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.
MeituanLongCat 2.0
meituan/longcat-2.0Coding index
45.3
Artificial Analysis
Agentic index
14
Artificial Analysis
Input
$0.30
per 1M tokens
Output
$1.20
per 1M tokens
Cached input
$0.01
per 1M tokens
Context
1.0M
tokens it reads
Max output
262K
tokens it writes
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...
inspect — the catalog entry
{
"id": "meituan/longcat-2.0",
"canonical_slug": "meituan/longcat-2.0-20260720",
"hugging_face_id": "meituan-longcat/LongCat-2.0",
"name": "Meituan: LongCat 2.0",
"created": 1784554658,
"description": "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...",
"context_length": 1048756,
"architecture": {
"modality": "text->text",
"input_modalities": [
"text"
],
"output_modalities": [
"text"
],
"tokenizer": "Other",
"instruct_type": null
},
"pricing": {
"prompt": "0.0000003",
"completion": "0.0000012",
"input_cache_read": "0.000000006"
},
"top_provider": {
"context_length": 1048756,
"max_completion_tokens": 262144,
"is_moderated": false
},
"per_request_limits": null,
"supported_parameters": [
"frequency_penalty",
"include_reasoning",
"logit_bias",
"max_tokens",
"min_p",
"presence_penalty",
"reasoning",
"repetition_penalty",
"seed",
"stop",
"temperature",
"tool_choice",
"tools",
"top_k",
"top_p"
],
"default_parameters": {},
"supported_voices": null,
"knowledge_cutoff": null,
"expiration_date": null,
"links": {
"details": "/api/v1/models/meituan/longcat-2.0-20260720/endpoints"
},
"endpoints": [
"/api/v1/chat/completions",
"/api/v1/completions",
"/api/v1/messages",
"/api/v1/responses"
],
"benchmarks": {
"design_arena": [],
"artificial_analysis": {
"intelligence_index": null,
"coding_index": 45.3,
"agentic_index": 14
}
},
"reasoning": {
"mandatory": false,
"default_enabled": true,
"supports_max_tokens": true
}
}References (1)
- Stored model catalog — Nov 5, 2026