Meituan: LongCat Flash Chat
meituan/longcat-flash-chat
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 communication overhead and achieve high throughput while maintaining training stability through advanced scaling strategies such as hyperparameter transfer, deterministic computation, and multi-stage optimization. This release, LongCat-Flash-Chat, is a non-thinking foundation model optimized for conversational and agentic tasks. It supports long context windows up to 128K tokens and shows competitive performance across reasoning, coding, instruction following, and domain benchmarks, with particular strengths in tool use and complex multi-step interactions.
Model specifications
- Input
- text
- Output
- text
- Context
- 131,072 tokens
- Max output
- 32,800 tokens
- Input price
- $0.2 / 1M tokens
- Output price
- $0.8 / 1M tokens
- Released
- 2026-03-01
Capabilities
- Streaming
- Function calling
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.2 / 1M tokens · tier output average $0.8 / 1M tokens
AtlasCloud
Tier: Standard · Region: US
Pricing
- Input
- $0.2 / 1M tokens
- Output
- $0.8 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- No
- Data retention
- 7-day retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- No
- HIPAA compliant
- No
- SOC 2 certified
- No
- BYOK supported
- No
Privacy policy · Terms · Official website · Documentation · Support
Frequently asked questions
- What is Meituan: LongCat Flash Chat?
- 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 communication overhead and achieve high throughput while maintaining training stability through advanced scaling strategies such as hyperparameter transfer, deterministic computation, and multi-stage optimization. This release, LongCat-Flash-Chat, is a non-thinking foundation model optimized for conversational and agentic tasks. It supports long context windows up to 128K tokens and shows competitive performance across reasoning, coding, instruction following, and domain benchmarks, with particular strengths in tool use and complex multi-step interactions.
- How much does Meituan: LongCat Flash Chat cost?
- Input costs start at $0.2 / 1M tokens and output costs start at $0.8 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Meituan: LongCat Flash Chat?
- Meituan: LongCat Flash Chat supports a 131,072 token context window and up to 32,800 output tokens.
- What capabilities does Meituan: LongCat Flash Chat support?
- Meituan: LongCat Flash Chat supports Streaming, Function calling, JSON mode, Playground.
- Which providers offer Meituan: LongCat Flash Chat?
- Meituan: LongCat Flash Chat is available from AtlasCloud.
- How do providers handle data privacy for Meituan: LongCat Flash Chat?
- 1 of 1 providers report that customer data is not used for training, and 0 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.