Noometry

Model comparison

Longcat Flash Chat vs Qwen3 235B-A22B

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index.

Last verified . 18 shared benchmarks.

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Qwen3 235B-A22B Alibaba (Qwen)

43.5

Rank #91 Confirmed

Summary

  • They share 18 benchmarks with published results for both. Longcat Flash Chat scores higher in 3 categories and Qwen3 235B-A22B in 5 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen3 235B-A22B leads 50.4 to 39.4.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 43.9% for Longcat Flash Chat and 69.4% for Qwen3 235B-A22B.

Side by side

Longcat Flash ChatQwen3 235B-A22B
ProviderMeituanAlibaba (Qwen)
Noometry Index42.143.5
Released—2025-04
WeightsOpenOpen
Context window—131K
Max output—16K
Input $ / M tokens—$0.70
Output $ / M tokens—$2.80
Results tracked1949

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

Category by category

Coding Too close to call

Longcat Flash Chat: 43.5 (#87), Qwen3 235B-A22B: 44.3 (#75)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
LMArena Coding14711445
Aider Polyglot—59.6%
SciCode—42.4%
WeirdML—41%

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Qwen3 235B-A22B: 33.9 (#51)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
Berkeley Function Calling Leaderboard—52.1%
Vending-Bench 2—-11.34

Reasoning Longcat Flash Chat leads

Longcat Flash Chat: 19.0 (#272), Qwen3 235B-A22B: 15.7 (#311)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
Kagi LLM Benchmark43.9%69.4%
LMArena Hard Prompts14401433
ARC-AGI-2—1.3%
SimpleBench—31%
NYT Connections (extended)17.7%—
ARC-AGI-1—11%
CritPt—0%
Chess Puzzles—12%
Mystery Game Puzzles—9%
DTBench—80.3%
LMCA—29.3%
Epoch Capabilities Index—143.85
ForecastBench—59.7

Math Qwen3 235B-A22B leads

Longcat Flash Chat: 39.4 (#107), Qwen3 235B-A22B: 50.4 (#57)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
LMArena Math14421432
OTIS Mock AIME 2024-2025—86.7%
Omni-MATH—71.8%
MATH Level 5—68.9%
FrontierMath (Feb 2025 set)—8.5%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3 235B-A22B leads

Longcat Flash Chat: 40.6 (#116), Qwen3 235B-A22B: 49.6 (#73)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
LMArena Expert14541463
GPQA Diamond—80.1%
SimpleQA Verified—40.4%
MMLU-Pro—84.4%
Confabulations—15.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—72.7%

Multilingual Too close to call

Longcat Flash Chat: 51.9 (#101), Qwen3 235B-A22B: 52.3 (#89)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
LMArena Non-English14041409
LMArena Chinese14651481
LMArena French14561445
LMArena German14081433
LMArena Japanese13731399
LMArena Korean13711391
LMArena Russian13951411
LMArena Spanish14451430

Instruction Following Longcat Flash Chat leads

Longcat Flash Chat: 74.4 (#96), Qwen3 235B-A22B: 72.6 (#136)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
LMArena Instruction Following14111408
IFEval—83.5%

Long Context Qwen3 235B-A22B leads

Longcat Flash Chat: 43.5 (#93), Qwen3 235B-A22B: 46.1 (#26)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
LMArena Longer Query14251426
Fiction.LiveBench—75%

Writing & Preference Longcat Flash Chat leads

Longcat Flash Chat: 61.0 (#91), Qwen3 235B-A22B: 59.6 (#108)

BenchmarkLongcat Flash ChatQwen3 235B-A22B
LMArena Text14271419
LMArena Creative Writing13881384
LMArena Multi-Turn14181432
Short-Story Creative Writing—83%
EQ-Bench Creative Writing—1366
WildBench—86.6%

Frequently asked questions

Is Longcat Flash Chat better than Qwen3 235B-A22B?

Qwen3 235B-A22B is the stronger model overall, scoring 43.5 to 42.1 on the Noometry Index.

Is Longcat Flash Chat or Qwen3 235B-A22B better for coding?

They score almost the same on coding (43.5 vs 44.3); test both on your own repository before choosing.

How many benchmarks do Longcat Flash Chat and Qwen3 235B-A22B share?

18 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3 235B-A22B has 49.

Related comparisons

Go deeper