Meituan: LongCat Flash Chat
Review
Meituan's LongCat Flash Chat has no published benchmark data, making it difficult to assess capability — it supports tool use and function calling with a 131K context window, but businesses should treat it as an unproven option until performance data is available.
Assessment date: April 16, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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..
Capabilities
Architecture
| Modality | Text → Text |
| Tokenizer | Other |
How does Meituan: LongCat Flash Chat stack up?
Compare side-by-side with other legacy models.
Model Information
| OpenRouter ID |
meituan/longcat-flash-chat
|
| Provider | meituan |
| Release Date | September 9, 2025 |
| Context Length | 131,072 tokens |
| Max Completion | 131,072 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.20 | $0.000200 |
| Output | $0.80 | $0.000800 |
