Meituan: LongCat 2.0

Text input Text output
Author's 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...

Key Specifications
Cost
$$$$
Context
1M
Parameters
1.6T (Rumoured)
Released
Jul 20, 2026
Speed
Ability
Reliability
Supported Parameters

This model supports the following parameters:

Stop Max Tokens Seed Reasoning Top P Frequency Penalty Presence Penalty Temperature Include Reasoning Logit Bias Tools Tool Choice Min P
Features

This model supports the following features:

Tools Reasoning
Performance Summary

Meituan's LongCat 2.0, a sparse mixture-of-experts model with 48B active parameters, demonstrates exceptional reliability with a 99% success rate across benchmarks, consistently providing usable responses. However, its speed performance tends to be slower, ranking in the 18th percentile, and its pricing is moderate, falling into the 39th percentile. The model exhibits significant strengths in several key areas. It achieves perfect accuracy in General Knowledge, Reasoning, and Ethics, often being the most accurate model at its price point and among models of similar speed. Its Coding and Mathematics capabilities are also very strong, ranking in the 97th and 95th percentiles respectively. While its Hallucinations accuracy is 94.0%, indicating a good ability to acknowledge uncertainty, its Instruction Following (76.8%) and Email Classification (96.0%) performance are more moderate compared to its other high-performing categories. The primary weakness across all benchmarks is its consistently longer response times, particularly noticeable in Coding and Mathematics.

Model Pricing

Current Pricing

Feature Price (per 1M tokens)
Prompt $0.3
Completion $1.2
Input Cache Read $0.006

Price History

Available Endpoints
Provider Endpoint Name Context Length Pricing (Input) Pricing (Output)
AtlasCloud
AtlasCloud | meituan/longcat-2.0-20260720 1M $0.3 / 1M tokens $1.2 / 1M tokens
Benchmark Results
Benchmark Category Reasoning Strategy Free Executions Accuracy Cost Duration
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