Model comparison

Longcat Flash Chat vs Qwen3.5 27B

Longcat Flash Chat and Qwen3.5 27B score almost the same on the Noometry Index (41.5 vs 41.4), so choose on price, context window or the category you care about most.

Last verified . 18 shared benchmarks.

Longcat Flash Chat Meituan

41.5

Rank #121 Confirmed

Qwen3.5 27B Alibaba (Qwen)

41.4

Rank #127 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Longcat Flash Chat scores higher in 6 categories and Qwen3.5 27B in 2 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5 27B leads 26.6 to 18.3.
  • The biggest single-benchmark swing is NYT Connections (extended): 17.7% for Longcat Flash Chat and 47.9% for Qwen3.5 27B.

Side by side

Longcat Flash Chat and Qwen3.5 27B specifications
Longcat Flash ChatQwen3.5 27B
ProviderMeituanAlibaba (Qwen)
Noometry Index41.541.4
Released—2026-02-23
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.30
Output $ / M tokens—$2.40
Results tracked1928

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Category by category

Coding Longcat Flash Chat leads

Longcat Flash Chat: 42.9 (#85), Qwen3.5 27B: 38.6 (#159)

Coding benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Coding14711427
LMArena WebDev—1357
WeirdML—39.5%
ALE-Bench—349.45

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Qwen3.5 27B: —

Agentic & Tool Use benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
Vending-Bench 2—201.98

Reasoning Qwen3.5 27B leads

Longcat Flash Chat: 18.3 (#267), Qwen3.5 27B: 26.6 (#116)

Reasoning benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
NYT Connections (extended)17.7%47.9%
LMArena Hard Prompts14401414
Kagi LLM Benchmark43.9%—
Thematic Generalization—45.5%
DTBench—82.4%
LMCA—34%

Math Too close to call

Longcat Flash Chat: 36.6 (#107), Qwen3.5 27B: 36.8 (#103)

Math benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Math14411428
MathArena Final-Answer Competitions—56.7%

Knowledge Longcat Flash Chat leads

Longcat Flash Chat: 40.0 (#111), Qwen3.5 27B: 37.4 (#149)

Knowledge benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Expert14541428
Vectara Hallucination Rate—12.1%

Multimodal Not comparable

Longcat Flash Chat: —, Qwen3.5 27B: 38.7 (#56)

Multimodal benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Vision—1240

Multilingual Longcat Flash Chat leads

Longcat Flash Chat: 52.1 (#95), Qwen3.5 27B: 51.0 (#112)

Multilingual benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Non-English14041390
LMArena Chinese14651478
LMArena French14571409
LMArena German14091393
LMArena Japanese13731345
LMArena Korean13721359
LMArena Russian13961389
LMArena Spanish14451408

Instruction Following Too close to call

Longcat Flash Chat: 74.6 (#92), Qwen3.5 27B: 73.7 (#114)

Instruction Following benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Instruction Following14111393

Long Context Too close to call

Longcat Flash Chat: 43.5 (#89), Qwen3.5 27B: 43.1 (#103)

Long Context benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Longer Query14251413

Writing & Preference Longcat Flash Chat leads

Longcat Flash Chat: 61.2 (#88), Qwen3.5 27B: 59.5 (#106)

Writing & Preference benchmarks
BenchmarkLongcat Flash ChatQwen3.5 27B
LMArena Text14271409
LMArena Creative Writing13881362
LMArena Multi-Turn14181410

Frequently asked questions

Is Longcat Flash Chat better than Qwen3.5 27B?

Longcat Flash Chat and Qwen3.5 27B score almost the same on the Noometry Index (41.5 vs 41.4), so choose on price, context window or the category you care about most.

Is Longcat Flash Chat or Qwen3.5 27B better for coding?

Longcat Flash Chat scores higher on coding benchmarks: 42.9 versus 38.6 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Qwen3.5 27B share?

18 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3.5 27B has 28.

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