Noometry

Model comparison

Longcat Flash Chat vs Qwen2.5 72B Instruct

Longcat Flash Chat is the stronger model overall, scoring 42.1 to 31.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Longcat Flash Chat Meituan

42.1

Rank #120 Confirmed

Qwen2.5 72B Instruct Alibaba (Qwen)

31.9

Rank #267 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Longcat Flash Chat scores higher in 7 categories and Qwen2.5 72B Instruct in 1 category; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Longcat Flash Chat leads 39.4 to 19.3.

Side by side

Longcat Flash ChatQwen2.5 72B Instruct
ProviderMeituanAlibaba (Qwen)
Noometry Index42.131.9
Released—2024-09
WeightsOpenOpen
Context window—131K
Max output—8K
Input $ / M tokens—$1.40
Output $ / M tokens—$5.60
Results tracked1943

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Category by category

Coding Longcat Flash Chat leads

Longcat Flash Chat: 43.5 (#87), Qwen2.5 72B Instruct: 33.2 (#260)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Coding14711292
WeirdML—16%
BigCodeBench Instruct—45.8%
BigCodeBench Complete—55.9%

Agentic & Tool Use Not comparable

Longcat Flash Chat: —, Qwen2.5 72B Instruct: 22.1 (#133)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
TheAgentCompany—5.7%
BALROG—16.2%
METR Time Horizons—35.8%

Reasoning Qwen2.5 72B Instruct leads

Longcat Flash Chat: 19.0 (#272), Qwen2.5 72B Instruct: 22.3 (#199)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Hard Prompts14401271
Kagi LLM Benchmark43.9%—
NYT Connections (extended)17.7%—
DTBench—62.9%
LMCA—13.4%
BIG-Bench Hard—79.8%
Epoch Capabilities Index—129
ForecastBench—57.5
HellaSwag—84.8%
PIQA—82.6%
WinoGrande—82.3%

Math Longcat Flash Chat leads

Longcat Flash Chat: 39.4 (#107), Qwen2.5 72B Instruct: 19.3 (#287)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Math14421283
OTIS Mock AIME 2024-2025—8.1%
Omni-MATH—33%
MATH Level 5—63.2%

Knowledge Longcat Flash Chat leads

Longcat Flash Chat: 40.6 (#116), Qwen2.5 72B Instruct: 27.0 (#253)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Expert14541245
GPQA Diamond—49.1%
MMLU-Pro—63.1%
Confabulations—19.1%
GPQA (HELM)—42.6%
ARC (AI2) Challenge—94.5%
MMLU—85.3%
TriviaQA—71.9%

Multilingual Longcat Flash Chat leads

Longcat Flash Chat: 51.9 (#101), Qwen2.5 72B Instruct: 41.0 (#213)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Non-English14041252
LMArena Chinese14651272
LMArena French14561280
LMArena German14081234
LMArena Japanese13731180
LMArena Korean13711188
LMArena Russian13951264
LMArena Spanish14451256

Instruction Following Longcat Flash Chat leads

Longcat Flash Chat: 74.4 (#96), Qwen2.5 72B Instruct: 65.5 (#221)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Instruction Following14111254
IFEval—80.6%

Long Context Longcat Flash Chat leads

Longcat Flash Chat: 43.5 (#93), Qwen2.5 72B Instruct: 38.9 (#188)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Longer Query14251282

Writing & Preference Longcat Flash Chat leads

Longcat Flash Chat: 61.0 (#91), Qwen2.5 72B Instruct: 46.7 (#215)

BenchmarkLongcat Flash ChatQwen2.5 72B Instruct
LMArena Text14271269
LMArena Creative Writing13881221
LMArena Multi-Turn14181272
WildBench—80.2%

Frequently asked questions

Is Longcat Flash Chat better than Qwen2.5 72B Instruct?

Longcat Flash Chat is the stronger model overall, scoring 42.1 to 31.9 on the Noometry Index.

Is Longcat Flash Chat or Qwen2.5 72B Instruct better for coding?

Longcat Flash Chat scores higher on coding benchmarks: 43.5 versus 33.2 in the Noometry coding category.

How many benchmarks do Longcat Flash Chat and Qwen2.5 72B Instruct share?

17 benchmarks have published results for both models. Longcat Flash Chat has 19 scored results on Noometry and Qwen2.5 72B Instruct has 43.

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