Noometry

Model comparison

Grok 4.20 Multi-Agent vs Qwen1.5-7B

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.4 on the Noometry Index.

Last verified . 12 shared benchmarks.

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Qwen1.5-7B Alibaba (Qwen)

31.4

Rank #273 Confirmed

Summary

  • They share 12 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Qwen1.5-7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Grok 4.20 Multi-Agent leads 64.0 to 29.6.
  • Qwen1.5-7B has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-AgentQwen1.5-7B
ProviderxAIAlibaba (Qwen)
Noometry Index46.231.4
Released2026-03-092024-02-04
WeightsProprietaryOpen
Context window1M—
Max output30K—
Input $ / M tokens$1.25—
Output $ / M tokens$2.50—
Results tracked2013

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Category by category

Coding Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.0 (#92), Qwen1.5-7B: 32.2 (#276)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Coding14571107

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Qwen1.5-7B: —

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.9 (#48), Qwen1.5-7B: 20.4 (#240)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Hard Prompts14481065
NYT Connections (extended)89.6%—

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.4 (#104), Qwen1.5-7B: 31.4 (#224)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Math14421080

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 40.4 (#119), Qwen1.5-7B: 28.7 (#243)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Expert14451055
MMLU—62.6%

Multimodal Not comparable

Grok 4.20 Multi-Agent: 40.5 (#48), Qwen1.5-7B: —

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Vision1259—

Multilingual Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 54.4 (#43), Qwen1.5-7B: 28.5 (#271)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Non-English14401058
LMArena Chinese14751141
LMArena Russian14571006
LMArena French1466—
LMArena German1456—
LMArena Japanese1405—
LMArena Korean1416—
LMArena Spanish1447—

Instruction Following Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 74.8 (#84), Qwen1.5-7B: 54.1 (#281)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Instruction Following14201058

Long Context Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.7 (#88), Qwen1.5-7B: 33.1 (#266)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Longer Query14311090

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.0 (#59), Qwen1.5-7B: 29.6 (#293)

BenchmarkGrok 4.20 Multi-AgentQwen1.5-7B
LMArena Text14501083
LMArena Creative Writing14361035
LMArena Multi-Turn14521062

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Qwen1.5-7B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.4 on the Noometry Index.

Is Grok 4.20 Multi-Agent or Qwen1.5-7B better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 32.2 in the Noometry coding category.

How many benchmarks do Grok 4.20 Multi-Agent and Qwen1.5-7B share?

12 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen1.5-7B has 13.

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