Model comparison

Grok 4.20 Multi-Agent vs Qwen3-4B

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.9 on the Noometry Index.

Last verified . 0 shared benchmarks.

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Qwen3-4B Alibaba (Qwen)

31.9

Rank #264 Confirmed

Summary

  • The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 19.2.
  • Qwen3-4B has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-Agent and Qwen3-4B specifications
Grok 4.20 Multi-AgentQwen3-4B
ProviderxAIAlibaba (Qwen)
Noometry Index46.231.9
Released2026-03-092025-04-29
WeightsProprietaryOpen
Context window1M—
Max output30K—
Input $ / M tokens$1.25—
Output $ / M tokens$2.50—
Results tracked206

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Category by category

Coding Not comparable

Grok 4.20 Multi-Agent: 43.0 (#92), Qwen3-4B: —

Coding benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
LMArena Coding1457—

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Qwen3-4B: 27.6 (#100)

Agentic & Tool Use benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
Berkeley Function Calling Leaderboard—35.7%
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.9 (#48), Qwen3-4B: 19.2 (#268)

Reasoning benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
NYT Connections (extended)89.6%—
Chess Puzzles—4%
LMArena Hard Prompts1448—

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.4 (#104), Qwen3-4B: 29.7 (#240)

Math benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
MathArena Final-Answer Competitions—38.5%
OTIS Mock AIME 2024-2025—52.2%
LMArena Math1442—

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 40.4 (#119), Qwen3-4B: 33.0 (#208)

Knowledge benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
GPQA Diamond—52.3%
Vectara Hallucination Rate—5.7%
LMArena Expert1445—

Multimodal Not comparable

Grok 4.20 Multi-Agent: 40.5 (#48), Qwen3-4B: —

Multimodal benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
LMArena Vision1259—

Multilingual Not comparable

Grok 4.20 Multi-Agent: 54.4 (#43), Qwen3-4B: —

Multilingual benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
LMArena Non-English1440—
LMArena Chinese1475—
LMArena French1466—
LMArena German1456—
LMArena Japanese1405—
LMArena Korean1416—
LMArena Russian1457—
LMArena Spanish1447—

Instruction Following Not comparable

Grok 4.20 Multi-Agent: 74.8 (#84), Qwen3-4B: —

Instruction Following benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
LMArena Instruction Following1420—

Long Context Not comparable

Grok 4.20 Multi-Agent: 43.7 (#88), Qwen3-4B: —

Long Context benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
LMArena Longer Query1431—

Writing & Preference Not comparable

Grok 4.20 Multi-Agent: 64.0 (#59), Qwen3-4B: —

Writing & Preference benchmarks
BenchmarkGrok 4.20 Multi-AgentQwen3-4B
LMArena Text1450—
LMArena Creative Writing1436—
LMArena Multi-Turn1452—

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Qwen3-4B?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 31.9 on the Noometry Index.

How many benchmarks do Grok 4.20 Multi-Agent and Qwen3-4B share?

0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen3-4B has 6.

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