Noometry

Model comparison

Grok 4.20 Multi-Agent vs Qwen2-72B

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 29.5 on the Noometry Index.

Last verified . 17 shared benchmarks.

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Qwen2-72B Alibaba (Qwen)

29.5

Rank #294 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Qwen2-72B 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 41.0.
  • Qwen2-72B has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-AgentQwen2-72B
ProviderxAIAlibaba (Qwen)
Noometry Index45.529.5
Released2026-03-092024-06-07
WeightsProprietaryOpen
Context window1M—
Max output30K—
Input $ / M tokens$1.25—
Output $ / M tokens$2.50—
Results tracked2026

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Category by category

Coding Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#91), Qwen2-72B: 28.7 (#303)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Coding14581196
WeirdML—11.3%
BigCodeBench Instruct—38.5%
BigCodeBench Complete—54%

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Qwen2-72B: 16.9 (#138)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
TheAgentCompany—1.1%
LMArena Search1204—
METR Time Horizons—29.9%

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#44), Qwen2-72B: 22.2 (#184)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Hard Prompts14481191
NYT Connections (extended)89.6%—
Epoch Capabilities Index—125.27

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 36.6 (#106), Qwen2-72B: 27.9 (#232)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Math14411235
MATH Level 5—39.1%

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.7 (#116), Qwen2-72B: 21.2 (#270)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Expert14451171
GPQA Diamond—40.8%
MMLU—82.4%

Multimodal Not comparable

Grok 4.20 Multi-Agent: 39.8 (#44), Qwen2-72B: —

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Vision1259—

Multilingual Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 54.6 (#40), Qwen2-72B: 36.0 (#239)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Non-English14401176
LMArena Chinese14751240
LMArena French14671169
LMArena German14561151
LMArena Japanese14051111
LMArena Korean14161083
LMArena Russian14571169
LMArena Spanish14471168

Instruction Following Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 75.0 (#80), Qwen2-72B: 62.0 (#236)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Instruction Following14201181

Long Context Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.7 (#84), Qwen2-72B: 36.1 (#230)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Longer Query14301193

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.1 (#57), Qwen2-72B: 41.0 (#236)

BenchmarkGrok 4.20 Multi-AgentQwen2-72B
LMArena Text14501203
LMArena Creative Writing14351181
LMArena Multi-Turn14511195

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Qwen2-72B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 29.5 on the Noometry Index.

Is Grok 4.20 Multi-Agent or Qwen2-72B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 28.7 in the Noometry coding category.

How many benchmarks do Grok 4.20 Multi-Agent and Qwen2-72B share?

17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen2-72B has 26.

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