Model comparison
Command R+ vs Mistral Medium
Mistral Medium is the stronger model overall, scoring 36.3 to 32.4 on the Noometry Index.
Last verified . 20 shared benchmarks.
Cohere
Mistral AISummary
- They share 20 benchmarks with published results for both. Command R+ scores higher in 2 categories and Mistral Medium in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mistral Medium leads 60.0 to 43.5.
- The biggest single-benchmark swing is LMCA: 5% for Command R+ and 26.1% for Mistral Medium.
- Mistral Medium is cheaper at $1.50 / $7.50 per million input/output tokens, against $2.50 / $10 for Command R+.
- Mistral Medium accepts more context: 262K tokens versus 128K.
Side by side
| Command R+ | Mistral Medium | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 32.4 | 36.3 |
| Released | 2024-08-30 | 2023-12-11 |
| Weights | Open | Open |
| Context window | 128K | 262K |
| Max output | 4K | 262K |
| Input $ / M tokens | $2.50 | $1.50 |
| Output $ / M tokens | $10 | $7.50 |
| Results tracked | 34 | 36 |
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Category by category
Coding Mistral Medium leads
Command R+: 29.1 (#309), Mistral Medium: 34.2 (#243)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Coding | 1187 | 1434 |
| FrontierCode | — | 8% |
| SciCode | — | 40.2% |
| WeirdML | — | 43.7% |
| BigCodeBench Instruct | 33.8% | — |
| LiveBench Coding | 19.1% | — |
| BigCodeBench Complete | 41.9% | — |
| ALE-Bench | — | 763.98 |
| HumanEval+ | 56.7% | — |
| MBPP+ | 63.5% | — |
Agentic & Tool Use Not comparable
Command R+: —, Mistral Medium: 28.3 (#90)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 37.7% |
Reasoning Mistral Medium leads
Command R+: 9.2 (#344), Mistral Medium: 24.0 (#167)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Hard Prompts | 1186 | 1426 |
| DTBench | 54.9% | 75.5% |
| LMCA | 5% | 26.1% |
| SimpleBench | 17.4% | — |
| Kagi LLM Benchmark | — | 50% |
| CritPt | — | 0% |
| LiveBench Reasoning | 24.8% | — |
| LiveBench Data Analysis | 38.1% | — |
| Surface Evolver Bench | — | 26.9% |
| Epoch Capabilities Index | 119.34 | — |
| LiveBench | 31.8% | — |
Math Too close to call
Command R+: 28.9 (#242), Mistral Medium: 28.1 (#245)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Math | 1188 | 1408 |
| OTIS Mock AIME 2024-2025 | — | 32.2% |
| ProofBench | — | 9% |
| LiveBench Math | 21.3% | — |
| MATH Level 5 | — | 81.6% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Command R+ leads
Command R+: 36.4 (#169), Mistral Medium: 25.0 (#265)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| Vectara Hallucination Rate | 6.9% | 22.7% |
| LMArena Expert | 1174 | 1408 |
| GPQA Diamond | — | 59.5% |
| Humanity's Last Exam | — | 4.5% |
| MMLU | 69.4% | — |
Multimodal Not comparable
Command R+: —, Mistral Medium: 35.3 (#88)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Vision | — | 1172 |
Multilingual Mistral Medium leads
Command R+: 38.6 (#227), Mistral Medium: 52.1 (#91)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Non-English | 1216 | 1408 |
| LMArena Chinese | 1226 | 1447 |
| LMArena French | 1209 | 1459 |
| LMArena German | 1216 | 1432 |
| LMArena Japanese | 1166 | 1378 |
| LMArena Korean | 1138 | 1380 |
| LMArena Russian | 1227 | 1411 |
| LMArena Spanish | 1189 | 1433 |
Instruction Following Mistral Medium leads
Command R+: 60.0 (#254), Mistral Medium: 73.7 (#116)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Instruction Following | 1197 | 1398 |
| LiveBench Instruction Following | 57.6% | — |
Long Context Mistral Medium leads
Command R+: 37.3 (#219), Mistral Medium: 42.9 (#114)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Longer Query | 1230 | 1406 |
Writing & Preference Mistral Medium leads
Command R+: 43.5 (#228), Mistral Medium: 60.0 (#103)
| Benchmark | Command R+ | Mistral Medium |
|---|---|---|
| LMArena Text | 1229 | 1424 |
| LMArena Creative Writing | 1235 | 1391 |
| LMArena Multi-Turn | 1213 | 1418 |
| Short-Story Creative Writing | — | 77.3% |
| LiveBench Language | 29.7% | — |
Frequently asked questions
Is Command R+ better than Mistral Medium?
Mistral Medium is the stronger model overall, scoring 36.3 to 32.4 on the Noometry Index.
Which is cheaper, Command R+ or Mistral Medium?
Mistral Medium is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; Command R+ lists at $2.50 and $10.
Is Command R+ or Mistral Medium better for coding?
Mistral Medium scores higher on coding benchmarks: 34.2 versus 29.1 in the Noometry coding category.
Which has the bigger context window?
Mistral Medium does, with 262K tokens against 128K.
How many benchmarks do Command R+ and Mistral Medium share?
20 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and Mistral Medium has 36.