# Command R vs Qwen Max

> Qwen Max is the stronger model overall, scoring 34.4 to 31.0 on the Noometry Index. Command R costs 11× less per token, which makes it the better buy when Qwen Max's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/command-r-vs-qwen-max
- Last updated: 2026-10-10
- Shared benchmarks: 17

## Summary

- They share 17 benchmarks with published results for both. Command R scores higher in 2 categories and Qwen Max in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen Max leads 24.1 to 13.3.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.60 / $6.40 for Qwen Max.
- Command R accepts more context: 128K tokens versus 33K.
- Command R has downloadable open weights; the other is API-only.

## Snapshot

| | Command R | Qwen Max |
|---|---|---|
| Provider | Cohere | Alibaba (Qwen) |
| Noometry Index | 31.0 | 34.4 |
| Rank | 267 | 226 |
| Context | 128K | 33K |
| Input $/M | $0.15 | $1.60 |
| Output $/M | $0.60 | $6.40 |
| Weights | Open | Proprietary |

## Coding

- Command R: 28.8 (#301)
- Qwen Max: 30.3 (#288)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Coding | 1170 | 1288 |
| Aider Polyglot | — | 21.8% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |

## Reasoning

- Command R: 13.3 (#329)
- Qwen Max: 24.1 (#154)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1270 |
| LiveBench Reasoning | 21.9% | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |

## Math

- Command R: 25.8 (#244)
- Qwen Max: 21.0 (#272)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Math | 1155 | 1275 |
| OTIS Mock AIME 2024-2025 | — | 16.1% |
| LiveBench Math | 19.4% | — |
| MATH Level 5 | — | 67.2% |
| FrontierMath (Feb 2025 set) | — | 1% |

## Knowledge

- Command R: 30.5 (#219)
- Qwen Max: 30.3 (#222)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Expert | 1138 | 1248 |
| GPQA Diamond | — | 56.1% |
| MMLU | 65.2% | — |

## Multilingual

- Command R: 35.9 (#240)
- Qwen Max: 42.0 (#197)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Non-English | 1174 | 1263 |
| LMArena Chinese | 1182 | 1254 |
| LMArena French | 1161 | 1329 |
| LMArena German | 1176 | 1254 |
| LMArena Japanese | 1143 | 1205 |
| LMArena Korean | 1162 | 1141 |
| LMArena Russian | 1174 | 1274 |
| LMArena Spanish | 1150 | 1290 |

## Instruction Following

- Command R: 58.3 (#256)
- Qwen Max: 66.7 (#203)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Instruction Following | 1167 | 1262 |
| LiveBench Instruction Following | 55.6% | — |

## Long Context

- Command R: 36.3 (#226)
- Qwen Max: 39.4 (#175)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Longer Query | 1198 | 1289 |
| Fiction.LiveBench | — | 66.7% |

## Writing & Preference

- Command R: 38.4 (#248)
- Qwen Max: 48.0 (#200)

| Benchmark | Command R | Qwen Max |
|---|---|---|
| LMArena Text | 1187 | 1282 |
| LMArena Creative Writing | 1170 | 1248 |
| LMArena Multi-Turn | 1163 | 1277 |
| LiveBench Language | 16.7% | — |

## FAQ

### Is Command R better than Qwen Max?

Qwen Max is the stronger model overall, scoring 34.4 to 31.0 on the Noometry Index. Command R costs 11× less per token, which makes it the better buy when Qwen Max's lead doesn't matter for your workload.

### Which is cheaper, Command R or Qwen Max?

Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen Max lists at $1.60 and $6.40.

### Is Command R or Qwen Max better for coding?

Qwen Max scores higher on coding benchmarks: 30.3 versus 28.8 in the Noometry coding category.

### Which has the bigger context window?

Command R does, with 128K tokens against 33K.

### How many benchmarks do Command R and Qwen Max share?

17 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Qwen Max has 23.