Model comparison

Grok 4.20 Multi-Agent vs Mixtral 8x22B

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 26.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Mixtral 8x22B Mistral AI

26.7

Rank #330 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Mixtral 8x22B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.1 to 37.1.
  • Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $2 / $6 for Mixtral 8x22B.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 64K.
  • Mixtral 8x22B has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-Agent and Mixtral 8x22B specifications
Grok 4.20 Multi-AgentMixtral 8x22B
ProviderxAIMistral AI
Noometry Index45.526.7
Released2026-03-092024-04-17
WeightsProprietaryOpen
Context window1M64K
Max output30K64K
Input $ / M tokens$1.25$2
Output $ / M tokens$2.50$6
Results tracked2034

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Category by category

Coding Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#91), Mixtral 8x22B: 23.8 (#324)

Coding benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Coding14581166
WeirdML—3.2%
BigCodeBench Instruct—40.6%
BigCodeBench Complete—50.2%
HumanEval+—72%
MBPP+—64.3%

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Mixtral 8x22B: 22.8 (#119)

Agentic & Tool Use benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
Cybench—7.5%
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#44), Mixtral 8x22B: 19.1 (#246)

Reasoning benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Hard Prompts14481150
NYT Connections (extended)89.6%—
DTBench—55.1%
Epoch Capabilities Index—122
ForecastBench—56.3

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 36.6 (#106), Mixtral 8x22B: 21.2 (#271)

Math benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Math14411184
Omni-MATH—16.3%
MATH Level 5—24.2%

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.7 (#116), Mixtral 8x22B: 15.1 (#288)

Knowledge benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Expert14451113
GPQA Diamond—34.1%
MMLU-Pro—46%
GPQA (HELM)—33.4%
MMLU—77.8%

Multimodal Not comparable

Grok 4.20 Multi-Agent: 39.8 (#44), Mixtral 8x22B: —

Multimodal benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Vision1259—

Multilingual Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 54.6 (#40), Mixtral 8x22B: 32.9 (#250)

Multilingual benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Non-English14401128
LMArena Chinese14751116
LMArena French14671165
LMArena German14561141
LMArena Japanese14051037
LMArena Korean14161056
LMArena Russian14571158
LMArena Spanish14471150

Instruction Following Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 75.0 (#80), Mixtral 8x22B: 57.9 (#261)

Instruction Following benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Instruction Following14201147
IFEval—72.4%

Long Context Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.7 (#84), Mixtral 8x22B: 34.6 (#242)

Long Context benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Longer Query14301144

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.1 (#57), Mixtral 8x22B: 37.1 (#257)

Writing & Preference benchmarks
BenchmarkGrok 4.20 Multi-AgentMixtral 8x22B
LMArena Text14501162
LMArena Creative Writing14351141
LMArena Multi-Turn14511130
WildBench—71.1%

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Mixtral 8x22B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 26.7 on the Noometry Index.

Which is cheaper, Grok 4.20 Multi-Agent or Mixtral 8x22B?

Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Mixtral 8x22B lists at $2 and $6.

Is Grok 4.20 Multi-Agent or Mixtral 8x22B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 23.8 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 64K.

How many benchmarks do Grok 4.20 Multi-Agent and Mixtral 8x22B share?

17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Mixtral 8x22B has 34.

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