Model comparison

Longcat Flash Chat vs Qwen3-30B-A3B

Longcat Flash Chat is the stronger model overall, scoring 41.5 to 38.5 on the Noometry Index.

Last verified . 18 shared benchmarks.

Longcat Flash Chat Meituan

41.5

Rank #121 Confirmed

Qwen3-30B-A3B Alibaba (Qwen)

38.5

Rank #174 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Longcat Flash Chat scores higher in 6 categories and Qwen3-30B-A3B in 2 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in long context, where Longcat Flash Chat leads 43.5 to 31.0.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 43.9% for Longcat Flash Chat and 54.9% for Qwen3-30B-A3B.

Side by side

Longcat Flash Chat and Qwen3-30B-A3B specifications
Longcat Flash ChatQwen3-30B-A3B
ProviderMeituanAlibaba (Qwen)
Noometry Index41.538.5
Released—2025-04-28
WeightsOpenOpen
Context window—41K
Max output—16K
Input $ / M tokens—$0.12
Output $ / M tokens—$0.50
Results tracked1932

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Category by category

Coding Longcat Flash Chat leads

Longcat Flash Chat: 42.9 (#85), Qwen3-30B-A3B: 37.0 (#188)

Coding benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
LMArena Coding14711416
SciCode—33.3%
WeirdML—29.8%

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Qwen3-30B-A3B: 29.5 (#75)

Agentic & Tool Use benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
Berkeley Function Calling Leaderboard—41.4%

Reasoning Qwen3-30B-A3B leads

Longcat Flash Chat: 18.3 (#267), Qwen3-30B-A3B: 21.6 (#193)

Reasoning benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
Kagi LLM Benchmark43.9%54.9%
LMArena Hard Prompts14401398
NYT Connections (extended)17.7%—
CritPt—0.3%
Chess Puzzles—8%
DTBench—69.3%
LMCA—22.4%
Epoch Capabilities Index—139.63

Math Too close to call

Longcat Flash Chat: 36.6 (#107), Qwen3-30B-A3B: 36.0 (#133)

Math benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
LMArena Math14411394
MathArena Final-Answer Competitions—47.8%
OTIS Mock AIME 2024-2025—70.3%

Knowledge Qwen3-30B-A3B leads

Longcat Flash Chat: 40.0 (#111), Qwen3-30B-A3B: 41.7 (#96)

Knowledge benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
LMArena Expert14541395
GPQA Diamond—70.1%
Confabulations—12.3%

Multilingual Longcat Flash Chat leads

Longcat Flash Chat: 52.1 (#95), Qwen3-30B-A3B: 49.8 (#126)

Multilingual benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
LMArena Non-English14041372
LMArena Chinese14651434
LMArena French14571419
LMArena German14091379
LMArena Japanese13731338
LMArena Korean13721333
LMArena Russian13961369
LMArena Spanish14451403

Instruction Following Longcat Flash Chat leads

Longcat Flash Chat: 74.6 (#92), Qwen3-30B-A3B: 72.2 (#137)

Instruction Following benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
LMArena Instruction Following14111364

Long Context Longcat Flash Chat leads

Longcat Flash Chat: 43.5 (#89), Qwen3-30B-A3B: 31.0 (#278)

Long Context benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
LMArena Longer Query14251379
Fiction.LiveBench—40.6%

Writing & Preference Longcat Flash Chat leads

Longcat Flash Chat: 61.2 (#88), Qwen3-30B-A3B: 55.9 (#138)

Writing & Preference benchmarks
BenchmarkLongcat Flash ChatQwen3-30B-A3B
LMArena Text14271384
LMArena Creative Writing13881318
LMArena Multi-Turn14181378
Short-Story Creative Writing—75.3%

Frequently asked questions

Is Longcat Flash Chat better than Qwen3-30B-A3B?

Longcat Flash Chat is the stronger model overall, scoring 41.5 to 38.5 on the Noometry Index.

Is Longcat Flash Chat or Qwen3-30B-A3B better for coding?

Longcat Flash Chat scores higher on coding benchmarks: 42.9 versus 37.0 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Qwen3-30B-A3B share?

18 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3-30B-A3B has 32.

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