Noometry

Model comparison

Longcat Flash Chat vs Qwen3.7 Max

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 42.1 on the Noometry Index.

Last verified . 13 shared benchmarks.

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Qwen3.7 Max Alibaba (Qwen)

51.5

Rank #42 Confirmed

Summary

  • They share 13 benchmarks with published results for both. Longcat Flash Chat scores higher in 0 categories and Qwen3.7 Max in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where Qwen3.7 Max leads 49.2 to 19.0.
  • The biggest single-benchmark swing is NYT Connections (extended): 17.7% for Longcat Flash Chat and 85.1% for Qwen3.7 Max.
  • Longcat Flash Chat has downloadable open weights; the other is API-only.

Side by side

Longcat Flash ChatQwen3.7 Max
ProviderMeituanAlibaba (Qwen)
Noometry Index42.151.5
Released—2026-05-19
WeightsOpenProprietary
Context window—1M
Max output—131K
Input $ / M tokens—$2.50
Output $ / M tokens—$7.50
Results tracked1933

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Category by category

Coding Qwen3.7 Max leads

Longcat Flash Chat: 43.5 (#87), Qwen3.7 Max: 50.4 (#45)

BenchmarkLongcat Flash ChatQwen3.7 Max
LMArena Coding14711498
SWE-bench Verified—77.3%
LMArena WebDev—1515
SciCode—48.8%
ALE-Bench—1,189

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Qwen3.7 Max: 22.1 (#135)

BenchmarkLongcat Flash ChatQwen3.7 Max
GBAEval—0.4%

Reasoning Qwen3.7 Max leads

Longcat Flash Chat: 19.0 (#272), Qwen3.7 Max: 49.2 (#38)

BenchmarkLongcat Flash ChatQwen3.7 Max
NYT Connections (extended)17.7%85.1%
LMArena Hard Prompts14401483
SimpleBench—70.4%
Kagi LLM Benchmark43.9%—
CritPt—13.4%
Chess Puzzles—19%
EBR-Bench—9.5%
Mystery Game Puzzles—32%
DTBench—92.3%
LMCA—44%
Epoch Capabilities Index—153.68

Math Qwen3.7 Max leads

Longcat Flash Chat: 39.4 (#107), Qwen3.7 Max: 62.4 (#32)

BenchmarkLongcat Flash ChatQwen3.7 Max
LMArena Math14421490
FrontierMath (Tiers 1-3)—64.6%
FrontierMath Tier 4—34.1%
OTIS Mock AIME 2024-2025—95.6%
ProofBench—26%

Knowledge Qwen3.7 Max leads

Longcat Flash Chat: 40.6 (#116), Qwen3.7 Max: 61.6 (#28)

BenchmarkLongcat Flash ChatQwen3.7 Max
LMArena Expert14541488
GPQA Diamond—90.9%
SimpleQA Verified—55.8%

Multilingual Qwen3.7 Max leads

Longcat Flash Chat: 51.9 (#101), Qwen3.7 Max: 56.9 (#15)

BenchmarkLongcat Flash ChatQwen3.7 Max
LMArena Non-English14041474
LMArena Chinese14651530
LMArena Russian13951484
LMArena French1456—
LMArena German1408—
LMArena Japanese1373—
LMArena Korean1371—
LMArena Spanish1445—

Instruction Following Qwen3.7 Max leads

Longcat Flash Chat: 74.4 (#96), Qwen3.7 Max: 76.7 (#38)

BenchmarkLongcat Flash ChatQwen3.7 Max
LMArena Instruction Following14111460

Long Context Qwen3.7 Max leads

Longcat Flash Chat: 43.5 (#93), Qwen3.7 Max: 45.4 (#40)

BenchmarkLongcat Flash ChatQwen3.7 Max
LMArena Longer Query14251482

Writing & Preference Qwen3.7 Max leads

Longcat Flash Chat: 61.0 (#91), Qwen3.7 Max: 65.0 (#54)

BenchmarkLongcat Flash ChatQwen3.7 Max
LMArena Text14271476
LMArena Creative Writing13881449
LMArena Multi-Turn14181481
EQ-Bench 4—1110

Frequently asked questions

Is Longcat Flash Chat better than Qwen3.7 Max?

Qwen3.7 Max is the stronger model overall, scoring 51.5 to 42.1 on the Noometry Index.

Is Longcat Flash Chat or Qwen3.7 Max better for coding?

Qwen3.7 Max scores higher on coding benchmarks: 50.4 versus 43.5 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Qwen3.7 Max share?

13 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen3.7 Max has 33.

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