# Command A vs DeepSeek-R1-Distill-Qwen-14B

> Command A is the stronger model overall, scoring 36.5 to 32.7 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-deepseek-r1-distill-qwen-14b
- Last updated: 2026-10-12
- Shared benchmarks: 0

## Summary

- The widest gap is in knowledge, where Command A leads 37.1 to 24.1.

## Snapshot

| | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Provider | Cohere | DeepSeek |
| Noometry Index | 36.5 | 32.7 |
| Rank | 215 | 252 |
| Context | 256K | — |
| Input $/M | $2.50 | — |
| Output $/M | $10 | — |
| Weights | Open | Open |

## Coding

- Command A: 27.2 (#322)
- DeepSeek-R1-Distill-Qwen-14B: 36.9 (#200)

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Aider Polyglot | 12% | — |
| BigCodeBench Instruct | — | 38.1% |
| LMArena Coding | 1330 | — |
| BigCodeBench Complete | — | 48.4% |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- DeepSeek-R1-Distill-Qwen-14B: —

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 18.3 (#283)
- DeepSeek-R1-Distill-Qwen-14B: 19.2 (#263)

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | — | 1% |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| Epoch Capabilities Index | — | 135.43 |

## Math

- Command A: 36.2 (#171)
- DeepSeek-R1-Distill-Qwen-14B: 35.5 (#184)

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 50.6% |
| LMArena Math | 1300 | — |
| MATH Level 5 | — | 87.1% |

## Knowledge

- Command A: 37.1 (#159)
- DeepSeek-R1-Distill-Qwen-14B: 24.1 (#270)

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| GPQA Diamond | — | 44.7% |
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |

## Multilingual

- Command A: 45.3 (#170)
- DeepSeek-R1-Distill-Qwen-14B: —

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| LMArena French | 1351 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1285 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1347 | — |

## Instruction Following

- Command A: 69.1 (#177)
- DeepSeek-R1-Distill-Qwen-14B: —

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1309 | — |

## Long Context

- Command A: 40.6 (#151)
- DeepSeek-R1-Distill-Qwen-14B: —

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1334 | — |

## Writing & Preference

- Command A: 47.6 (#208)
- DeepSeek-R1-Distill-Qwen-14B: —

| Benchmark | Command A | DeepSeek-R1-Distill-Qwen-14B |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1339 | — |

## FAQ

### Is Command A better than DeepSeek-R1-Distill-Qwen-14B?

Command A is the stronger model overall, scoring 36.5 to 32.7 on the Noometry Index.

### Is Command A or DeepSeek-R1-Distill-Qwen-14B better for coding?

DeepSeek-R1-Distill-Qwen-14B scores higher on coding benchmarks: 36.9 versus 27.2 in the Noometry coding category.

### How many benchmarks do Command A and DeepSeek-R1-Distill-Qwen-14B share?

0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and DeepSeek-R1-Distill-Qwen-14B has 7.