Noometry

Model comparison

Command A vs Grok 4.3

Grok 4.3 is the stronger model overall, scoring 43.6 to 35.9 on the Noometry Index.

Last verified . 19 shared benchmarks.

Command A Cohere

35.9

Rank #212 Confirmed

Grok 4.3 xAI

43.6

Rank #80 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Command A scores higher in 1 category and Grok 4.3 in 8 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.3 leads 34.9 to 17.7.
  • The biggest single-benchmark swing is DTBench: 61.3% for Command A and 90.7% for Grok 4.3.
  • Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $2.50 / $10 for Command A.
  • Grok 4.3 accepts more context: 1M tokens versus 256K.
  • Command A has downloadable open weights; the other is API-only.

Side by side

Command AGrok 4.3
ProviderCoherexAI
Noometry Index35.943.6
Released2025-03-132026-04-17
WeightsOpenProprietary
Context window256K1M
Max output8K30K
Input $ / M tokens$2.50$1.25
Output $ / M tokens$10$2.50
Results tracked2440

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Category by category

Coding Grok 4.3 leads

Command A: 26.8 (#317), Grok 4.3: 41.3 (#117)

BenchmarkCommand AGrok 4.3
LMArena Coding13311415
Aider Polyglot12%—
LMArena WebDev—1357
SciCode—47.3%
WeirdML—49.9%
ALE-Bench—944.17

Agentic & Tool Use Command A leads

Command A: 35.7 (#36), Grok 4.3: 27.6 (#93)

BenchmarkCommand AGrok 4.3
Berkeley Function Calling Leaderboard57.1%—
GDP.pdf—8%
LMArena Search—1165
Vending-Bench 2—35.26

Reasoning Grok 4.3 leads

Command A: 17.7 (#276), Grok 4.3: 34.9 (#60)

BenchmarkCommand AGrok 4.3
LMArena Hard Prompts13261397
DTBench61.3%90.7%
LMCA10.3%38.3%
Kagi LLM Benchmark28.8%—
NYT Connections (extended)—55.2%
CritPt—8%
Chess Puzzles—25%
Epoch Capabilities Index—149.13
ForecastBench—60.3

Math Grok 4.3 leads

Command A: 33.5 (#172), Grok 4.3: 45.8 (#60)

BenchmarkCommand AGrok 4.3
LMArena Math13001388
FrontierMath (Tiers 1-3)—42.8%
FrontierMath Tier 4—14.6%
OTIS Mock AIME 2024-2025—93.3%
ProofBench—11%

Knowledge Grok 4.3 leads

Command A: 36.5 (#157), Grok 4.3: 52.5 (#57)

BenchmarkCommand AGrok 4.3
LMArena Expert12951385
GPQA Diamond—88.8%
SimpleQA Verified—33.2%
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

Command A: —, Grok 4.3: 31.6 (#96)

BenchmarkCommand AGrok 4.3
LMArena Vision—1231
Blueprint-Bench 2—0%

Multilingual Grok 4.3 leads

Command A: 45.5 (#166), Grok 4.3: 50.7 (#114)

BenchmarkCommand AGrok 4.3
LMArena Non-English13131385
LMArena Chinese13271423
LMArena French13521412
LMArena German13411395
LMArena Japanese12831379
LMArena Korean12851357
LMArena Russian13141399
LMArena Spanish13461402

Instruction Following Grok 4.3 leads

Command A: 69.3 (#172), Grok 4.3: 72.3 (#135)

BenchmarkCommand AGrok 4.3
LMArena Instruction Following13091366

Long Context Grok 4.3 leads

Command A: 40.6 (#147), Grok 4.3: 42.5 (#118)

BenchmarkCommand AGrok 4.3
LMArena Longer Query13341393

Writing & Preference Grok 4.3 leads

Command A: 47.8 (#204), Grok 4.3: 58.6 (#112)

BenchmarkCommand AGrok 4.3
LMArena Text13311397
LMArena Creative Writing13191380
LMArena Multi-Turn13381406
EQ-Bench Creative Writing1145—
EQ-Bench 4—1075

Frequently asked questions

Is Command A better than Grok 4.3?

Grok 4.3 is the stronger model overall, scoring 43.6 to 35.9 on the Noometry Index.

Which is cheaper, Command A or Grok 4.3?

Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Command A lists at $2.50 and $10.

Is Command A or Grok 4.3 better for coding?

Grok 4.3 scores higher on coding benchmarks: 41.3 versus 26.8 in the Noometry coding category.

Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 256K.

How many benchmarks do Command A and Grok 4.3 share?

19 benchmarks have published results for both models. Command A has 24 scored results on Noometry and Grok 4.3 has 40.

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