Model comparison
Command A vs Qwen2.5-Coder (1.5B)
Command A has enough public results to be ranked (#212); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
Last verified . 0 shared benchmarks.
Cohere
Alibaba (Qwen)Side by side
| Command A | Qwen2.5-Coder (1.5B) | |
|---|---|---|
| Provider | Cohere | Alibaba (Qwen) |
| Noometry Index | 35.9 | — |
| Released | 2025-03-13 | 2024-09-18 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 6 |
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Category by category
Coding Not comparable
Command A: 26.8 (#317), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Aider Polyglot | 12% | — |
| LMArena Coding | 1331 | — |
Agentic & Tool Use Not comparable
Command A: 35.7 (#36), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Not comparable
Command A: 17.7 (#276), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Kagi LLM Benchmark | 28.8% | — |
| LMArena Hard Prompts | 1326 | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| Epoch Capabilities Index | — | 112.93 |
| HellaSwag | — | 76.8% |
| WinoGrande | — | 72.9% |
Math Not comparable
Command A: 33.5 (#172), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Math | 1300 | — |
| GSM8K | — | 86.7% |
Knowledge Not comparable
Command A: 36.5 (#157), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
| ARC (AI2) Challenge | — | 60.9% |
| MMLU | — | 68% |
Multilingual Not comparable
Command A: 45.5 (#166), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| LMArena French | 1352 | — |
| LMArena German | 1341 | — |
| LMArena Japanese | 1283 | — |
| LMArena Korean | 1285 | — |
| LMArena Russian | 1314 | — |
| LMArena Spanish | 1346 | — |
Instruction Following Not comparable
Command A: 69.3 (#172), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#147), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Not comparable
Command A: 47.8 (#204), Qwen2.5-Coder (1.5B): —
| Benchmark | Command A | Qwen2.5-Coder (1.5B) |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| LMArena Multi-Turn | 1338 | — |
Frequently asked questions
Is Command A better than Qwen2.5-Coder (1.5B)?
Command A has enough public results to be ranked (#212); Qwen2.5-Coder (1.5B) does not yet, so treat this comparison as directional.
How many benchmarks do Command A and Qwen2.5-Coder (1.5B) share?
0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Qwen2.5-Coder (1.5B) has 6.