Longcat · model passport
Meituan: LongCat 2.0
longcat-2-0- Open weights
- 1.78T params
- 1,048,756 context
- Released 2026-07-05(HF repo created)
How to run it
Run it yourself
Repositorymeituan-longcat/LongCat-2.0
Parameters1.78T
ArchitectureLongcatCausalLM
Transformers
from transformers import AutoModelForCausalLM, AutoTokenizer
model_id = "meituan-longcat/LongCat-2.0"
tokenizer = AutoTokenizer.from_pretrained(model_id)
model = AutoModelForCausalLM.from_pretrained(model_id)Ollama
We don't sync Ollama tags, so we won't print a command we can't verify — a wrong one would pull the wrong model. Search the Ollama library →
Unsloth fine-tuning recipes are model-specific and we don't derive them here. Unsloth docs →
Use it hosted
API model ID
meituan/longcat-2.0Context length1,048,756 tokens
Max output262,144 tokens
Input price$0.30 per 1M tokens
Cached input price$0.01 per 1M tokens
Output price$1.20 per 1M tokens
API parameters this endpoint supports
Frequency penaltyInclude reasoningLogit biasMax tokensMin-pPresence penaltyReasoningRepetition penaltySeedStop sequencesTemperatureTool choiceTool callingTop-kTop-p
Example request
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer $OPENROUTER_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"meituan/longcat-2.0","messages":[{"role":"user","content":"Hello"}]}'Identifiers, limits and prices are synced from the upstream source shown above. Any field we haven't synced is left out entirely rather than guessed.
No benchmark we track has published a result for this model yet, so there is no score card — only the run guide above. It will appear here once any board we ingest scores it.