# Command A vs Llama 3.2 3B

> Command A is the stronger model overall, scoring 36.5 to 28.9 on the Noometry Index. Llama 3.2 3B costs 36× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/command-a-vs-llama-3-2-3b
- Last updated: 2026-10-10
- Shared benchmarks: 15

## Summary

- They share 15 benchmarks with published results for both. Command A scores higher in 7 categories and Llama 3.2 3B in 2 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Command A leads 47.6 to 24.7.
- The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 57.1% for Command A and 21.9% for Llama 3.2 3B.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $2.50 / $10 for Command A.
- Command A accepts more context: 256K tokens versus 131K.

## Snapshot

| | Command A | Llama 3.2 3B |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 36.5 | 28.9 |
| Rank | 215 | 321 |
| Context | 256K | 131K |
| Input $/M | $2.50 | $0.05 |
| Output $/M | $10 | $0.33 |
| Weights | Open | Open |

## Coding

- Command A: 27.2 (#322)
- Llama 3.2 3B: 27.6 (#319)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Coding | 1330 | 1098 |
| Aider Polyglot | 12% | — |
| BigCodeBench Instruct | — | 23.4% |
| BigCodeBench Complete | — | 28.3% |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- Llama 3.2 3B: 20.1 (#143)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | 21.9% |
| BALROG | — | 10.1% |

## Reasoning

- Command A: 18.3 (#283)
- Llama 3.2 3B: 21.0 (#228)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1095 |
| Kagi LLM Benchmark | 28.8% | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |

## Math

- Command A: 36.2 (#171)
- Llama 3.2 3B: 32.4 (#214)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Math | 1300 | 1126 |

## Knowledge

- Command A: 37.1 (#159)
- Llama 3.2 3B: 29.7 (#235)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Expert | 1295 | 1090 |
| Vectara Hallucination Rate | 9.3% | — |

## Multilingual

- Command A: 45.3 (#170)
- Llama 3.2 3B: 26.2 (#281)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | 1313 | 1019 |
| LMArena Chinese | 1327 | 1017 |
| LMArena German | 1341 | 1056 |
| LMArena Russian | 1314 | 949 |
| LMArena French | 1351 | — |
| LMArena Japanese | 1285 | — |
| LMArena Korean | 1285 | — |
| LMArena Spanish | 1347 | — |

## Instruction Following

- Command A: 69.1 (#177)
- Llama 3.2 3B: 56.0 (#275)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | 1309 | 1089 |

## Long Context

- Command A: 40.6 (#151)
- Llama 3.2 3B: 33.4 (#261)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | 1334 | 1100 |

## Writing & Preference

- Command A: 47.6 (#208)
- Llama 3.2 3B: 24.7 (#307)

| Benchmark | Command A | Llama 3.2 3B |
|---|---|---|
| LMArena Text | 1331 | 1110 |
| LMArena Creative Writing | 1319 | 1094 |
| EQ-Bench Creative Writing | 1145 | 595 |
| LMArena Multi-Turn | 1339 | 1105 |

## FAQ

### Is Command A better than Llama 3.2 3B?

Command A is the stronger model overall, scoring 36.5 to 28.9 on the Noometry Index. Llama 3.2 3B costs 36× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.

### Which is cheaper, Command A or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; Command A lists at $2.50 and $10.

### Is Command A or Llama 3.2 3B better for coding?

They score almost the same on coding (27.2 vs 27.6); test both on your own repository before choosing.

### Which has the bigger context window?

Command A does, with 256K tokens against 131K.

### How many benchmarks do Command A and Llama 3.2 3B share?

15 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Llama 3.2 3B has 18.