Model comparison

Command A vs Qwen3.6 27B

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 36.5 on the Noometry Index.

Last verified . 2 shared benchmarks.

Command A Cohere

36.5

Rank #215 Confirmed

Qwen3.6 27B Alibaba (Qwen)

42.2

Rank #117 Confirmed

Summary

  • They share 2 benchmarks with published results for both. Command A scores higher in 0 categories and Qwen3.6 27B in 5 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where Qwen3.6 27B leads 52.4 to 37.1.
  • The biggest single-benchmark swing is LMCA: 10.3% for Command A and 34.5% for Qwen3.6 27B.
  • Qwen3.6 27B is cheaper at $0.60 / $3.60 per million input/output tokens, against $2.50 / $10 for Command A.
  • Qwen3.6 27B accepts more context: 262K tokens versus 256K.

Side by side

Command A and Qwen3.6 27B specifications
Command AQwen3.6 27B
ProviderCohereAlibaba (Qwen)
Noometry Index36.542.2
Released2025-03-132026-04-22
WeightsOpenOpen
Context window256K262K
Max output8K66K
Input $ / M tokens$2.50$0.60
Output $ / M tokens$10$3.60
Results tracked2411

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Category by category

Coding Qwen3.6 27B leads

Command A: 27.2 (#322), Qwen3.6 27B: 39.1 (#163)

Coding benchmarks
BenchmarkCommand AQwen3.6 27B
Aider Polyglot12%—
SciCode—37.3%
LMArena Coding1330—

Agentic & Tool Use Not comparable

Command A: 35.9 (#40), Qwen3.6 27B: —

Agentic & Tool Use benchmarks
BenchmarkCommand AQwen3.6 27B
Berkeley Function Calling Leaderboard57.1%—

Reasoning Qwen3.6 27B leads

Command A: 18.3 (#283), Qwen3.6 27B: 25.0 (#153)

Reasoning benchmarks
BenchmarkCommand AQwen3.6 27B
DTBench61.3%78.1%
LMCA10.3%34.5%
Kagi LLM Benchmark28.8%—
CritPt—0.9%
Chess Puzzles—22%
LMArena Hard Prompts1326—
Mystery Game Puzzles—7%
Epoch Capabilities Index—146.5

Math Qwen3.6 27B leads

Command A: 36.2 (#171), Qwen3.6 27B: 48.5 (#62)

Math benchmarks
BenchmarkCommand AQwen3.6 27B
FrontierMath (Tiers 1-3)—35.1%
OTIS Mock AIME 2024-2025—91.1%
LMArena Math1300—

Knowledge Qwen3.6 27B leads

Command A: 37.1 (#159), Qwen3.6 27B: 52.4 (#63)

Knowledge benchmarks
BenchmarkCommand AQwen3.6 27B
GPQA Diamond—85.9%
Vectara Hallucination Rate9.3%—
LMArena Expert1295—

Multilingual Not comparable

Command A: 45.3 (#170), Qwen3.6 27B: —

Multilingual benchmarks
BenchmarkCommand AQwen3.6 27B
LMArena Non-English1313—
LMArena Chinese1327—
LMArena French1351—
LMArena German1341—
LMArena Japanese1285—
LMArena Korean1285—
LMArena Russian1314—
LMArena Spanish1347—

Instruction Following Not comparable

Command A: 69.1 (#177), Qwen3.6 27B: —

Instruction Following benchmarks
BenchmarkCommand AQwen3.6 27B
LMArena Instruction Following1309—

Long Context Not comparable

Command A: 40.6 (#151), Qwen3.6 27B: —

Long Context benchmarks
BenchmarkCommand AQwen3.6 27B
LMArena Longer Query1334—

Writing & Preference Qwen3.6 27B leads

Command A: 47.6 (#208), Qwen3.6 27B: 50.3 (#181)

Writing & Preference benchmarks
BenchmarkCommand AQwen3.6 27B
LMArena Text1331—
LMArena Creative Writing1319—
EQ-Bench Creative Writing1145—
EQ-Bench 4—1026
LMArena Multi-Turn1339—

Frequently asked questions

Is Command A better than Qwen3.6 27B?

Qwen3.6 27B is the stronger model overall, scoring 42.2 to 36.5 on the Noometry Index.

Which is cheaper, Command A or Qwen3.6 27B?

Qwen3.6 27B is cheaper. It lists at $0.60 per million input tokens and $3.60 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or Qwen3.6 27B better for coding?

Qwen3.6 27B scores higher on coding benchmarks: 39.1 versus 27.2 in the Noometry coding category.

Which has the bigger context window?

Qwen3.6 27B does, with 262K tokens against 256K.

How many benchmarks do Command A and Qwen3.6 27B share?

2 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Qwen3.6 27B has 11.

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