LongCat-2.0
LongCat-2.0 is an open-weights language model from Meituan, released June 29, 2026. It has 1.8T parameters (dense). The context window is 1M tokens. API price: $0.3 input / $1.2 output per million tokens.
We are introducing and open sourcing LongCat-2.0, a large-scale MoE language model with 1.6 trillion total parameters and ~48 billion activated per token — a substantial step up from previous LongCat models, accompanied by several architectural improvements.
Check it against your own PC →
Can you run LongCat-2.0 locally?
Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.
| GPU memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Too large | – | – | – | – |
| 8 GB VRAM | Too large | – | – | – | – |
| 12 GB VRAM | Too large | – | – | – | – |
| 16 GB VRAM | Too large | – | – | – | – |
| 24 GB VRAM | Too large | – | – | – | – |
| 32 GB VRAM | Too large | – | – | – | – |
Ready-made quantizations on Hugging Face: kernelpool/LongCat-2.0-3bit · kernelpool/LongCat-2.0-3bit-UVMAX
Benchmark results
Epoch AI has not published results for LongCat-2.0 yet. New models are usually evaluated within days to weeks.
Links
Announcement · Hugging Face: meituan-longcat/LongCat-2.0