Noometry

Model comparison

Grok 4.20 Multi-Agent vs Qwen2.5-Max

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 40.7 on the Noometry Index.

Last verified . 17 shared benchmarks.

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Qwen2.5-Max Alibaba (Qwen)

40.7

Rank #146 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Qwen2.5-Max in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 25.6.

Side by side

Grok 4.20 Multi-AgentQwen2.5-Max
ProviderxAIAlibaba (Qwen)
Noometry Index46.240.7
Released2026-03-092025-01-25
WeightsProprietaryProprietary
Context window1M—
Max output30K—
Input $ / M tokens$1.25—
Output $ / M tokens$2.50—
Results tracked2027

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Category by category

Coding Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.0 (#92), Qwen2.5-Max: 41.8 (#117)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Coding14571359
LiveBench Coding—64.4%

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Qwen2.5-Max: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.9 (#48), Qwen2.5-Max: 25.6 (#147)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Hard Prompts14481360
NYT Connections (extended)89.6%—
LiveBench Reasoning—51.4%
LiveBench Data Analysis—67.9%
Epoch Capabilities Index—132.53
LiveBench—62.3%

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.4 (#104), Qwen2.5-Max: 36.9 (#162)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Math14421369
LiveBench Math—58.4%

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 40.4 (#119), Qwen2.5-Max: 35.3 (#186)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Expert14451337
Confabulations—21.8%

Multimodal Not comparable

Grok 4.20 Multi-Agent: 40.5 (#48), Qwen2.5-Max: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Vision1259—

Multilingual Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 54.4 (#43), Qwen2.5-Max: 48.1 (#146)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Non-English14401352
LMArena Chinese14751382
LMArena French14661396
LMArena German14561350
LMArena Japanese14051300
LMArena Korean14161304
LMArena Russian14571353
LMArena Spanish14471377

Instruction Following Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 74.8 (#84), Qwen2.5-Max: 71.3 (#152)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Instruction Following14201335
LiveBench Instruction Following—75.3%

Long Context Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.7 (#88), Qwen2.5-Max: 41.4 (#142)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Longer Query14311358

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.0 (#59), Qwen2.5-Max: 55.4 (#146)

BenchmarkGrok 4.20 Multi-AgentQwen2.5-Max
LMArena Text14501367
LMArena Creative Writing14361339
LMArena Multi-Turn14521364
Short-Story Creative Writing—72.9%
LiveBench Language—56.3%

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Qwen2.5-Max?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 40.7 on the Noometry Index.

Is Grok 4.20 Multi-Agent or Qwen2.5-Max better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 41.8 in the Noometry coding category.

How many benchmarks do Grok 4.20 Multi-Agent and Qwen2.5-Max share?

17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen2.5-Max has 27.

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