Noometry

Model comparison

Command A vs Qwen3-VL 235B-A22B

Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 36.5 on the Noometry Index.

Last verified . 17 shared benchmarks.

Command A Cohere

36.5

Rank #215 Confirmed

Qwen3-VL 235B-A22B Alibaba (Qwen)

43.2

Rank #95 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Command A scores higher in 0 categories and Qwen3-VL 235B-A22B in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Qwen3-VL 235B-A22B leads 42.4 to 27.2.
  • Qwen3-VL 235B-A22B is cheaper at $0.70 / $2.80 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 AQwen3-VL 235B-A22B
ProviderCohereAlibaba (Qwen)
Noometry Index36.543.2
Released2025-03-132025-04
WeightsOpenOpen
Context window256K131K
Max output8K33K
Input $ / M tokens$2.50$0.70
Output $ / M tokens$10$2.80
Results tracked2418

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Category by category

Coding Qwen3-VL 235B-A22B leads

Command A: 27.2 (#322), Qwen3-VL 235B-A22B: 42.4 (#100)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Coding13301439
Aider Polyglot12%—

Agentic & Tool Use Not comparable

Command A: 35.9 (#40), Qwen3-VL 235B-A22B: —

BenchmarkCommand AQwen3-VL 235B-A22B
Berkeley Function Calling Leaderboard57.1%—

Reasoning Qwen3-VL 235B-A22B leads

Command A: 18.3 (#283), Qwen3-VL 235B-A22B: 29.3 (#92)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Hard Prompts13261428
Kagi LLM Benchmark28.8%—
DTBench61.3%—
LMCA10.3%—

Math Qwen3-VL 235B-A22B leads

Command A: 36.2 (#171), Qwen3-VL 235B-A22B: 39.0 (#118)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Math13001426

Knowledge Qwen3-VL 235B-A22B leads

Command A: 37.1 (#159), Qwen3-VL 235B-A22B: 40.3 (#121)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Expert12951442
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

Command A: —, Qwen3-VL 235B-A22B: 39.8 (#55)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Vision—1247

Multilingual Qwen3-VL 235B-A22B leads

Command A: 45.3 (#170), Qwen3-VL 235B-A22B: 51.9 (#97)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Non-English13131405
LMArena Chinese13271463
LMArena French13511452
LMArena German13411424
LMArena Japanese12851385
LMArena Korean12851394
LMArena Russian13141408
LMArena Spanish13471428

Instruction Following Qwen3-VL 235B-A22B leads

Command A: 69.1 (#177), Qwen3-VL 235B-A22B: 74.2 (#101)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Instruction Following13091406

Long Context Qwen3-VL 235B-A22B leads

Command A: 40.6 (#151), Qwen3-VL 235B-A22B: 43.4 (#98)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Longer Query13341420

Writing & Preference Qwen3-VL 235B-A22B leads

Command A: 47.6 (#208), Qwen3-VL 235B-A22B: 60.2 (#99)

BenchmarkCommand AQwen3-VL 235B-A22B
LMArena Text13311420
LMArena Creative Writing13191366
LMArena Multi-Turn13391428
EQ-Bench Creative Writing1145—

Frequently asked questions

Is Command A better than Qwen3-VL 235B-A22B?

Qwen3-VL 235B-A22B is the stronger model overall, scoring 43.2 to 36.5 on the Noometry Index.

Which is cheaper, Command A or Qwen3-VL 235B-A22B?

Qwen3-VL 235B-A22B is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or Qwen3-VL 235B-A22B better for coding?

Qwen3-VL 235B-A22B scores higher on coding benchmarks: 42.4 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 Qwen3-VL 235B-A22B share?

17 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Qwen3-VL 235B-A22B has 18.

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