# Command R+ vs Mistral Large

> Command R+ and Mistral Large score almost the same on the Noometry Index (32.4 vs 31.9), so choose on price, context window or the category you care about most.

- Canonical page: https://noometry.com/compare/command-r-plus-vs-mistral-large
- Last updated: 2026-10-10
- Shared benchmarks: 34

## Summary

- They share 34 benchmarks with published results for both. Command R+ scores higher in 3 categories and Mistral Large in 5 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Command R+ leads 28.9 to 18.2.
- The biggest single-benchmark swing is LiveBench Coding: 19.1% for Command R+ and 47.1% for Mistral Large.
- Mistral Large is cheaper at $2 / $6 per million input/output tokens, against $2.50 / $10 for Command R+.
- Mistral Large accepts more context: 131K tokens versus 128K.

## Snapshot

| | Command R+ | Mistral Large |
|---|---|---|
| Provider | Cohere | Mistral AI |
| Noometry Index | 32.4 | 31.9 |
| Rank | 257 | 263 |
| Context | 128K | 131K |
| Input $/M | $2.50 | $2 |
| Output $/M | $10 | $6 |
| Weights | Open | Open |

## Coding

- Command R+: 29.1 (#309)
- Mistral Large: 34.3 (#240)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| BigCodeBench Instruct | 33.8% | 30% |
| LiveBench Coding | 19.1% | 47.1% |
| LMArena Coding | 1187 | 1277 |
| BigCodeBench Complete | 41.9% | 38.3% |
| HumanEval+ | 56.7% | 62.2% |
| MBPP+ | 63.5% | 59.5% |
| SciCode | — | 36.2% |
| ALE-Bench | — | 264.7 |

## Agentic & Tool Use

- Command R+: —
- Mistral Large: 28.6 (#89)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 38.4% |

## Reasoning

- Command R+: 9.2 (#344)
- Mistral Large: 15.8 (#310)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| SimpleBench | 17.4% | 22.5% |
| LiveBench Reasoning | 24.8% | 43.5% |
| LMArena Hard Prompts | 1186 | 1257 |
| DTBench | 54.9% | 65.1% |
| LiveBench Data Analysis | 38.1% | 50.1% |
| LMCA | 5% | 16.7% |
| Epoch Capabilities Index | 119.34 | 128.52 |
| LiveBench | 31.8% | 48.4% |
| CritPt | — | 0% |
| ForecastBench | — | 57.1 |

## Math

- Command R+: 28.9 (#242)
- Mistral Large: 18.2 (#291)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| LiveBench Math | 21.3% | 42.5% |
| LMArena Math | 1188 | 1262 |
| OTIS Mock AIME 2024-2025 | — | 8.5% |
| Omni-MATH | — | 28.1% |
| MATH Level 5 | — | 50.3% |
| FrontierMath (Feb 2025 set) | — | 0.3% |

## Knowledge

- Command R+: 36.4 (#169)
- Mistral Large: 30.1 (#230)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| Vectara Hallucination Rate | 6.9% | 4.5% |
| LMArena Expert | 1174 | 1232 |
| MMLU | 69.4% | 80% |
| GPQA Diamond | — | 51.3% |
| MMLU-Pro | — | 59.9% |
| Confabulations | — | 21.4% |
| GPQA (HELM) | — | 43.5% |

## Multilingual

- Command R+: 38.6 (#227)
- Mistral Large: 40.0 (#219)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| LMArena Non-English | 1216 | 1237 |
| LMArena Chinese | 1226 | 1240 |
| LMArena French | 1209 | 1325 |
| LMArena German | 1216 | 1254 |
| LMArena Japanese | 1166 | 1188 |
| LMArena Korean | 1138 | 1202 |
| LMArena Russian | 1227 | 1257 |
| LMArena Spanish | 1189 | 1268 |

## Instruction Following

- Command R+: 60.0 (#254)
- Mistral Large: 67.9 (#191)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| LiveBench Instruction Following | 57.6% | 67.9% |
| LMArena Instruction Following | 1197 | 1249 |
| IFEval | — | 87.7% |

## Long Context

- Command R+: 37.3 (#219)
- Mistral Large: 38.3 (#199)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| LMArena Longer Query | 1230 | 1261 |

## Writing & Preference

- Command R+: 43.5 (#228)
- Mistral Large: 40.7 (#242)

| Benchmark | Command R+ | Mistral Large |
|---|---|---|
| LMArena Text | 1229 | 1266 |
| LMArena Creative Writing | 1235 | 1243 |
| LMArena Multi-Turn | 1213 | 1260 |
| LiveBench Language | 29.7% | 39.4% |
| Short-Story Creative Writing | — | 69% |
| EQ-Bench Creative Writing | — | 985 |
| WildBench | — | 80.1% |

## FAQ

### Is Command R+ better than Mistral Large?

Command R+ and Mistral Large score almost the same on the Noometry Index (32.4 vs 31.9), so choose on price, context window or the category you care about most.

### Which is cheaper, Command R+ or Mistral Large?

Mistral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Command R+ lists at $2.50 and $10.

### Is Command R+ or Mistral Large better for coding?

Mistral Large scores higher on coding benchmarks: 34.3 versus 29.1 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?

34 benchmarks have published results for both models. Command R+ has 34 scored results on Noometry and Mistral Large has 51.