# Command R vs DeepSeek-V3.1

> DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 31.4 on the Noometry Index. Command R costs 1.6× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/command-r-vs-deepseek-v3-1
- Last updated: 2026-10-11
- Shared benchmarks: 19

## Summary

- They share 19 benchmarks with published results for both. Command R scores higher in 1 category and DeepSeek-V3.1 in 7 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.3 to 38.2.
- The biggest single-benchmark swing is DTBench: 46.4% for Command R and 82.7% for DeepSeek-V3.1.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- DeepSeek-V3.1 accepts more context: 164K tokens versus 128K.

## Snapshot

| | Command R | DeepSeek-V3.1 |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 31.4 | 42.8 |
| Rank | 272 | 108 |
| Context | 128K | 164K |
| Input $/M | $0.15 | $0.25 |
| Output $/M | $0.60 | $0.95 |
| Weights | Open | Open |

## Coding

- Command R: 29.3 (#306)
- DeepSeek-V3.1: 40.3 (#144)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Coding | 1169 | 1417 |
| WeirdML | — | 38.4% |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| BigCodeBench Complete | 45.2% | — |

## Reasoning

- Command R: 13.8 (#331)
- DeepSeek-V3.1: 27.9 (#110)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Hard Prompts | 1164 | 1417 |
| DTBench | 46.4% | 82.7% |
| LMCA | 9.2% | 24.3% |
| SimpleBench | — | 40% |
| Kagi LLM Benchmark | — | 53.2% |
| LiveBench Reasoning | 21.9% | — |
| LiveBench Data Analysis | 33.3% | — |
| Epoch Capabilities Index | — | 139.92 |
| ForecastBench | — | 58 |
| LiveBench | 27.5% | — |

## Math

- Command R: 28.0 (#246)
- DeepSeek-V3.1: 38.9 (#122)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Math | 1155 | 1420 |
| LiveBench Math | 19.4% | — |

## Knowledge

- Command R: 31.0 (#221)
- DeepSeek-V3.1: 43.7 (#90)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Expert | 1138 | 1405 |
| Vectara Hallucination Rate | — | 5.5% |
| MMLU | 65.2% | — |

## Multilingual

- Command R: 35.7 (#245)
- DeepSeek-V3.1: 51.6 (#106)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Non-English | 1174 | 1400 |
| LMArena Chinese | 1182 | 1469 |
| LMArena French | 1162 | 1447 |
| LMArena German | 1176 | 1411 |
| LMArena Japanese | 1143 | 1378 |
| LMArena Korean | 1163 | 1337 |
| LMArena Russian | 1174 | 1405 |
| LMArena Spanish | 1151 | 1431 |

## Instruction Following

- Command R: 58.1 (#261)
- DeepSeek-V3.1: 73.9 (#110)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Instruction Following | 1167 | 1400 |
| LiveBench Instruction Following | 55.6% | — |

## Long Context

- Command R: 36.3 (#231)
- DeepSeek-V3.1: 36.3 (#232)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Longer Query | 1198 | 1422 |
| Fiction.LiveBench | — | 52.8% |

## Writing & Preference

- Command R: 38.2 (#254)
- DeepSeek-V3.1: 60.3 (#98)

| Benchmark | Command R | DeepSeek-V3.1 |
|---|---|---|
| LMArena Text | 1187 | 1420 |
| LMArena Creative Writing | 1170 | 1401 |
| LMArena Multi-Turn | 1163 | 1408 |
| EQ-Bench Creative Writing | — | 1436 |
| LiveBench Language | 16.7% | — |

## FAQ

### Is Command R better than DeepSeek-V3.1?

DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 31.4 on the Noometry Index. Command R costs 1.6× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.

### Which is cheaper, Command R or DeepSeek-V3.1?

Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.

### Is Command R or DeepSeek-V3.1 better for coding?

DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 29.3 in the Noometry coding category.

### Which has the bigger context window?

DeepSeek-V3.1 does, with 164K tokens against 128K.

### How many benchmarks do Command R and DeepSeek-V3.1 share?

19 benchmarks have published results for both models. Command R has 29 scored results on Noometry and DeepSeek-V3.1 has 27.