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Meituan: LongCat 2.0
LongCat 2.0 is a sparse mixture-of-experts language model from Meituan, with 48B active parameters out of 1.6T total. It is suited for coding, repository-level changes, long-horizon problem solving, and agentic workflows.
Specifications
| Attribute | Value |
|---|---|
| Lab | Meituan |
| Tags | Coding Agentic Open Weight Long Context |
| Release Date | 2026-07 |
| Context Window | 1,048,756 tokens |
| Input Price / 1M | $0.30 |
| Output Price / 1M | $1.20 |
| Input Modalities | Text |
| Output Modalities | Text |
Strengths
- Million-token context window for very long tasks
- Low input pricing for cost-sensitive production workloads
- Tool-use support for agentic workflows
Weaknesses
- Newer listing with limited independent benchmark coverage
- Text-only inputs limit multimodal application coverage
Best For
- Agentic workflows and tool-using applications
- Long-context document and codebase processing
In Depth: LongCat 2.0
Summary
LongCat 2.0 is an AI model from Meituan.
Released 2026-07. It supports Text input and produces Text output, with a context window of 1,048,756 tokens. Input pricing is $0.30 per 1M tokens and output is $1.20 per 1M tokens on OpenRouter.