Model comparison

Grok 4.3 vs Pixtral Large

Grok 4.3 is the stronger model overall, scoring 43.8 to 32.2 on the Noometry Index.

Last verified . 1 shared benchmarks.

Grok 4.3 xAI

43.8

Rank #86 Confirmed

Pixtral Large Mistral AI

32.2

Rank #259 Reported

Summary

  • They share 1 benchmark with published results for both. Grok 4.3 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 4.3 leads 58.5 to 32.9.
  • Grok 4.3 is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • Grok 4.3 accepts more context: 1M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Grok 4.3 and Pixtral Large specifications
Grok 4.3Pixtral Large
ProviderxAIMistral AI
Noometry Index43.832.2
Released2026-04-172024-11-01
WeightsProprietaryOpen
Context window1M128K
Max output30K128K
Input $ / M tokens$1.25$2
Output $ / M tokens$2.50$6
Results tracked403

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Category by category

Coding Not comparable

Grok 4.3: 41.6 (#121), Pixtral Large: —

Coding benchmarks
BenchmarkGrok 4.3Pixtral Large
LMArena WebDev1357—
SciCode47.3%—
WeirdML49.9%—
LMArena Coding1415—
ALE-Bench944.17—

Agentic & Tool Use Not comparable

Grok 4.3: 27.7 (#99), Pixtral Large: —

Agentic & Tool Use benchmarks
BenchmarkGrok 4.3Pixtral Large
GDP.pdf8%—
LMArena Search1165—
Vending-Bench 235.26—

Reasoning Grok 4.3 leads

Grok 4.3: 35.9 (#68), Pixtral Large: 21.7 (#218)

Reasoning benchmarks
BenchmarkGrok 4.3Pixtral Large
NYT Connections (extended)55.2%—
CritPt8%—
Chess Puzzles25%—
EnigmaEval—0.8%
LMArena Hard Prompts1396—
DTBench90.7%—
LMCA38.3%—
Epoch Capabilities Index149.16—
ForecastBench60.3—

Math Not comparable

Grok 4.3: 46.0 (#74), Pixtral Large: —

Math benchmarks
BenchmarkGrok 4.3Pixtral Large
FrontierMath (Tiers 1-3)42.8%—
FrontierMath Tier 414.6%—
OTIS Mock AIME 2024-202593.3%—
ProofBench11%—
LMArena Math1388—

Knowledge Not comparable

Grok 4.3: 52.5 (#62), Pixtral Large: —

Knowledge benchmarks
BenchmarkGrok 4.3Pixtral Large
GPQA Diamond88.8%—
SimpleQA Verified33.2%—
LMArena Expert1385—

Multimodal Grok 4.3 leads

Grok 4.3: 31.6 (#104), Pixtral Large: 30.6 (#111)

Multimodal benchmarks
BenchmarkGrok 4.3Pixtral Large
LMArena Vision12291089
Blueprint-Bench 20%—

Multilingual Not comparable

Grok 4.3: 50.5 (#120), Pixtral Large: —

Multilingual benchmarks
BenchmarkGrok 4.3Pixtral Large
LMArena Non-English1385—
LMArena Chinese1422—
LMArena French1412—
LMArena German1395—
LMArena Japanese1379—
LMArena Korean1356—
LMArena Russian1399—
LMArena Spanish1398—

Instruction Following Not comparable

Grok 4.3: 72.1 (#140), Pixtral Large: —

Instruction Following benchmarks
BenchmarkGrok 4.3Pixtral Large
LMArena Instruction Following1366—

Long Context Not comparable

Grok 4.3: 42.5 (#123), Pixtral Large: —

Long Context benchmarks
BenchmarkGrok 4.3Pixtral Large
LMArena Longer Query1393—

Writing & Preference Grok 4.3 leads

Grok 4.3: 58.5 (#118), Pixtral Large: 32.9 (#278)

Writing & Preference benchmarks
BenchmarkGrok 4.3Pixtral Large
LMArena Text1397—
LMArena Creative Writing1380—
EQ-Bench Creative Writing—988
EQ-Bench 41075—
LMArena Multi-Turn1406—

Frequently asked questions

Is Grok 4.3 better than Pixtral Large?

Grok 4.3 is the stronger model overall, scoring 43.8 to 32.2 on the Noometry Index.

Which is cheaper, Grok 4.3 or Pixtral Large?

Grok 4.3 is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Pixtral Large lists at $2 and $6.

Which has the bigger context window?

Grok 4.3 does, with 1M tokens against 128K.

How many benchmarks do Grok 4.3 and Pixtral Large share?

1 benchmark has published results for both models. Grok 4.3 has 40 scored results on Noometry and Pixtral Large has 3.

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