Model comparison

Grok 4.7 vs Pixtral Large

Grok 4.7 is the stronger model overall, scoring 53.1 to 32.2 on the Noometry Index.

Last verified . 2 shared benchmarks.

Grok 4.7 xAI

53.1

Rank #37 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 2 benchmarks with published results for both. Grok 4.7 scores higher in 3 categories and Pixtral Large in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok 4.7 leads 70.0 to 32.9.
  • Both cost about the same: $2 input and $6 output per million tokens.
  • Grok 4.7 accepts more context: 500K tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Grok 4.7 and Pixtral Large specifications
Grok 4.7Pixtral Large
ProviderxAIMistral AI
Noometry Index53.132.2
Released2026-09-212024-11-01
WeightsProprietaryOpen
Context window500K128K
Max output500K128K
Input $ / M tokens$2$2
Output $ / M tokens$6$6
Results tracked393

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Category by category

Coding Not comparable

Grok 4.7: 58.0 (#18), Pixtral Large: —

Coding benchmarks
BenchmarkGrok 4.7Pixtral Large
FrontierCode47.6%—
CursorBench46.3%—
LMArena WebDev1639—
FrontierSWE29.5%—
SciCode57.8%—
LMArena Coding1427—

Agentic & Tool Use Not comparable

Grok 4.7: 36.7 (#37), Pixtral Large: —

Agentic & Tool Use benchmarks
BenchmarkGrok 4.7Pixtral Large
APEX-Agents54.6%—
GDP.pdf22.8%—
Vending-Bench 210,537—

Reasoning Grok 4.7 leads

Grok 4.7: 49.1 (#40), Pixtral Large: 21.7 (#218)

Reasoning benchmarks
BenchmarkGrok 4.7Pixtral Large
NYT Connections (extended)76.8%—
CritPt18%—
Chess Puzzles38%—
EnigmaEval—0.8%
LMArena Hard Prompts1413—
Mystery Game Puzzles29%—
DTBench96%—
LMCA49.4%—
Epoch Capabilities Index153.53—

Math Not comparable

Grok 4.7: 57.8 (#39), Pixtral Large: —

Math benchmarks
BenchmarkGrok 4.7Pixtral Large
FrontierMath (Tiers 1-3)53%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202598.1%—
ProofBench34%—
LMArena Math1407—

Knowledge Not comparable

Grok 4.7: 62.8 (#22), Pixtral Large: —

Knowledge benchmarks
BenchmarkGrok 4.7Pixtral Large
GPQA Diamond92.7%—
SimpleQA Verified56%—
LMArena Expert1422—

Multimodal Grok 4.7 leads

Grok 4.7: 35.5 (#87), Pixtral Large: 30.6 (#111)

Multimodal benchmarks
BenchmarkGrok 4.7Pixtral Large
LMArena Vision12281089
Blueprint-Bench 232.5%—
Furniture Assembly20.8%—

Multilingual Not comparable

Grok 4.7: 50.8 (#116), Pixtral Large: —

Multilingual benchmarks
BenchmarkGrok 4.7Pixtral Large
LMArena Non-English1389—
LMArena Chinese1455—
LMArena French1455—
LMArena Russian1397—
LMArena Spanish1400—

Instruction Following Not comparable

Grok 4.7: 74.1 (#105), Pixtral Large: —

Instruction Following benchmarks
BenchmarkGrok 4.7Pixtral Large
LMArena Instruction Following1404—

Long Context Not comparable

Grok 4.7: 43.1 (#104), Pixtral Large: —

Long Context benchmarks
BenchmarkGrok 4.7Pixtral Large
LMArena Longer Query1413—

Writing & Preference Grok 4.7 leads

Grok 4.7: 70.0 (#24), Pixtral Large: 32.9 (#278)

Writing & Preference benchmarks
BenchmarkGrok 4.7Pixtral Large
EQ-Bench Creative Writing2007988
LMArena Text1399—
LMArena Creative Writing1391—
LMArena Multi-Turn1393—

Frequently asked questions

Is Grok 4.7 better than Pixtral Large?

Grok 4.7 is the stronger model overall, scoring 53.1 to 32.2 on the Noometry Index.

Which is cheaper, Grok 4.7 or Pixtral Large?

Pixtral Large is cheaper. It lists at $2 per million input tokens and $6 per million output tokens; Grok 4.7 lists at $2 and $6.

Which has the bigger context window?

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

How many benchmarks do Grok 4.7 and Pixtral Large share?

2 benchmarks have published results for both models. Grok 4.7 has 39 scored results on Noometry and Pixtral Large has 3.

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