# Command A vs Llama 2-13B

> Command A is the stronger model overall, scoring 36.5 to 29.6 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-llama-2-13b
- Last updated: 2026-10-10
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Command A scores higher in 7 categories and Llama 2-13B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Command A leads 45.3 to 26.5.
- The biggest single-benchmark swing is DTBench: 61.3% for Command A and 42.2% for Llama 2-13B.

## Snapshot

| | Command A | Llama 2-13B |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 36.5 | 29.6 |
| Rank | 215 | 309 |
| Context | 256K | — |
| Input $/M | $2.50 | — |
| Output $/M | $10 | — |
| Weights | Open | Open |

## Coding

- Command A: 27.2 (#322)
- Llama 2-13B: 30.9 (#291)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Coding | 1330 | 1062 |
| Aider Polyglot | 12% | — |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- Llama 2-13B: —

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 18.3 (#283)
- Llama 2-13B: 12.8 (#337)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1051 |
| DTBench | 61.3% | 42.2% |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | — | 0% |
| LMCA | 10.3% | — |
| BIG-Bench Hard | — | 58.2% |
| Epoch Capabilities Index | — | 106.17 |
| HellaSwag | — | 80.7% |
| LAMBADA | — | 76.5% |
| PIQA | — | 80.8% |
| WinoGrande | — | 72.8% |

## Math

- Command A: 36.2 (#171)
- Llama 2-13B: 31.1 (#229)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Math | 1300 | 1065 |
| GSM8K | — | 36.9% |

## Knowledge

- Command A: 37.1 (#159)
- Llama 2-13B: 28.1 (#249)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Expert | 1295 | 1030 |
| Vectara Hallucination Rate | 9.3% | — |
| ARC (AI2) Challenge | — | 60.3% |
| BoolQ | — | 82.4% |
| MMLU | — | 55.6% |
| OpenBookQA | — | 57% |
| TriviaQA | — | 79.6% |

## Multimodal

- Command A: —
- Llama 2-13B: —

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| ScienceQA | — | 55.8% |

## Multilingual

- Command A: 45.3 (#170)
- Llama 2-13B: 26.5 (#279)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Non-English | 1313 | 1024 |
| LMArena Chinese | 1327 | 1001 |
| LMArena French | 1351 | 1044 |
| LMArena German | 1341 | 1009 |
| LMArena Japanese | 1285 | 894 |
| LMArena Korean | 1285 | 953 |
| LMArena Russian | 1314 | 1055 |
| LMArena Spanish | 1347 | 1087 |

## Instruction Following

- Command A: 69.1 (#177)
- Llama 2-13B: 53.3 (#287)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Instruction Following | 1309 | 1045 |

## Long Context

- Command A: 40.6 (#151)
- Llama 2-13B: 32.3 (#269)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Longer Query | 1334 | 1064 |

## Writing & Preference

- Command A: 47.6 (#208)
- Llama 2-13B: 29.8 (#289)

| Benchmark | Command A | Llama 2-13B |
|---|---|---|
| LMArena Text | 1331 | 1084 |
| LMArena Creative Writing | 1319 | 1047 |
| LMArena Multi-Turn | 1339 | 1050 |
| EQ-Bench Creative Writing | 1145 | — |

## FAQ

### Is Command A better than Llama 2-13B?

Command A is the stronger model overall, scoring 36.5 to 29.6 on the Noometry Index.

### Is Command A or Llama 2-13B better for coding?

Llama 2-13B scores higher on coding benchmarks: 30.9 versus 27.2 in the Noometry coding category.

### How many benchmarks do Command A and Llama 2-13B share?

18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Llama 2-13B has 32.