# Command A vs Llama 3.1-70B

> Command A is the stronger model overall, scoring 36.5 to 29.6 on the Noometry Index. Llama 3.1-70B costs 11× 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-3-1-70b
- Last updated: 2026-10-11
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Command A scores higher in 7 categories and Llama 3.1-70B in 2 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Command A leads 36.2 to 13.5.
- Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $2.50 / $10 for Command A.
- Command A accepts more context: 256K tokens versus 128K.

## Snapshot

| | Command A | Llama 3.1-70B |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 36.5 | 29.6 |
| Rank | 215 | 308 |
| Context | 256K | 128K |
| Input $/M | $2.50 | $0.40 |
| Output $/M | $10 | $0.40 |
| Weights | Open | Open |

## Coding

- Command A: 27.2 (#322)
- Llama 3.1-70B: 30.3 (#296)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Coding | 1330 | 1260 |
| Aider Polyglot | 12% | — |
| WeirdML | — | 9% |
| BigCodeBench Instruct | — | 46.1% |
| BigCodeBench Complete | — | 54.8% |

## Agentic & Tool Use

- Command A: 35.9 (#40)
- Llama 3.1-70B: 25.1 (#112)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
| TheAgentCompany | — | 6.9% |
| BALROG | — | 27.9% |

## Reasoning

- Command A: 18.3 (#283)
- Llama 3.1-70B: 21.6 (#220)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1241 |
| DTBench | 61.3% | 60% |
| LMCA | 10.3% | 14.8% |
| Kagi LLM Benchmark | 28.8% | — |
| Epoch Capabilities Index | — | 125.92 |

## Math

- Command A: 36.2 (#171)
- Llama 3.1-70B: 13.5 (#304)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Math | 1300 | 1252 |
| OTIS Mock AIME 2024-2025 | — | 3.6% |
| Omni-MATH | — | 21% |
| MATH Level 5 | — | 36.7% |

## Knowledge

- Command A: 37.1 (#159)
- Llama 3.1-70B: 24.2 (#269)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Expert | 1295 | 1209 |
| GPQA Diamond | — | 44.2% |
| MMLU-Pro | — | 65.3% |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | — | 42.6% |
| MMLU | — | 80.1% |

## Multilingual

- Command A: 45.3 (#170)
- Llama 3.1-70B: 38.8 (#225)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Non-English | 1313 | 1219 |
| LMArena Chinese | 1327 | 1215 |
| LMArena French | 1351 | 1261 |
| LMArena German | 1341 | 1222 |
| LMArena Japanese | 1285 | 1132 |
| LMArena Korean | 1285 | 1140 |
| LMArena Russian | 1314 | 1234 |
| LMArena Spanish | 1347 | 1253 |

## Instruction Following

- Command A: 69.1 (#177)
- Llama 3.1-70B: 65.3 (#223)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Instruction Following | 1309 | 1231 |
| IFEval | — | 82.1% |

## Long Context

- Command A: 40.6 (#151)
- Llama 3.1-70B: 37.6 (#214)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Longer Query | 1334 | 1241 |

## Writing & Preference

- Command A: 47.6 (#208)
- Llama 3.1-70B: 35.4 (#267)

| Benchmark | Command A | Llama 3.1-70B |
|---|---|---|
| LMArena Text | 1331 | 1261 |
| LMArena Creative Writing | 1319 | 1232 |
| EQ-Bench Creative Writing | 1145 | 784 |
| LMArena Multi-Turn | 1339 | 1256 |
| WildBench | — | 75.8% |

## FAQ

### Is Command A better than Llama 3.1-70B?

Command A is the stronger model overall, scoring 36.5 to 29.6 on the Noometry Index. Llama 3.1-70B costs 11× 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 3.1-70B?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; Command A lists at $2.50 and $10.

### Is Command A or Llama 3.1-70B better for coding?

Llama 3.1-70B scores higher on coding benchmarks: 30.3 versus 27.2 in the Noometry coding category.

### Which has the bigger context window?

Command A does, with 256K tokens against 128K.

### How many benchmarks do Command A and Llama 3.1-70B share?

20 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Llama 3.1-70B has 35.