Model comparison
Command A vs Llama2 70b Steerlm Chat
Command A is the stronger model overall, scoring 36.5 to 31.8 on the Noometry Index.
Last verified . 9 shared benchmarks.
Cohere
NVIDIASummary
- 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 45.3 to 28.8.
Side by side
| Command A | Llama2 70b Steerlm Chat | |
|---|---|---|
| Provider | Cohere | NVIDIA |
| Noometry Index | 36.5 | 31.8 |
| Released | 2025-03-13 | — |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 9 |
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Category by category
Coding Llama2 70b Steerlm Chat leads
Command A: 27.2 (#322), Llama2 70b Steerlm Chat: 29.9 (#300)
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Coding | 1330 | 1025 |
| Aider Polyglot | 12% | — |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Llama2 70b Steerlm Chat: —
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Llama2 70b Steerlm Chat leads
Command A: 18.3 (#283), Llama2 70b Steerlm Chat: 20.0 (#246)
| 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 leads
Command A: 36.2 (#171), Llama2 70b Steerlm Chat: 31.3 (#226)
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Math | 1300 | 1072 |
Knowledge Not comparable
Command A: 37.1 (#159), Llama2 70b Steerlm Chat: —
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
Multilingual Command A leads
Command A: 45.3 (#170), Llama2 70b Steerlm Chat: 28.8 (#270)
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Non-English | 1313 | 1063 |
| 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 leads
Command A: 69.1 (#177), Llama2 70b Steerlm Chat: 54.2 (#279)
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Instruction Following | 1309 | 1060 |
Long Context Command A leads
Command A: 40.6 (#151), Llama2 70b Steerlm Chat: 30.4 (#288)
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Longer Query | 1334 | 998 |
Writing & Preference Command A leads
Command A: 47.6 (#208), Llama2 70b Steerlm Chat: 31.6 (#283)
| Benchmark | Command A | Llama2 70b Steerlm Chat |
|---|---|---|
| LMArena Text | 1331 | 1098 |
| LMArena Creative Writing | 1319 | 1091 |
| LMArena Multi-Turn | 1339 | 1058 |
| EQ-Bench Creative Writing | 1145 | — |
Frequently asked questions
Is Command A better than Llama2 70b Steerlm Chat?
Command A is the stronger model overall, scoring 36.5 to 31.8 on the Noometry Index.
Is Command A or Llama2 70b Steerlm Chat better for coding?
Llama2 70b Steerlm Chat scores higher on coding benchmarks: 29.9 versus 27.2 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.