Model comparison

Codestral vs Grok 4.7

Grok 4.7 is the stronger model overall, scoring 46.6 to 30.1 on the Noometry Index. Codestral costs 6.7× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

Codestral Mistral AI

30.1

Rank #287 Reported

Grok 4.7 xAI

46.6

Rank #56 Confirmed

Summary

  • The widest gap is in coding, where Grok 4.7 leads 55.0 to 26.9.
  • Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $2 / $6 for Grok 4.7.
  • Grok 4.7 accepts more context: 500K tokens versus 256K.
  • Codestral has downloadable open weights; the other is API-only.

Side by side

Codestral and Grok 4.7 specifications
CodestralGrok 4.7
ProviderMistral AIxAI
Noometry Index30.146.6
Released2024-05-292026-09-21
WeightsOpenProprietary
Context window256K500K
Max output4K500K
Input $ / M tokens$0.30$2
Output $ / M tokens$0.90$6
Results tracked721

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Grok 4.7 leads

Codestral: 26.9 (#316), Grok 4.7: 55.0 (#23)

Coding benchmarks
BenchmarkCodestralGrok 4.7
Aider Polyglot11.1%—
CursorBench—46.3%
LMArena WebDev—1636
FrontierSWE—29.5%
SciCode—57.4%
BigCodeBench Instruct41.8%—
LMArena Coding—1423
BigCodeBench Complete52.5%—
ALE-Bench137.78—
HumanEval+73.8%—
MBPP+61.9%—

Reasoning Grok 4.7 leads

Codestral: 19.1 (#244), Grok 4.7: 40.1 (#49)

Reasoning benchmarks
BenchmarkCodestralGrok 4.7
Kagi LLM Benchmark32.5%—
NYT Connections (extended)—76.8%
CritPt—17.7%
LMArena Hard Prompts—1409

Math Not comparable

Codestral: —, Grok 4.7: 41.1 (#73)

Math benchmarks
BenchmarkCodestralGrok 4.7
ProofBench—34%
LMArena Math—1393

Knowledge Not comparable

Codestral: —, Grok 4.7: 38.7 (#130)

Knowledge benchmarks
BenchmarkCodestralGrok 4.7
LMArena Expert—1413

Multimodal Not comparable

Codestral: —, Grok 4.7: 28.8 (#107)

Multimodal benchmarks
BenchmarkCodestralGrok 4.7
Furniture Assembly—20.8%

Multilingual Not comparable

Codestral: —, Grok 4.7: 51.2 (#108)

Multilingual benchmarks
BenchmarkCodestralGrok 4.7
LMArena Non-English—1392
LMArena Chinese—1476
LMArena Russian—1396

Instruction Following Not comparable

Codestral: —, Grok 4.7: 74.3 (#98)

Instruction Following benchmarks
BenchmarkCodestralGrok 4.7
LMArena Instruction Following—1406

Long Context Not comparable

Codestral: —, Grok 4.7: 43.2 (#97)

Long Context benchmarks
BenchmarkCodestralGrok 4.7
LMArena Longer Query—1416

Writing & Preference Not comparable

Codestral: —, Grok 4.7: 70.1 (#23)

Writing & Preference benchmarks
BenchmarkCodestralGrok 4.7
LMArena Text—1397
LMArena Creative Writing—1391
EQ-Bench Creative Writing—2007
LMArena Multi-Turn—1389

Frequently asked questions

Is Codestral better than Grok 4.7?

Grok 4.7 is the stronger model overall, scoring 46.6 to 30.1 on the Noometry Index. Codestral costs 6.7× less per token, which makes it the better buy when Grok 4.7's lead doesn't matter for your workload.

Which is cheaper, Codestral or Grok 4.7?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Grok 4.7 lists at $2 and $6.

Is Codestral or Grok 4.7 better for coding?

Grok 4.7 scores higher on coding benchmarks: 55.0 versus 26.9 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do Codestral and Grok 4.7 share?

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and Grok 4.7 has 21.

Related comparisons

Go deeper