# Command A vs Llama2 70b Steerlm Chat

> Command A is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.

- Canonical page: https://noometry.com/compare/command-a-vs-llama2-70b-steerlm-chat
- Last updated: 2026-10-10
- Shared benchmarks: 9

## Summary

- They share 9 benchmarks with published results for both. Command A scores higher in 5 categories and Llama2 70b Steerlm Chat in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Command A leads 45.5 to 28.9.

## Snapshot

| | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| Provider | Cohere | NVIDIA |
| Noometry Index | 35.9 | 31.2 |
| Rank | 212 | 265 |
| Context | 256K | — |
| Input $/M | $2.50 | — |
| Output $/M | $10 | — |
| Weights | Open | Open |

## Coding

- Command A: 26.8 (#317)
- Llama2 70b Steerlm Chat: 29.3 (#295)

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1331 | 1025 |
| Aider Polyglot | 12% | — |

## Agentic & Tool Use

- Command A: 35.7 (#36)
- Llama2 70b Steerlm Chat: —

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |

## Reasoning

- Command A: 17.7 (#276)
- Llama2 70b Steerlm Chat: 19.1 (#245)

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1047 |
| Kagi LLM Benchmark | 28.8% | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |

## Math

- Command A: 33.5 (#172)
- Llama2 70b Steerlm Chat: 28.8 (#223)

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1300 | 1072 |

## Knowledge

- Command A: 36.5 (#157)
- Llama2 70b Steerlm Chat: —

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |

## Multilingual

- Command A: 45.5 (#166)
- Llama2 70b Steerlm Chat: 28.9 (#265)

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1313 | 1064 |
| LMArena Chinese | 1327 | — |
| LMArena French | 1352 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1283 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1346 | — |

## Instruction Following

- Command A: 69.3 (#172)
- Llama2 70b Steerlm Chat: 54.5 (#274)

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1309 | 1061 |

## Long Context

- Command A: 40.6 (#147)
- Llama2 70b Steerlm Chat: 30.4 (#283)

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1334 | 998 |

## Writing & Preference

- Command A: 47.8 (#204)
- Llama2 70b Steerlm Chat: 31.8 (#278)

| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1331 | 1098 |
| LMArena Creative Writing | 1319 | 1091 |
| LMArena Multi-Turn | 1338 | 1058 |
| EQ-Bench Creative Writing | 1145 | — |

## FAQ

### Is Command A better than Llama2 70b Steerlm Chat?

Command A is the stronger model overall, scoring 35.9 to 31.2 on the Noometry Index.

### Is Command A or Llama2 70b Steerlm Chat better for coding?

Llama2 70b Steerlm Chat scores higher on coding benchmarks: 29.3 versus 26.8 in the Noometry coding category.

### How many benchmarks do Command A and Llama2 70b Steerlm Chat share?

9 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Llama2 70b Steerlm Chat has 9.