Model comparison
Command A vs Llama 3-8B
Command A is the stronger model overall, scoring 36.5 to 25.5 on the Noometry Index.
Last verified . 18 shared benchmarks.
Cohere
MetaSummary
- They share 18 benchmarks with published results for both. Command A scores higher in 7 categories and Llama 3-8B in 1 category; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Command A leads 37.1 to 7.8.
- The biggest single-benchmark swing is DTBench: 61.3% for Command A and 43.9% for Llama 3-8B.
Side by side
| Command A | Llama 3-8B | |
|---|---|---|
| Provider | Cohere | Meta |
| Noometry Index | 36.5 | 25.5 |
| Released | 2025-03-13 | 2024-04-18 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 34 |
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Category by category
Coding Llama 3-8B leads
Command A: 27.2 (#322), Llama 3-8B: 31.0 (#289)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Coding | 1330 | 1152 |
| Aider Polyglot | 12% | — |
| BigCodeBench Instruct | — | 31.9% |
| BigCodeBench Complete | — | 36.9% |
| HumanEval+ | — | 56.7% |
| MBPP+ | — | 54.8% |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Llama 3-8B: —
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Command A leads
Command A: 18.3 (#283), Llama 3-8B: 14.3 (#326)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1133 |
| DTBench | 61.3% | 43.9% |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | — | 0% |
| LMCA | 10.3% | — |
| Adversarial NLI | — | 57.3% |
| Epoch Capabilities Index | — | 116.45 |
| ForecastBench | — | 58.6 |
| WinoGrande | — | 75.7% |
Math Command A leads
Command A: 36.2 (#171), Llama 3-8B: 8.8 (#323)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Math | 1300 | 1151 |
| OTIS Mock AIME 2024-2025 | — | 1.9% |
| MATH Level 5 | — | 6.1% |
Knowledge Command A leads
Command A: 37.1 (#159), Llama 3-8B: 7.8 (#308)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Expert | 1295 | 1113 |
| GPQA Diamond | — | 26.1% |
| Vectara Hallucination Rate | 9.3% | — |
| ARC (AI2) Challenge | — | 82.8% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 82.6% |
| TriviaQA | — | 67.7% |
Multilingual Command A leads
Command A: 45.3 (#170), Llama 3-8B: 30.8 (#261)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Non-English | 1313 | 1098 |
| LMArena Chinese | 1327 | 1076 |
| LMArena French | 1351 | 1159 |
| LMArena German | 1341 | 1104 |
| LMArena Japanese | 1285 | 967 |
| LMArena Korean | 1285 | 1004 |
| LMArena Russian | 1314 | 1109 |
| LMArena Spanish | 1347 | 1173 |
Instruction Following Command A leads
Command A: 69.1 (#177), Llama 3-8B: 58.4 (#260)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Instruction Following | 1309 | 1127 |
Long Context Command A leads
Command A: 40.6 (#151), Llama 3-8B: 34.2 (#251)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Longer Query | 1334 | 1128 |
Writing & Preference Command A leads
Command A: 47.6 (#208), Llama 3-8B: 37.5 (#256)
| Benchmark | Command A | Llama 3-8B |
|---|---|---|
| LMArena Text | 1331 | 1166 |
| LMArena Creative Writing | 1319 | 1150 |
| LMArena Multi-Turn | 1339 | 1152 |
| EQ-Bench Creative Writing | 1145 | — |
Frequently asked questions
Is Command A better than Llama 3-8B?
Command A is the stronger model overall, scoring 36.5 to 25.5 on the Noometry Index.
Is Command A or Llama 3-8B better for coding?
Llama 3-8B scores higher on coding benchmarks: 31.0 versus 27.2 in the Noometry coding category.
How many benchmarks do Command A and Llama 3-8B share?
18 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Llama 3-8B has 34.