LongCat-Flash-Thinking
MeituanOpen WeightMIT · Commercial OK
Description
LongCat-Flash-Thinking is Meituan's reasoning model built on the LongCat-Flash foundation with 560B total parameters (MoE, ~27B activated). It introduces a training pipeline specifically tuned for advanced reasoning, featuring Re-thinking Mode that delivers parallel reasoning paths for sophisticated decision-making. Achieves strong performance on mathematical reasoning, agentic tool use, and formal theorem proving benchmarks.
Release Date
2025-09-22
Parameters
560.0B
Context Length
—
Modalities
text
Capability Radar
80
general
70
coding
90
reasoning
68
scienceest.
70
agents
0
multimodal
Science is estimated from LLM Stats science scores or reasoning when no dedicated science benchmarks are available.
Rankings
No ranking data available
Benchmark Scores (LLM Stats)
(LLM Stats (zeroeval))Chat
Tau2 Airline
67.5%SR
Communication
Tau2 Telecom
83.1%SR
Tau2 Retail
71.5%SR
General
BFCL-v3
74.4%SR
Language
MMLU-Redux
89.3%SR
MMLU-Pro
82.6%SR
Math
MATH-500
99.2%SR
AIME 2024
93.3%SR
AIME 2025
90.6%SR
Reasoning
ZebraLogic
95.5%SR
GPQANYU + Cohere + Anthropic (2023)
81.5%SR
LiveCodeBench
79.4%SR
SWE-Bench Verified
59.4%SR
ARC-AGI
50.3%SR
AA Evaluation Indices
(Artificial Analysis)No AA evaluation data available
LLM Stats Category Scores
(LLM Stats (zeroeval))Language90
Math90
Legal80
Physics80
Reasoning80
Finance80
General80
Healthcare80
Biology80
Chemistry80
Chat70
Structured Output70
Agents70
Code70
Communication70
Tool Calling70
Frontend Development60
Spatial Reasoning50
Vision50
Pricing
No pricing data available
Speed
No speed data available
Provider Price Ranking
No provider data available