LongCat 2.0

Tool callingReasoning

Hugging Face Launch post

Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window

Context: 1.0M
Released: 3mo ago
Input / 1M tokens: $0.30
Output / 1M tokens: $1.20
Cached input / 1M tokens: $0.006

Sources:models.devOpenRouter

Benchmarks

DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.

Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.

No benchmark results have been matched to this model yet.

Specifications

Developer: Meituan
Model family: —
Type: Language model
Predecessor: —
Successor: —
Released: June 30, 2026
Model ID: meituan/longcat-2.0
Openness: Closed
License: —
Input modalities: text
Output modalities: text
Modality: text->text
Tokenizer: Other
Max output tokens: 262K
Hugging Face: meituan-longcat/LongCat-2.0
Source freshness: Metadata synced Oct 8, 2026, 10:17 PM UTC

Additional source evidence

Source model: meituan/longcat-2.0
Source family: longcat
Last updated: 2026-06-30
Model context: 1M
Model output limit: 131K
Open weights: No
File attachments: No
Reasoning: Yes
Tool calling: Yes
Temperature control: Yes

Published benchmarks

Benchmark	Score	Evaluation details	Evidence
SWE-Bench Pro	59.5 · resolve rate	2026-06-30	Source
SWE-Bench Multilingual	77.3 · resolve rate	2026-06-30	Source
Terminal-Bench	70.8 · success rate	2.1 · 2026-06-30	Source
GPQA Diamond	88.9 · accuracy	2026-06-30	Source
BrowseComp	79.9 · accuracy	2026-06-30	Source
IFEval	90 · accuracy	2026-06-30	Source
FORTE	73.2 · success rate	2026-06-30	Source

Complete source record (JSON)

{
  "id": "meituan/longcat-2.0",
  "name": "LongCat-2.0",
  "description": "Meituan LongCat-2.0, a reasoning model with tool calling and a 1M-token context window",
  "family": "longcat",
  "last_updated": "2026-06-30",
  "attachment": false,
  "reasoning": true,
  "tool_call": true,
  "temperature": true,
  "modalities": {
    "input": [
      "text"
    ],
    "output": [
      "text"
    ]
  },
  "limit": {
    "context": 1000000,
    "output": 131072
  },
  "benchmarks": [
    {
      "name": "SWE-Bench Pro",
      "score": 59.5,
      "source": "https://github.com/meituan-longcat/longcat-2.0",
      "metric": "resolve rate",
      "date": "2026-06-30"
    },
    {
      "name": "SWE-Bench Multilingual",
      "score": 77.3,
      "source": "https://github.com/meituan-longcat/longcat-2.0",
      "metric": "resolve rate",
      "date": "2026-06-30"
    },
    {
      "name": "Terminal-Bench",
      "score": 70.8,
      "source": "https://github.com/meituan-longcat/longcat-2.0",
      "metric": "success rate",
      "version": "2.1",
      "date": "2026-06-30"
    },
    {
      "name": "GPQA Diamond",
      "score": 88.9,
      "source": "https://github.com/meituan-longcat/longcat-2.0",
      "metric": "accuracy",
      "date": "2026-06-30"
    },
    {
      "name": "BrowseComp",
      "score": 79.9,
      "source": "https://github.com/meituan-longcat/longcat-2.0",
      "metric": "accuracy",
      "date": "2026-06-30"
    },
    {
      "name": "IFEval",
      "score": 90,
      "source": "https://github.com/meituan-longcat/longcat-2.0",
      "metric": "accuracy",
      "date": "2026-06-30"
    },
    {
      "name": "FORTE",
      "score": 73.2,
      "source": "https://github.com/meituan-longcat/longcat-2.0",
      "metric": "success rate",
      "date": "2026-06-30"
    }
  ],
  "release_date": "2026-06-30",
  "open_weights": false
}

Infrastructure

Provider availability

All providers

Provider	Endpoint	Context	Input /M tokens	Output /M tokens	Cached input /M tokens	Cache write /M tokens	Uptime 1d	Data handling
AtlasCloud	atlas-cloud/fp8	1.0M	$0.30	$1.20	$0.006	—	99.92%	ZDR: No Training: Unknown Prompt logging: Unknown Retention: Unknown ZDR source Privacy policy Checked 2026-10-15

Provider data:OpenRouter