# Command R vs DeepSeek-R1-Distill-Llama-70B

> DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.4 to 31.0 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-r-vs-deepseek-r1-distill-llama-70b
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Command R scores higher in 0 categories and DeepSeek-R1-Distill-Llama-70B in 6 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek-R1-Distill-Llama-70B leads 24.1 to 13.3.
- The biggest single-benchmark swing is LiveBench Reasoning: 21.9% for Command R and 67.6% for DeepSeek-R1-Distill-Llama-70B.

## Snapshot

| | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 31.0 | 37.4 |
| Rank | 267 | 187 |
| Context | 128K | — |
| Input $/M | $0.15 | — |
| Output $/M | $0.60 | — |
| Weights | Open | Open |

## Coding

- Command R: 28.8 (#301)
- DeepSeek-R1-Distill-Llama-70B: 36.3 (#197)

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| BigCodeBench Instruct | 37.1% | 35.3% |
| LiveBench Coding | 17.9% | 51.6% |
| BigCodeBench Complete | 45.2% | 49.9% |
| LMArena Coding | 1170 | — |

## Reasoning

- Command R: 13.3 (#329)
- DeepSeek-R1-Distill-Llama-70B: 24.1 (#150)

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LiveBench Reasoning | 21.9% | 67.6% |
| LiveBench Data Analysis | 33.3% | 55.9% |
| LiveBench | 27.5% | 54.5% |
| Kagi LLM Benchmark | — | 52.3% |
| LMArena Hard Prompts | 1164 | — |
| DTBench | 46.4% | — |
| LMCA | 9.2% | — |

## Math

- Command R: 25.8 (#244)
- DeepSeek-R1-Distill-Llama-70B: 34.3 (#161)

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LiveBench Math | 19.4% | 58.1% |
| OTIS Mock AIME 2024-2025 | — | 51.4% |
| LMArena Math | 1155 | — |
| MATH Level 5 | — | 89.9% |

## Knowledge

- Command R: 30.5 (#219)
- DeepSeek-R1-Distill-Llama-70B: 30.7 (#216)

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| GPQA Diamond | — | 55.7% |
| LMArena Expert | 1138 | — |
| MMLU | 65.2% | — |

## Multilingual

- Command R: 35.9 (#240)
- DeepSeek-R1-Distill-Llama-70B: —

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LMArena Non-English | 1174 | — |
| LMArena Chinese | 1182 | — |
| LMArena French | 1161 | — |
| LMArena German | 1176 | — |
| LMArena Japanese | 1143 | — |
| LMArena Korean | 1162 | — |
| LMArena Russian | 1174 | — |
| LMArena Spanish | 1150 | — |

## Instruction Following

- Command R: 58.3 (#256)
- DeepSeek-R1-Distill-Llama-70B: 68.3 (#185)

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LiveBench Instruction Following | 55.6% | 69.9% |
| LMArena Instruction Following | 1167 | — |

## Long Context

- Command R: 36.3 (#226)
- DeepSeek-R1-Distill-Llama-70B: —

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LMArena Longer Query | 1198 | — |

## Writing & Preference

- Command R: 38.4 (#248)
- DeepSeek-R1-Distill-Llama-70B: 49.0 (#189)

| Benchmark | Command R | DeepSeek-R1-Distill-Llama-70B |
|---|---|---|
| LiveBench Language | 16.7% | 23.8% |
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1170 | — |
| LMArena Multi-Turn | 1163 | — |

## FAQ

### Is Command R better than DeepSeek-R1-Distill-Llama-70B?

DeepSeek-R1-Distill-Llama-70B is the stronger model overall, scoring 37.4 to 31.0 on the Noometry Index.

### Is Command R or DeepSeek-R1-Distill-Llama-70B better for coding?

DeepSeek-R1-Distill-Llama-70B scores higher on coding benchmarks: 36.3 versus 28.8 in the Noometry coding category.

### How many benchmarks do Command R and DeepSeek-R1-Distill-Llama-70B share?

9 benchmarks have published results for both models. Command R has 29 scored results on Noometry and DeepSeek-R1-Distill-Llama-70B has 13.