Noometry

Model comparison

Grok 4.20 Multi-Agent vs Qwen2.5 72B Instruct

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 31.5 on the Noometry Index.

Last verified . 17 shared benchmarks.

Grok 4.20 Multi-Agent xAI

45.5

Rank #62 Confirmed

Qwen2.5 72B Instruct Alibaba (Qwen)

31.5

Rank #259 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 8 categories and Qwen2.5 72B Instruct in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 42.4 to 21.4.
  • Grok 4.20 Multi-Agent is cheaper at $1.25 / $2.50 per million input/output tokens, against $1.40 / $5.60 for Qwen2.5 72B Instruct.
  • Grok 4.20 Multi-Agent accepts more context: 1M tokens versus 131K.
  • Qwen2.5 72B Instruct has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-AgentQwen2.5 72B Instruct
ProviderxAIAlibaba (Qwen)
Noometry Index45.531.5
Released2026-03-092024-09
WeightsProprietaryOpen
Context window1M131K
Max output30K8K
Input $ / M tokens$1.25$1.40
Output $ / M tokens$2.50$5.60
Results tracked2043

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Category by category

Coding Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#91), Qwen2.5 72B Instruct: 32.8 (#256)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Coding14581293
WeirdML—16%
BigCodeBench Instruct—45.8%
BigCodeBench Complete—55.9%

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Qwen2.5 72B Instruct: 22.0 (#124)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
TheAgentCompany—5.7%
BALROG—16.2%
LMArena Search1204—
METR Time Horizons—35.8%

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 42.4 (#44), Qwen2.5 72B Instruct: 21.4 (#197)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Hard Prompts14481271
NYT Connections (extended)89.6%—
DTBench—62.9%
LMCA—13.4%
BIG-Bench Hard—79.8%
Epoch Capabilities Index—129.01
ForecastBench—57.5
HellaSwag—84.8%
PIQA—82.6%
WinoGrande—82.3%

Math Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 36.6 (#106), Qwen2.5 72B Instruct: 18.1 (#281)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Math14411283
OTIS Mock AIME 2024-2025—8.1%
Omni-MATH—33%
MATH Level 5—63.2%

Knowledge Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 39.7 (#116), Qwen2.5 72B Instruct: 26.9 (#247)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Expert14451245
GPQA Diamond—49.1%
MMLU-Pro—63.1%
Confabulations—19.1%
GPQA (HELM)—42.6%
ARC (AI2) Challenge—94.5%
MMLU—85.3%
TriviaQA—71.9%

Multimodal Not comparable

Grok 4.20 Multi-Agent: 39.8 (#44), Qwen2.5 72B Instruct: —

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Vision1259—

Multilingual Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 54.6 (#40), Qwen2.5 72B Instruct: 41.2 (#208)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Non-English14401252
LMArena Chinese14751272
LMArena French14671279
LMArena German14561234
LMArena Japanese14051180
LMArena Korean14161188
LMArena Russian14571264
LMArena Spanish14471255

Instruction Following Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 75.0 (#80), Qwen2.5 72B Instruct: 65.7 (#216)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Instruction Following14201254
IFEval—80.6%

Long Context Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.7 (#84), Qwen2.5 72B Instruct: 38.9 (#183)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Longer Query14301282

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.1 (#57), Qwen2.5 72B Instruct: 46.9 (#210)

BenchmarkGrok 4.20 Multi-AgentQwen2.5 72B Instruct
LMArena Text14501269
LMArena Creative Writing14351221
LMArena Multi-Turn14511272
WildBench—80.2%

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Qwen2.5 72B Instruct?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 45.5 to 31.5 on the Noometry Index.

Which is cheaper, Grok 4.20 Multi-Agent or Qwen2.5 72B Instruct?

Grok 4.20 Multi-Agent is cheaper. It lists at $1.25 per million input tokens and $2.50 per million output tokens; Qwen2.5 72B Instruct lists at $1.40 and $5.60.

Is Grok 4.20 Multi-Agent or Qwen2.5 72B Instruct better for coding?

Grok 4.20 Multi-Agent scores higher on coding benchmarks: 42.4 versus 32.8 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 72B Instruct share?

17 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Qwen2.5 72B Instruct has 43.

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