GPQA
88.9 score
LLM Leaderboard · Open Weight
LongCat 2.0 leaderboard — benchmarks, pricing, and comparisons.
Compare LongCat 2.0 vs GPT, Claude, Gemini, DeepSeek, open-weight, and frontier AI models using public benchmark scores, token pricing, context window, and access details.
Rank #10AskClash overall score: 72.3
$0.75 / $2.95Input and output token price, when published. Context: 1M.
Visit websiteVisit the model provider's website.
LongCat 2.0 benchmark snapshot
AskClash combines public LLM benchmark cells into a weighted percentile score and penalizes missing coverage so narrow rows do not dominate better-measured models.
Overall72.3
Benchmark cells4
Context1M
CreatorMeituan
LongCat 2.0 public benchmark scores
Cached benchmark values can include HLE, GPQA, SWE-bench, SWE-Pro, SWE-Atlas, Terminal-Bench, MCP Atlas, MMMU-Pro, ARC-AGI-2, Tau2, and model-specific coding or agent scores.
IFEval
90.0 score
SWE-Pro
59.5 score
Terminal-Bench
70.8 score
LongCat 2.0 vs other AI models
Use these comparison links to evaluate LongCat 2.0 against nearby LLMs by benchmark score, price, context window, and provider.
Related AI and tech coverage
Cached AskClash article matches that can provide release, provider, benchmark, pricing, or market context around this model.
Meituan open-sources LongCat-2.0, a 1.6T-parameter model that it says was trained on a 50K-chip cluster of domestic Chinese processors, without giving details (Reuters)
Techmeme
Sources: Meituan, Baidu, Xiaomi, and other Chinese tech giants have been trimming their workforces, fueling Chinese workers' concerns of being replaced by AI (Wency Chen/South China Morning Post)
Techmeme
Shifting to AI model customization is an architectural imperative
In the early days of large language models (LLMs), we grew accustomed to massive 10x jumps in reasoning and coding capability with every new model iteration. Today, those jumps have flattened into incremental gains. The exception is domain-specialized intelligence, where true step-function improvements are still the norm. When a model is fused with an organization’s…
How Can AI Find My Model? A Model-Finding Experimental Study Considering Data Formats, Embeddings, and Retrieval Strategies
arXiv AI
Last cached leaderboard date: June 30, 2026. This model page is generated from the AskClash LLM Leaderboard cache and linked from the live leaderboard.