Noometry

Model comparison

Grok 4.20 Multi-Agent vs Qwen2.5 32B Instruct

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 30.1 on the Noometry Index.

Last verified . 0 shared benchmarks.

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Qwen2.5 32B Instruct Alibaba (Qwen)

30.1

Rank #297 Confirmed

Summary

  • The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 19.2.
  • Qwen2.5 32B Instruct is cheaper at $0.70 / $2.80 per million input/output tokens, against $1.25 / $2.50 for Grok 4.20 Multi-Agent.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 131K.
  • Qwen2.5 32B Instruct has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-AgentQwen2.5 32B Instruct
ProviderxAIAlibaba (Qwen)
Noometry Index46.230.1
Released2026-03-092024-09
WeightsProprietaryOpen
Context window1M131K
Max output30K8K
Input $ / M tokens$1.25$0.70
Output $ / M tokens$2.50$2.80
Results tracked207

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Category by category

Coding Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.0 (#92), Qwen2.5 32B Instruct: 38.7 (#169)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
BigCodeBench Instruct—45%
LMArena Coding1457—
BigCodeBench Complete—52.3%

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Qwen2.5 32B Instruct: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.9 (#48), Qwen2.5 32B Instruct: 19.2 (#266)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
NYT Connections (extended)89.6%—
Chess Puzzles—0%
LMArena Hard Prompts1448—
Epoch Capabilities Index—128.52

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.4 (#104), Qwen2.5 32B Instruct: 16.2 (#296)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
OTIS Mock AIME 2024-2025—7.4%
LMArena Math1442—
MATH Level 5—56.1%

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 40.4 (#119), Qwen2.5 32B Instruct: 24.9 (#266)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
GPQA Diamond—46.1%
LMArena Expert1445—

Multimodal Not comparable

Grok 4.20 Multi-Agent: 40.5 (#48), Qwen2.5 32B Instruct: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
LMArena Vision1259—

Multilingual Not comparable

Grok 4.20 Multi-Agent: 54.4 (#43), Qwen2.5 32B Instruct: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
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), Qwen2.5 32B Instruct: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
LMArena Instruction Following1420—

Long Context Not comparable

Grok 4.20 Multi-Agent: 43.7 (#88), Qwen2.5 32B Instruct: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
LMArena Longer Query1431—

Writing & Preference Not comparable

Grok 4.20 Multi-Agent: 64.0 (#59), Qwen2.5 32B Instruct: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5 32B Instruct
LMArena Text1450—
LMArena Creative Writing1436—
LMArena Multi-Turn1452—

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Qwen2.5 32B Instruct?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 30.1 on the Noometry Index.

Which is cheaper, Grok 4.20 Multi-Agent or Qwen2.5 32B Instruct?

Qwen2.5 32B Instruct is cheaper. It lists at $0.70 per million input tokens and $2.80 per million output tokens; Grok 4.20 Multi-Agent lists at $1.25 and $2.50.

Is Grok 4.20 Multi-Agent or Qwen2.5 32B Instruct better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 43.0 versus 38.7 in the Noometry coding category.

Which has the bigger context window?

Grok 4.20 Multi-Agent does, with 1M tokens against 131K.

How many benchmarks do Grok 4.20 Multi-Agent and Qwen2.5 32B Instruct share?

0 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen2.5 32B Instruct has 7.

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