Model comparison
Command A vs Qwen-14B
Command A is the stronger model overall, scoring 36.5 to 31.4 on the Noometry Index.
Last verified . 10 shared benchmarks.
Cohere
Alibaba (Qwen)Summary
- They share 10 benchmarks with published results for both. Command A scores higher in 5 categories and Qwen-14B in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Command A leads 47.6 to 27.6.
Side by side
| Command A | Qwen-14B | |
|---|---|---|
| Provider | Cohere | Alibaba (Qwen) |
| Noometry Index | 36.5 | 31.4 |
| Released | 2025-03-13 | 2023-09-24 |
| Weights | Open | Open |
| Context window | 256K | — |
| Max output | 8K | — |
| Input $ / M tokens | $2.50 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 24 | 18 |
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Category by category
Coding Qwen-14B leads
Command A: 27.2 (#322), Qwen-14B: 31.2 (#288)
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| LMArena Coding | 1330 | 1071 |
| Aider Polyglot | 12% | — |
Agentic & Tool Use Not comparable
Command A: 35.9 (#40), Qwen-14B: —
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
Reasoning Qwen-14B leads
Command A: 18.3 (#283), Qwen-14B: 19.6 (#257)
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| LMArena Hard Prompts | 1326 | 1027 |
| Kagi LLM Benchmark | 28.8% | — |
| DTBench | 61.3% | — |
| LMCA | 10.3% | — |
| BIG-Bench Hard | — | 55% |
| Epoch Capabilities Index | — | 113.03 |
| LAMBADA | — | 71.1% |
| PIQA | — | 79.9% |
Math Command A leads
Command A: 36.2 (#171), Qwen-14B: 31.2 (#227)
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| LMArena Math | 1300 | 1068 |
| GSM8K | — | 61.3% |
Knowledge Not comparable
Command A: 37.1 (#159), Qwen-14B: —
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| Vectara Hallucination Rate | 9.3% | — |
| LMArena Expert | 1295 | — |
| ARC (AI2) Challenge | — | 84.4% |
| BoolQ | — | 86.2% |
| MMLU | — | 66.3% |
Multilingual Command A leads
Command A: 45.3 (#170), Qwen-14B: 27.5 (#275)
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| LMArena Non-English | 1313 | 1041 |
| LMArena Chinese | 1327 | 1077 |
| 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), Qwen-14B: 52.4 (#289)
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| LMArena Instruction Following | 1309 | 1031 |
Long Context Command A leads
Command A: 40.6 (#151), Qwen-14B: 31.3 (#280)
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| LMArena Longer Query | 1334 | 1028 |
Writing & Preference Command A leads
Command A: 47.6 (#208), Qwen-14B: 27.6 (#299)
| Benchmark | Command A | Qwen-14B |
|---|---|---|
| LMArena Text | 1331 | 1051 |
| LMArena Creative Writing | 1319 | 1028 |
| LMArena Multi-Turn | 1339 | 1022 |
| EQ-Bench Creative Writing | 1145 | — |
Frequently asked questions
Is Command A better than Qwen-14B?
Command A is the stronger model overall, scoring 36.5 to 31.4 on the Noometry Index.
Is Command A or Qwen-14B better for coding?
Qwen-14B scores higher on coding benchmarks: 31.2 versus 27.2 in the Noometry coding category.
How many benchmarks do Command A and Qwen-14B share?
10 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Qwen-14B has 18.