million output tokens; Command R lists at $0.15 and $0.60.
Is Command R or Devstral Small 2505 better for coding?
Devstral Small 2505 scores higher on coding benchmarks: 38.6 versus 28.8 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Command R and Devstral Small 2505 share?
0 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Devstral Small 2505 has 4.