Model comparison
Command A vs Qwen1.5 4b Chat
Command A is the stronger model overall, scoring 36.5 to 28.8 on the Noometry Index.
Last verified . 13 shared benchmarks.
Cohere
Alibaba (Qwen)Summary
- They share 13 benchmarks with published results for both. Command A scores higher in 6 categories and Qwen1.5 4b Chat in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Command A leads 47.6 to 23.8.
Side by side
| Command A | Qwen1.5 4b Chat | |
|---|---|---|
| Provider | Cohere | Alibaba (Qwen) |
| Noometry Index | 36.5 | 28.8 |
| 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 | 13 |
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Category by category
Coding Qwen1.5 4b Chat leads
Command A: 27.2 (#322), Qwen1.5 4b Chat: 29.1 (#308)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Coding | 1330 | 999 |
| Aider Polyglot | 12% | — |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Qwen1.5 4b Chat: —
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Too close to call
Command A: 18.3 (#283), Qwen1.5 4b Chat: 18.5 (#279)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Hard Prompts | 1326 | 976 |
| Kagi LLM Benchmark | 28.8% | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
Math Command A leads
Command A: 36.2 (#171), Qwen1.5 4b Chat: 30.4 (#234)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Math | 1300 | 1026 |
Knowledge Command A leads
Command A: 37.1 (#159), Qwen1.5 4b Chat: 26.7 (#255)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Expert | 1295 | 980 |
| Vectara Hallucination Rate | 9.3% | — |
Multilingual Command A leads
Command A: 45.3 (#170), Qwen1.5 4b Chat: 24.1 (#290)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Non-English | 1313 | 979 |
| LMArena Chinese | 1327 | 1024 |
| LMArena German | 1341 | 902 |
| LMArena Russian | 1314 | 952 |
| LMArena French | 1351 | — |
| LMArena Japanese | 1285 | — |
| LMArena Korean | 1285 | — |
| LMArena Spanish | 1347 | — |
Instruction Following Command A leads
Command A: 69.1 (#177), Qwen1.5 4b Chat: 49.0 (#300)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Instruction Following | 1309 | 978 |
Long Context Command A leads
Command A: 40.6 (#151), Qwen1.5 4b Chat: 30.1 (#290)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Longer Query | 1334 | 988 |
Writing & Preference Command A leads
Command A: 47.6 (#208), Qwen1.5 4b Chat: 23.8 (#309)
| Benchmark | Command A | Qwen1.5 4b Chat |
|---|---|---|
| LMArena Text | 1331 | 997 |
| LMArena Creative Writing | 1319 | 969 |
| LMArena Multi-Turn | 1339 | 977 |
| EQ-Bench Creative Writing | 1145 | — |
Frequently asked questions
Is Command A better than Qwen1.5 4b Chat?
Command A is the stronger model overall, scoring 36.5 to 28.8 on the Noometry Index.
Is Command A or Qwen1.5 4b Chat better for coding?
Qwen1.5 4b Chat scores higher on coding benchmarks: 29.1 versus 27.2 in the Noometry coding category.
How many benchmarks do Command A and Qwen1.5 4b Chat share?
13 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Qwen1.5 4b Chat has 13.