Model comparison

Command A vs Kimi K2.7 Code

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 35.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

Command A Cohere

35.9

Rank #212 Confirmed

Kimi K2.7 Code Moonshot AI

43.0

Rank #90 Confirmed

Summary

  • The widest gap is in reasoning, where Kimi K2.7 Code leads 38.2 to 17.7.
  • Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $2.50 / $10 for Command A.
  • Kimi K2.7 Code accepts more context: 262K tokens versus 256K.

Side by side

Command A and Kimi K2.7 Code specifications
Command AKimi K2.7 Code
ProviderCohereMoonshot AI
Noometry Index35.943.0
Released2025-03-132026-06-12
WeightsOpenOpen
Context window256K262K
Max output8K262K
Input $ / M tokens$2.50$0.95
Output $ / M tokens$10$4
Results tracked2419

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Category by category

Coding Kimi K2.7 Code leads

Command A: 26.8 (#317), Kimi K2.7 Code: 42.4 (#92)

Coding benchmarks
BenchmarkCommand AKimi K2.7 Code
DeepSWE—30.5%
FrontierCode—30.1%
Aider Polyglot12%—
LMArena WebDev—1473
SciCode—47.5%
WeirdML—54.1%
LMArena Coding1331—
ALE-Bench—886.23

Agentic & Tool Use Command A leads

Command A: 35.7 (#36), Kimi K2.7 Code: 23.9 (#115)

Agentic & Tool Use benchmarks
BenchmarkCommand AKimi K2.7 Code
APEX-Agents—37.6%
Berkeley Function Calling Leaderboard57.1%—
GBAEval—0.9%
Vending-Bench 2—5,083

Reasoning Kimi K2.7 Code leads

Command A: 17.7 (#276), Kimi K2.7 Code: 38.2 (#56)

Reasoning benchmarks
BenchmarkCommand AKimi K2.7 Code
SimpleBench—57.9%
Kagi LLM Benchmark28.8%—
CritPt—10%
Chess Puzzles—21%
LMArena Hard Prompts1326—
DTBench61.3%—
LMCA10.3%—
Surface Evolver Bench—48.8%
Epoch Capabilities Index—150.01

Math Kimi K2.7 Code leads

Command A: 33.5 (#172), Kimi K2.7 Code: 52.6 (#39)

Math benchmarks
BenchmarkCommand AKimi K2.7 Code
FrontierMath (Tiers 1-3)—54%
FrontierMath Tier 4—12.2%
OTIS Mock AIME 2024-2025—95.6%
LMArena Math1300—

Knowledge Kimi K2.7 Code leads

Command A: 36.5 (#157), Kimi K2.7 Code: 53.6 (#51)

Knowledge benchmarks
BenchmarkCommand AKimi K2.7 Code
GPQA Diamond—87.9%
SimpleQA Verified—36.5%
Vectara Hallucination Rate9.3%—
LMArena Expert1295—

Multilingual Not comparable

Command A: 45.5 (#166), Kimi K2.7 Code: —

Multilingual benchmarks
BenchmarkCommand AKimi K2.7 Code
LMArena Non-English1313—
LMArena Chinese1327—
LMArena French1352—
LMArena German1341—
LMArena Japanese1283—
LMArena Korean1285—
LMArena Russian1314—
LMArena Spanish1346—

Instruction Following Not comparable

Command A: 69.3 (#172), Kimi K2.7 Code: —

Instruction Following benchmarks
BenchmarkCommand AKimi K2.7 Code
LMArena Instruction Following1309—

Long Context Not comparable

Command A: 40.6 (#147), Kimi K2.7 Code: —

Long Context benchmarks
BenchmarkCommand AKimi K2.7 Code
LMArena Longer Query1334—

Writing & Preference Not comparable

Command A: 47.8 (#204), Kimi K2.7 Code: —

Writing & Preference benchmarks
BenchmarkCommand AKimi K2.7 Code
LMArena Text1331—
LMArena Creative Writing1319—
EQ-Bench Creative Writing1145—
LMArena Multi-Turn1338—

Frequently asked questions

Is Command A better than Kimi K2.7 Code?

Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 35.9 on the Noometry Index.

Which is cheaper, Command A or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or Kimi K2.7 Code better for coding?

Kimi K2.7 Code scores higher on coding benchmarks: 42.4 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

Kimi K2.7 Code does, with 262K tokens against 256K.

How many benchmarks do Command A and Kimi K2.7 Code share?

0 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Kimi K2.7 Code has 19.

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