Noometry

Model comparison

Longcat Flash Chat vs Qwen3.5 397B-A17B

Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 42.1 on the Noometry Index.

Last verified . 19 shared benchmarks.

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Qwen3.5 397B-A17B Alibaba (Qwen)

46.0

Rank #67 Confirmed

Summary

  • They share 19 benchmarks with published results for both. Longcat Flash Chat scores higher in 1 category and Qwen3.5 397B-A17B in 7 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.5 397B-A17B leads 34.5 to 19.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 17.7% for Longcat Flash Chat and 58.9% for Qwen3.5 397B-A17B.

Side by side

Longcat Flash ChatQwen3.5 397B-A17B
ProviderMeituanAlibaba (Qwen)
Noometry Index42.146.0
Released—2026-02-01
WeightsOpenOpen
Context window—262K
Max output—66K
Input $ / M tokens—$0.60
Output $ / M tokens—$3.60
Results tracked1936

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Longcat Flash Chat leads

Longcat Flash Chat: 43.5 (#87), Qwen3.5 397B-A17B: 42.0 (#114)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Coding14711465
LMArena WebDev—1400

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Qwen3.5 397B-A17B: 33.3 (#53)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
APEX-Agents—24.9%
τ²-bench Airline—81.5%
τ²-bench Banking—9.8%
τ²-bench Retail—84.4%
τ²-bench Telecom—97.8%

Reasoning Qwen3.5 397B-A17B leads

Longcat Flash Chat: 19.0 (#272), Qwen3.5 397B-A17B: 34.5 (#70)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
Kagi LLM Benchmark43.9%73.7%
NYT Connections (extended)17.7%58.9%
LMArena Hard Prompts14401448
Chess Puzzles—13%
Thematic Generalization—65.1%
Mystery Game Puzzles—18%
DTBench—87.5%
LMCA—37.9%
Epoch Capabilities Index—146.65

Math Qwen3.5 397B-A17B leads

Longcat Flash Chat: 39.4 (#107), Qwen3.5 397B-A17B: 46.1 (#73)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Math14421454
FrontierMath (Tiers 1-3)—31.2%
OTIS Mock AIME 2024-2025—88.9%

Knowledge Qwen3.5 397B-A17B leads

Longcat Flash Chat: 40.6 (#116), Qwen3.5 397B-A17B: 53.3 (#58)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Expert14541462
GPQA Diamond—86.4%

Multimodal Not comparable

Longcat Flash Chat: —, Qwen3.5 397B-A17B: 40.7 (#44)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Vision—1263

Multilingual Qwen3.5 397B-A17B leads

Longcat Flash Chat: 51.9 (#101), Qwen3.5 397B-A17B: 53.7 (#59)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Non-English14041430
LMArena Chinese14651500
LMArena French14561461
LMArena German14081447
LMArena Japanese13731426
LMArena Korean13711384
LMArena Russian13951429
LMArena Spanish14451441

Instruction Following Too close to call

Longcat Flash Chat: 74.4 (#96), Qwen3.5 397B-A17B: 75.0 (#77)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Instruction Following14111424

Long Context Too close to call

Longcat Flash Chat: 43.5 (#93), Qwen3.5 397B-A17B: 44.1 (#74)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Longer Query14251442

Writing & Preference Qwen3.5 397B-A17B leads

Longcat Flash Chat: 61.0 (#91), Qwen3.5 397B-A17B: 62.3 (#79)

BenchmarkLongcat Flash ChatQwen3.5 397B-A17B
LMArena Text14271438
LMArena Creative Writing13881401
LMArena Multi-Turn14181446
EQ-Bench Creative Writing—1478

Frequently asked questions

Is Longcat Flash Chat better than Qwen3.5 397B-A17B?

Qwen3.5 397B-A17B is the stronger model overall, scoring 46.0 to 42.1 on the Noometry Index.

Is Longcat Flash Chat or Qwen3.5 397B-A17B better for coding?

Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 42.0 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Qwen3.5 397B-A17B share?

19 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3.5 397B-A17B has 36.

Related comparisons

Go deeper