Noometry

Model comparison

Command R vs Grok 4.7

Grok 4.7 is the stronger model overall, scoring 46.6 to 31.0 on the Noometry Index. Command R costs 11× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

Command R Cohere

31.0

Rank #267 Confirmed

Grok 4.7 xAI

46.6

Rank #56 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Command R scores higher in 0 categories and Grok 4.7 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok 4.7 leads 70.1 to 38.4.
  • Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $2 / $6 for Grok 4.7.
  • Grok 4.7 accepts more context: 500K tokens versus 128K.
  • Command R has downloadable open weights; the other is API-only.

Side by side

Command RGrok 4.7
ProviderCoherexAI
Noometry Index31.046.6
Released2024-08-302026-09-21
WeightsOpenProprietary
Context window128K500K
Max output4K500K
Input $ / M tokens$0.15$2
Output $ / M tokens$0.60$6
Results tracked2921

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Category by category

Coding Grok 4.7 leads

Command R: 28.8 (#301), Grok 4.7: 55.0 (#23)

BenchmarkCommand RGrok 4.7
LMArena Coding11701423
CursorBench—46.3%
LMArena WebDev—1636
FrontierSWE—29.5%
SciCode—57.4%
BigCodeBench Instruct37.1%—
LiveBench Coding17.9%—
BigCodeBench Complete45.2%—

Reasoning Grok 4.7 leads

Command R: 13.3 (#329), Grok 4.7: 40.1 (#49)

BenchmarkCommand RGrok 4.7
LMArena Hard Prompts11641409
NYT Connections (extended)—76.8%
CritPt—17.7%
LiveBench Reasoning21.9%—
DTBench46.4%—
LiveBench Data Analysis33.3%—
LMCA9.2%—
LiveBench27.5%—

Math Grok 4.7 leads

Command R: 25.8 (#244), Grok 4.7: 41.1 (#73)

BenchmarkCommand RGrok 4.7
LMArena Math11551393
ProofBench—34%
LiveBench Math19.4%—

Knowledge Grok 4.7 leads

Command R: 30.5 (#219), Grok 4.7: 38.7 (#130)

BenchmarkCommand RGrok 4.7
LMArena Expert11381413
MMLU65.2%—

Multimodal Not comparable

Command R: —, Grok 4.7: 28.8 (#107)

BenchmarkCommand RGrok 4.7
Furniture Assembly—20.8%

Multilingual Grok 4.7 leads

Command R: 35.9 (#240), Grok 4.7: 51.2 (#108)

BenchmarkCommand RGrok 4.7
LMArena Non-English11741392
LMArena Chinese11821476
LMArena Russian11741396
LMArena French1161—
LMArena German1176—
LMArena Japanese1143—
LMArena Korean1162—
LMArena Spanish1150—

Instruction Following Grok 4.7 leads

Command R: 58.3 (#256), Grok 4.7: 74.3 (#98)

BenchmarkCommand RGrok 4.7
LMArena Instruction Following11671406
LiveBench Instruction Following55.6%—

Long Context Grok 4.7 leads

Command R: 36.3 (#226), Grok 4.7: 43.2 (#97)

BenchmarkCommand RGrok 4.7
LMArena Longer Query11981416

Writing & Preference Grok 4.7 leads

Command R: 38.4 (#248), Grok 4.7: 70.1 (#23)

BenchmarkCommand RGrok 4.7
LMArena Text11871397
LMArena Creative Writing11701391
LMArena Multi-Turn11631389
EQ-Bench Creative Writing—2007
LiveBench Language16.7%—

Frequently asked questions

Is Command R better than Grok 4.7?

Grok 4.7 is the stronger model overall, scoring 46.6 to 31.0 on the Noometry Index. Command R costs 11× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Which is cheaper, Command R or Grok 4.7?

Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Grok 4.7 lists at $2 and $6.

Is Command R or Grok 4.7 better for coding?

Grok 4.7 scores higher on coding benchmarks: 55.0 versus 28.8 in the Noometry coding category.

Which has the bigger context window?

Grok 4.7 does, with 500K tokens against 128K.

How many benchmarks do Command R and Grok 4.7 share?

12 benchmarks have published results for both models. Command R has 29 scored results on Noometry and Grok 4.7 has 21.

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