Model comparison
Command R vs Mistral Large
Command R and Mistral Large score almost the same on the Noometry Index (31.4 vs 31.9), so choose on price, context window or the category you care about most.
Last verified . 29 shared benchmarks.
Cohere
Mistral AISummary
- They share 29 benchmarks with published results for both. Command R scores higher in 2 categories and Mistral Large in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in instruction following, where Mistral Large leads 67.9 to 58.1.
- The biggest single-benchmark swing is LiveBench Coding: 17.9% for Command R and 47.1% for Mistral Large.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $6 for Mistral Large.
- Mistral Large accepts more context: 131K tokens versus 128K.
Side by side
| Command R | Mistral Large | |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 31.4 | 31.9 |
| Released | 2024-08-30 | 2024-02-26 |
| Weights | Open | Open |
| Context window | 128K | 131K |
| Max output | 4K | 16K |
| Input $ / M tokens | $0.15 | $2 |
| Output $ / M tokens | $0.60 | $6 |
| Results tracked | 29 | 51 |
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Category by category
Coding Mistral Large leads
Command R: 29.3 (#306), Mistral Large: 34.3 (#240)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 37.1% | 30% |
| LiveBench Coding | 17.9% | 47.1% |
| LMArena Coding | 1169 | 1277 |
| BigCodeBench Complete | 45.2% | 38.3% |
| SciCode | — | 36.2% |
| ALE-Bench | — | 264.7 |
| HumanEval+ | — | 62.2% |
| MBPP+ | — | 59.5% |
Agentic & Tool Use Not comparable
Command R: —, Mistral Large: 28.6 (#89)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |
Reasoning Mistral Large leads
Command R: 13.8 (#331), Mistral Large: 15.8 (#310)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| LiveBench Reasoning | 21.9% | 43.5% |
| LMArena Hard Prompts | 1164 | 1257 |
| DTBench | 46.4% | 65.1% |
| LiveBench Data Analysis | 33.3% | 50.1% |
| LMCA | 9.2% | 16.7% |
| LiveBench | 27.5% | 48.4% |
| SimpleBench | — | 22.5% |
| CritPt | — | 0% |
| Epoch Capabilities Index | — | 128.52 |
| ForecastBench | — | 57.1 |
Math Command R leads
Command R: 28.0 (#246), Mistral Large: 18.2 (#291)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| LiveBench Math | 19.4% | 42.5% |
| LMArena Math | 1155 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |
Knowledge Too close to call
Command R: 31.0 (#221), Mistral Large: 30.1 (#230)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| LMArena Expert | 1138 | 1232 |
| MMLU | 65.2% | 80% |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| Vectara Hallucination Rate | — | 4.5% |
| GPQA (HELM) | — | 43.5% |
Multilingual Mistral Large leads
Command R: 35.7 (#245), Mistral Large: 40.0 (#219)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| LMArena Non-English | 1174 | 1237 |
| LMArena Chinese | 1182 | 1240 |
| LMArena French | 1162 | 1325 |
| LMArena German | 1176 | 1254 |
| LMArena Japanese | 1143 | 1188 |
| LMArena Korean | 1163 | 1202 |
| LMArena Russian | 1174 | 1257 |
| LMArena Spanish | 1151 | 1268 |
Instruction Following Mistral Large leads
Command R: 58.1 (#261), Mistral Large: 67.9 (#191)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 55.6% | 67.9% |
| LMArena Instruction Following | 1167 | 1249 |
| IFEval | — | 87.7% |
Long Context Mistral Large leads
Command R: 36.3 (#231), Mistral Large: 38.3 (#199)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1198 | 1261 |
Writing & Preference Mistral Large leads
Command R: 38.2 (#254), Mistral Large: 40.7 (#242)
| Benchmark | Command R | Mistral Large |
|---|---|---|
| LMArena Text | 1187 | 1266 |
| LMArena Creative Writing | 1170 | 1243 |
| LMArena Multi-Turn | 1163 | 1260 |
| LiveBench Language | 16.7% | 39.4% |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |
Frequently asked questions
Is Command R better than Mistral Large?
Command R and Mistral Large score almost the same on the Noometry Index (31.4 vs 31.9), so choose on price, context window or the category you care about most.
Which is cheaper, Command R or Mistral Large?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Large lists at $2 and $6.
Is Command R or Mistral Large better for coding?
Mistral Large scores higher on coding benchmarks: 34.3 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
Mistral Large does, with 131K tokens against 128K.
How many benchmarks do Command R and Mistral Large share?
29 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Mistral Large has 51.