Model comparison
Command A vs Llama 2-7B
Command A is the stronger model overall, scoring 35.9 to 28.6 on the Noometry Index.
Last verified . 15 shared benchmarks.
Cohere
MetaSummary
- They share 15 benchmarks with published results for both. Command A scores higher in 7 categories and Llama 2-7B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in multilingual, where Command A leads 45.5 to 23.9.
Side by side
| Command A | Llama 2-7B | |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 35.9 | 28.6 |
| Released | 2025-03-13 | 2023-07-18 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 29 |
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Category by category
Coding Llama 2-7B leads
Command A: 26.8 (#317), Llama 2-7B: 28.7 (#302)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1331 | 1002 |
| Aider Polyglot | 12% | — |
Agentic & Tool Use Not comparable
Command A: 35.7 (#36), Llama 2-7B: —
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Command A leads
Command A: 17.7 (#276), Llama 2-7B: 15.1 (#309)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1009 |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | — | 0% |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| BIG-Bench Hard | — | 39.2% |
| Epoch Capabilities Index | — | 98.54 |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math Command A leads
Command A: 33.5 (#172), Llama 2-7B: 28.2 (#231)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Math | 1300 | 1042 |
| GSM8K | — | 16.7% |
Knowledge Command A leads
Command A: 36.5 (#157), Llama 2-7B: 27.7 (#243)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1295 | 1036 |
| Vectara Hallucination Rate | 9.3% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
Command A: —, Llama 2-7B: —
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| ScienceQA | — | 43.1% |
Multilingual Command A leads
Command A: 45.5 (#166), Llama 2-7B: 23.9 (#288)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1313 | 973 |
| LMArena Chinese | 1327 | 973 |
| LMArena French | 1352 | 969 |
| LMArena German | 1341 | 978 |
| LMArena Russian | 1314 | 995 |
| LMArena Spanish | 1346 | 1007 |
| LMArena Japanese | 1283 | — |
| LMArena Korean | 1285 | — |
Instruction Following Command A leads
Command A: 69.3 (#172), Llama 2-7B: 51.0 (#293)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1309 | 1006 |
Long Context Command A leads
Command A: 40.6 (#147), Llama 2-7B: 30.4 (#282)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1334 | 999 |
Writing & Preference Command A leads
Command A: 47.8 (#204), Llama 2-7B: 28.1 (#293)
| Benchmark | Command A | Llama 2-7B |
|---|---|---|
| LMArena Text | 1331 | 1053 |
| LMArena Creative Writing | 1319 | 1033 |
| LMArena Multi-Turn | 1338 | 1029 |
| EQ-Bench Creative Writing | 1145 | — |
Frequently asked questions
Is Command A better than Llama 2-7B?
Command A is the stronger model overall, scoring 35.9 to 28.6 on the Noometry Index.
Is Command A or Llama 2-7B better for coding?
Llama 2-7B scores higher on coding benchmarks: 28.7 versus 26.8 in the Noometry coding category.
How many benchmarks do Command A and Llama 2-7B share?
15 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Llama 2-7B has 29.