AI Comparison
LongCat-Flash-Chat is a large-scale Mixture-of-Experts (MoE) model with 560B total parameters, of which 18.6B–31.3B (≈27B on average) are dynamically activated per input. It introduces a shortcut-connected MoE design to reduce...
Author
MeituanRelease Date
2025-09-09
Knowledge Cutoff
2025-03-31
License
Proprietary
I/O Format
Context Length
131K / 131K
API I/O (1M)
$0.2 / $0.8
How to Use
—
Output Speed
115 tok/sArena Overall
1444Intelligence Index
23.9Coding Index
16.5Math Index
—LiveBench
—ForecastBench
—GPQA Diamond
63.6%HLE
6.0%MMLU-Pro
—AIME 2025
—MATH-500
—LB Reasoning
—LB Math
—LB Data Analysis
—LiveCodeBench
—LB Coding
—LB Agentic
—TAU2
79.5%TerminalBench
10.6%SciCode
28.4%IFBench
43.1%AA-LCR
0.3Hallucination (HHEM)
—Factual Consistency (HHEM)
—LB Language
—LB Instruction Following
—1 / 3
좌우로 스와이프하여 전환
LongCat-Flash-Chat is a large-scale Mixture-of-Experts (MoE) model with 560B total parameters, of which 18.6B–31.3B (≈27B on average) are dynamically activated per input. It introduces a shortcut-connected MoE design to reduce...
Author
MeituanRelease Date
2025-09-09
Knowledge Cutoff
2025-03-31
License
Proprietary
I/O Format
Context Length
131K / 131K
API I/O (1M)
$0.2 / $0.8
How to Use
—
Output Speed
115 tok/sArena Overall
1444Intelligence Index
23.9Coding Index
16.5Math Index
—LiveBench
—ForecastBench
—GPQA Diamond
63.6%HLE
6.0%MMLU-Pro
—AIME 2025
—MATH-500
—LB Reasoning
—LB Math
—LB Data Analysis
—LiveCodeBench
—LB Coding
—LB Agentic
—TAU2
79.5%TerminalBench
10.6%SciCode
28.4%IFBench
43.1%AA-LCR
0.3Hallucination (HHEM)
—Factual Consistency (HHEM)
—LB Language
—LB Instruction Following
—