Model comparison

GLM-5 vs Longcat Flash Chat

GLM-5 is the stronger model overall, scoring 46.1 to 42.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5 Z.ai (Zhipu)

46.1

Rank #66 Confirmed

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5 scores higher in 8 categories and Longcat Flash Chat in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5 leads 52.3 to 40.6.
  • The biggest single-benchmark swing is NYT Connections (extended): 74.8% for GLM-5 and 17.7% for Longcat Flash Chat.

Side by side

GLM-5 and Longcat Flash Chat specifications
GLM-5Longcat Flash Chat
ProviderZ.ai (Zhipu)Meituan
Noometry Index46.142.1
Released2026-02-11—
WeightsOpenOpen
Context window205K—
Max output131K—
Input $ / M tokens$1—
Output $ / M tokens$3.20—
Results tracked4519

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Category by category

Coding GLM-5 leads

GLM-5: 49.0 (#52), Longcat Flash Chat: 43.5 (#87)

Coding benchmarks
BenchmarkGLM-5Longcat Flash Chat
LMArena Coding14611471
SWE-bench Verified72.1%—
SWE-bench Verified (bash only)72.8%—
LMArena WebDev1434—
SWE-bench Multilingual69.7%—
WeirdML48.2%—
ALE-Bench765.62—

Agentic & Tool Use Not comparable

GLM-5: 31.1 (#71), Longcat Flash Chat: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5Longcat Flash Chat
Terminal-Bench52.4%—
τ²-bench Airline82.5%—
τ²-bench Banking9.8%—
τ²-bench Retail73.7%—
τ²-bench Telecom86.8%—
Vending-Bench 24,432—

Reasoning GLM-5 leads

GLM-5: 27.6 (#116), Longcat Flash Chat: 19.0 (#272)

Reasoning benchmarks
BenchmarkGLM-5Longcat Flash Chat
Kagi LLM Benchmark75%43.9%
NYT Connections (extended)74.8%17.7%
LMArena Hard Prompts14521440
ARC-AGI-24.9%—
SimpleBench53.2%—
ARC-AGI-144.7%—
Chess Puzzles10%—
Epoch Capabilities Index145.83—
ForecastBench61—

Math GLM-5 leads

GLM-5: 46.4 (#71), Longcat Flash Chat: 39.4 (#107)

Math benchmarks
BenchmarkGLM-5Longcat Flash Chat
LMArena Math14401442
MathArena Final-Answer Competitions65.7%—
OTIS Mock AIME 2024-202580%—
FrontierMath (Feb 2025 set)16.4%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge GLM-5 leads

GLM-5: 52.3 (#64), Longcat Flash Chat: 40.6 (#116)

Knowledge benchmarks
BenchmarkGLM-5Longcat Flash Chat
LMArena Expert14541454
GPQA Diamond87.8%—
Vectara Hallucination Rate10.1%—

Multilingual GLM-5 leads

GLM-5: 53.7 (#58), Longcat Flash Chat: 51.9 (#101)

Multilingual benchmarks
BenchmarkGLM-5Longcat Flash Chat
LMArena Non-English14301404
LMArena Chinese15111465
LMArena French14551456
LMArena German14451408
LMArena Japanese14161373
LMArena Korean14231371
LMArena Russian14361395
LMArena Spanish14541445

Instruction Following Too close to call

GLM-5: 75.2 (#67), Longcat Flash Chat: 74.4 (#96)

Instruction Following benchmarks
BenchmarkGLM-5Longcat Flash Chat
LMArena Instruction Following14281411

Long Context GLM-5 leads

GLM-5: 44.7 (#60), Longcat Flash Chat: 43.5 (#93)

Long Context benchmarks
BenchmarkGLM-5Longcat Flash Chat
LMArena Longer Query14461425
CL-bench18.7%—

Writing & Preference GLM-5 leads

GLM-5: 66.0 (#38), Longcat Flash Chat: 61.0 (#91)

Writing & Preference benchmarks
BenchmarkGLM-5Longcat Flash Chat
LMArena Text14461427
LMArena Creative Writing14391388
LMArena Multi-Turn14561418
EQ-Bench Creative Writing1601—

Frequently asked questions

Is GLM-5 better than Longcat Flash Chat?

GLM-5 is the stronger model overall, scoring 46.1 to 42.1 on the Noometry Index.

Is GLM-5 or Longcat Flash Chat better for coding?

GLM-5 scores higher on coding benchmarks: 49.0 versus 43.5 in the Noometry coding category.

How many benchmarks do GLM-5 and Longcat Flash Chat share?

19 benchmarks have published results for both models. GLM-5 has 45 scored results on Noometry and Longcat Flash Chat has 19.

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