Model comparison

Command A vs Grok 4.7

Grok 4.7 is the stronger model overall, scoring 46.6 to 35.9 on the Noometry Index.

Last verified . 13 shared benchmarks.

Command A Cohere

35.9

Rank #212 Confirmed

Grok 4.7 xAI

46.6

Rank #56 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Command A scores higher in 0 categories and Grok 4.7 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Grok 4.7 leads 55.0 to 26.8.
  • Grok 4.7 is cheaper at $2 / $6 per million input/output tokens, against $2.50 / $10 for Command A.
  • Grok 4.7 accepts more context: 500K tokens versus 256K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Command A and Grok 4.7 specifications
Command AGrok 4.7
ProviderCoherexAI
Noometry Index35.946.6
Released2025-03-132026-09-21
WeightsOpenProprietary
Context window256K500K
Max output8K500K
Input $ / M tokens$2.50$2
Output $ / M tokens$10$6
Results tracked2421

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Category by category

Coding Grok 4.7 leads

Command A: 26.8 (#317), Grok 4.7: 55.0 (#23)

Coding benchmarks
BenchmarkCommand AGrok 4.7
LMArena Coding13311423
Aider Polyglot12%—
CursorBench—46.3%
LMArena WebDev—1636
FrontierSWE—29.5%
SciCode—57.4%

Agentic & Tool Use Not comparable

Command A: 35.7 (#36), Grok 4.7: —

Agentic & Tool Use benchmarks
BenchmarkCommand AGrok 4.7
Berkeley Function Calling Leaderboard57.1%—

Reasoning Grok 4.7 leads

Command A: 17.7 (#276), Grok 4.7: 40.1 (#49)

Reasoning benchmarks
BenchmarkCommand AGrok 4.7
LMArena Hard Prompts13261409
Kagi LLM Benchmark28.8%—
NYT Connections (extended)—76.8%
CritPt—17.7%
DTBench61.3%—
LMCA10.3%—

Math Grok 4.7 leads

Command A: 33.5 (#172), Grok 4.7: 41.1 (#73)

Math benchmarks
BenchmarkCommand AGrok 4.7
LMArena Math13001393
ProofBench—34%

Knowledge Grok 4.7 leads

Command A: 36.5 (#157), Grok 4.7: 38.7 (#130)

Knowledge benchmarks
BenchmarkCommand AGrok 4.7
LMArena Expert12951413
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

Command A: —, Grok 4.7: 28.8 (#107)

Multimodal benchmarks
BenchmarkCommand AGrok 4.7
Furniture Assembly—20.8%

Multilingual Grok 4.7 leads

Command A: 45.5 (#166), Grok 4.7: 51.2 (#108)

Multilingual benchmarks
BenchmarkCommand AGrok 4.7
LMArena Non-English13131392
LMArena Chinese13271476
LMArena Russian13141396
LMArena French1352—
LMArena German1341—
LMArena Japanese1283—
LMArena Korean1285—
LMArena Spanish1346—

Instruction Following Grok 4.7 leads

Command A: 69.3 (#172), Grok 4.7: 74.3 (#98)

Instruction Following benchmarks
BenchmarkCommand AGrok 4.7
LMArena Instruction Following13091406

Long Context Grok 4.7 leads

Command A: 40.6 (#147), Grok 4.7: 43.2 (#97)

Long Context benchmarks
BenchmarkCommand AGrok 4.7
LMArena Longer Query13341416

Writing & Preference Grok 4.7 leads

Command A: 47.8 (#204), Grok 4.7: 70.1 (#23)

Writing & Preference benchmarks
BenchmarkCommand AGrok 4.7
LMArena Text13311397
LMArena Creative Writing13191391
EQ-Bench Creative Writing11452007
LMArena Multi-Turn13381389

Frequently asked questions

Is Command A better than Grok 4.7?

Grok 4.7 is the stronger model overall, scoring 46.6 to 35.9 on the Noometry Index.

Which is cheaper, Command A or Grok 4.7?

Grok 4.7 is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or Grok 4.7 better for coding?

Grok 4.7 scores higher on coding benchmarks: 55.0 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

Grok 4.7 does, with 500K tokens against 256K.

How many benchmarks do Command A and Grok 4.7 share?

13 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Grok 4.7 has 21.

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