Noometry

Model comparison

Grok 4.20 Multi-Agent vs Pixtral Large

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 31.7 on the Noometry Index.

Last verified . 1 shared benchmarks.

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Pixtral Large Mistral AI

31.7

Rank #257 Reported

Summary

  • They share 1 benchmark with published results for both. Grok 4.20 Multi-Agent 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 4.20 Multi-Agent leads 64.1 to 32.9.
  • Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $6 for Pixtral Large.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 128K.
  • Pixtral Large has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-AgentPixtral Large
ProviderxAIMistral AI
Noometry Index45.531.7
Released2026-03-092024-11-01
WeightsProprietaryOpen
Context window1M128K
Max output30K128K
Input $ / M tokens$1.25$2
Output $ / M tokens$2.50$6
Results tracked203

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Category by category

Coding Not comparable

Grok 4.20 Multi-Agent: 42.4 (#91), Pixtral Large: —

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Coding1458—

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Pixtral Large: —

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#44), Pixtral Large: 20.9 (#208)

BenchmarkGrok 4.20 Multi-AgentPixtral Large
NYT Connections (extended)89.6%—
EnigmaEval—0.8%
LMArena Hard Prompts1448—

Math Not comparable

Grok 4.20 Multi-Agent: 36.6 (#106), Pixtral Large: —

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Math1441—

Knowledge Not comparable

Grok 4.20 Multi-Agent: 39.7 (#116), Pixtral Large: —

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Expert1445—

Multimodal Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.8 (#44), Pixtral Large: 30.0 (#105)

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Vision12591089

Multilingual Not comparable

Grok 4.20 Multi-Agent: 54.6 (#40), Pixtral Large: —

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Non-English1440—
LMArena Chinese1475—
LMArena French1467—
LMArena German1456—
LMArena Japanese1405—
LMArena Korean1416—
LMArena Russian1457—
LMArena Spanish1447—

Instruction Following Not comparable

Grok 4.20 Multi-Agent: 75.0 (#80), Pixtral Large: —

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Instruction Following1420—

Long Context Not comparable

Grok 4.20 Multi-Agent: 43.7 (#84), Pixtral Large: —

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Longer Query1430—

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.1 (#57), Pixtral Large: 32.9 (#273)

BenchmarkGrok 4.20 Multi-AgentPixtral Large
LMArena Text1450—
LMArena Creative Writing1435—
EQ-Bench Creative Writing—988
LMArena Multi-Turn1451—

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Pixtral Large?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 31.7 on the Noometry Index.

Which is cheaper, Grok 4.20 Multi-Agent or Pixtral Large?

Grok 4.20 Multi-Agent 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 4.20 Multi-Agent does, with 1M tokens against 128K.

How many benchmarks do Grok 4.20 Multi-Agent and Pixtral Large share?

1 benchmark has published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Pixtral Large has 3.

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