LongCat-Flash-Chat
Description
LongCat-Flash-Chat is Meituan's first open-source foundation model, a 560B parameter Mixture-of-Experts (MoE) model that dynamically activates 18.6B-31.3B parameters (~27B average) based on contextual demands. It features Zero-Computation Experts for efficient routing and supports 128K context. Optimized for conversational and agentic tasks, it shows competitive performance across reasoning, coding, instruction following, and domain benchmarks with particular strengths in tool use and complex multi-step interactions. Achieves over 100 tokens per second on H800 GPUs.
Capability Radar
Science uses a reasoning proxy when dedicated science benchmarks are unavailable.
Rankings
| Domain | #Rank | Score | Source |
|---|---|---|---|
| Agentic Capability | 104 | 40.0 | LS |
| Reasoning | 11 | 89.0 | LS |
Benchmark Scores (LLM Stats)
Agents
Biology
Code
Communication
Finance
General
Math
Reasoning
AA Evaluation Indices
No AA evaluation data available
LLM Stats Category Scores
Pricing
No pricing data available
Speed
No speed data available
Provider Price Ranking
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