Model comparison
Command A vs Qwen2.5 7B Instruct
Command A is the stronger model overall, scoring 36.5 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 14× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. Command A scores higher in 5 categories and Qwen2.5 7B Instruct in 2 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in math, where Command A leads 36.2 to 12.6.
- The biggest single-benchmark swing is DTBench: 61.3% for Command A and 47.7% for Qwen2.5 7B Instruct.
- Qwen2.5 7B Instruct is cheaper at $0.17 / $0.70 per million input/output tokens, against $2.50 / $10 for Command A.
- Command A accepts more context: 256K tokens versus 131K.
Side by side
| Command A | Qwen2.5 7B Instruct | |
|---|---|---|
| Provider | Cohere | Alibaba (Qwen) |
| Noometry Index | 36.5 | 29.0 |
| Released | 2025-03-13 | 2024-09 |
| Weights | Open | Open |
| Context window | 256K | 131K |
| Max output | 8K | 8K |
| Input $ / M tokens | $2.50 | $0.17 |
| Output $ / M tokens | $10 | $0.70 |
| Results tracked | 24 | 15 |
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Category by category
Coding Qwen2.5 7B Instruct leads
Command A: 27.2 (#322), Qwen2.5 7B Instruct: 36.5 (#208)
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| Aider Polyglot | 12% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1330 | — |
| BigCodeBench Complete | — | 46.1% |
Agentic & Tool Use Command A leads
Command A: 35.9 (#40), Qwen2.5 7B Instruct: 23.8 (#124)
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 57.1% | — |
| BALROG | — | 7.8% |
Reasoning Command A leads
Command A: 18.3 (#283), Qwen2.5 7B Instruct: 14.8 (#322)
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| DTBench | 61.3% | 47.7% |
| LMCA | 10.3% | 6.4% |
| Kagi LLM Benchmark | 28.8% | — |
| Chess Puzzles | — | 0% |
| LMArena Hard Prompts | 1326 | — |
| Epoch Capabilities Index | — | 118.51 |
Math Command A leads
Command A: 36.2 (#171), Qwen2.5 7B Instruct: 12.6 (#306)
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | — | 2.5% |
| Omni-MATH | — | 29.4% |
| LMArena Math | 1300 | — |
Knowledge Command A leads
Command A: 37.1 (#159), Qwen2.5 7B Instruct: 17.0 (#286)
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| GPQA Diamond | — | 35.5% |
| MMLU-Pro | — | 53.9% |
| Vectara Hallucination Rate | 9.3% | — |
| GPQA (HELM) | — | 34.1% |
| LMArena Expert | 1295 | — |
| MMLU | — | 72.9% |
Multilingual Not comparable
Command A: 45.3 (#170), Qwen2.5 7B Instruct: —
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Non-English | 1313 | — |
| LMArena Chinese | 1327 | — |
| 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), Qwen2.5 7B Instruct: 63.2 (#231)
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| IFEval | — | 74.1% |
| LMArena Instruction Following | 1309 | — |
Long Context Not comparable
Command A: 40.6 (#151), Qwen2.5 7B Instruct: —
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Longer Query | 1334 | — |
Writing & Preference Qwen2.5 7B Instruct leads
Command A: 47.6 (#208), Qwen2.5 7B Instruct: 48.8 (#195)
| Benchmark | Command A | Qwen2.5 7B Instruct |
|---|---|---|
| LMArena Text | 1331 | — |
| LMArena Creative Writing | 1319 | — |
| EQ-Bench Creative Writing | 1145 | — |
| WildBench | — | 73.1% |
| LMArena Multi-Turn | 1339 | — |
Frequently asked questions
Is Command A better than Qwen2.5 7B Instruct?
Command A is the stronger model overall, scoring 36.5 to 29.0 on the Noometry Index. Qwen2.5 7B Instruct costs 14× less per token, which makes it the better buy when Command A's lead doesn't matter for your workload.
Which is cheaper, Command A or Qwen2.5 7B Instruct?
Qwen2.5 7B Instruct is cheaper. It lists at $0.17 per million input tokens and $0.70 per million output tokens; Command A lists at $2.50 and $10.
Is Command A or Qwen2.5 7B Instruct better for coding?
Qwen2.5 7B Instruct scores higher on coding benchmarks: 36.5 versus 27.2 in the Noometry coding category.
Which has the bigger context window?
Command A does, with 256K tokens against 131K.
How many benchmarks do Command A and Qwen2.5 7B Instruct share?
2 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Qwen2.5 7B Instruct has 15.