Model comparison

Grok 4.20 Multi-Agent vs Longcat Flash Chat

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

Grok 4.20 Multi-Agent xAI

46.2

Rank #65 Confirmed

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Grok 4.20 Multi-Agent scores higher in 6 categories and Longcat Flash Chat in 2 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Grok 4.20 Multi-Agent leads 43.9 to 19.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 89.6% for Grok 4.20 Multi-Agent and 17.7% for Longcat Flash Chat.
  • Longcat Flash Chat has downloadable open weights; the other is API-only.

Side by side

Grok 4.20 Multi-Agent and Longcat Flash Chat specifications
Grok 4.20 Multi-AgentLongcat Flash Chat
ProviderxAIMeituan
Noometry Index46.242.1
Released2026-03-09—
WeightsProprietaryOpen
Context window1M—
Max output30K—
Input $ / M tokens$1.25—
Output $ / M tokens$2.50—
Results tracked2019

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Category by category

Coding Too close to call

Grok 4.20 Multi-Agent: 43.0 (#92), Longcat Flash Chat: 43.5 (#87)

Coding benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Coding14571471

Agentic & Tool Use Not comparable

Grok 4.20 Multi-Agent: —, Longcat Flash Chat: —

Agentic & Tool Use benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Search1204—

Reasoning Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 43.9 (#48), Longcat Flash Chat: 19.0 (#272)

Reasoning benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
NYT Connections (extended)89.6%17.7%
LMArena Hard Prompts14481440
Kagi LLM Benchmark—43.9%

Math Too close to call

Grok 4.20 Multi-Agent: 39.4 (#104), Longcat Flash Chat: 39.4 (#107)

Math benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Math14421442

Knowledge Too close to call

Grok 4.20 Multi-Agent: 40.4 (#119), Longcat Flash Chat: 40.6 (#116)

Knowledge benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Expert14451454

Multimodal Not comparable

Grok 4.20 Multi-Agent: 40.5 (#48), Longcat Flash Chat: —

Multimodal benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Vision1259—

Multilingual Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 54.4 (#43), Longcat Flash Chat: 51.9 (#101)

Multilingual benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Non-English14401404
LMArena Chinese14751465
LMArena French14661456
LMArena German14561408
LMArena Japanese14051373
LMArena Korean14161371
LMArena Russian14571395
LMArena Spanish14471445

Instruction Following Too close to call

Grok 4.20 Multi-Agent: 74.8 (#84), Longcat Flash Chat: 74.4 (#96)

Instruction Following benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Instruction Following14201411

Long Context Too close to call

Grok 4.20 Multi-Agent: 43.7 (#88), Longcat Flash Chat: 43.5 (#93)

Long Context benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Longer Query14311425

Writing & Preference Grok 4.20 Multi-Agent leads

Grok 4.20 Multi-Agent: 64.0 (#59), Longcat Flash Chat: 61.0 (#91)

Writing & Preference benchmarks
BenchmarkGrok 4.20 Multi-AgentLongcat Flash Chat
LMArena Text14501427
LMArena Creative Writing14361388
LMArena Multi-Turn14521418

Frequently asked questions

Is Grok 4.20 Multi-Agent better than Longcat Flash Chat?

Grok 4.20 Multi-Agent is the stronger model overall, scoring 46.2 to 42.1 on the Noometry Index.

Is Grok 4.20 Multi-Agent or Longcat Flash Chat better for coding?

They score almost the same on coding (43.0 vs 43.5); test both on your own repository before choosing.

How many benchmarks do Grok 4.20 Multi-Agent and Longcat Flash Chat share?

18 benchmarks have published results for both models. Grok 4.20 Multi-Agent has 20 scored results on Noometry and Longcat Flash Chat has 19.

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