LongCat
Frontier reasoning models from Meituan
164 followers
Frontier reasoning models from Meituan
164 followers
LongCat is the AI model series from Meituan, featuring powerful, efficient, and open-source models for complex tasks. Its latest release, LongCat-Flash-Thinking, is a 560B parameter MoE reasoning model that sets a new standard for speed and performance.
This is the 2nd launch from LongCat. View more
LongCat-2.0
Launching today
LongCat-2.0 is an MIT-licensed 1.6T-parameter MoE model with ~48B active parameters, 1M context, LongCat Sparse Attention, and post-training for coding and agentic workflows. It was trained on AI ASIC superpods and integrates with Claude Code, OpenClaw, and Hermes.
Free
Launch Team
Ran a coding question through LongCat-Flash-Thinking and the response came back fast with clean, working code instead of long-winded explanations. Really impressed by how snappy it feels for such a big model.
Runs surprisingly snappy for a 560B MoE — I had low expectations but the reasoning responses came back fast and actually thought through edge cases instead of hand-waving.
Curious to see how you frame the model strengths beyond the short tagline.
Tried it on a logic puzzle and the reasoning came back structured and fast, way smoother than I expected for a 560B model.
the reasoning speed on long context prompts genuinely surprised me, felt closer to a smaller model than a 560B MoE.
awww, cuteeee