Meituan: LongCat 2.0 Rank
LongCat 2.0 has an overall score of 79 out of 100, tied for rank 23 of 291. The published scores are price 69, context 71, parameters 80, and recency 95. The overall score is their average. freshness is not published and is left out of the average.
Data sourced from OpenRouter API and manual data collection | Last updated: Nov 3, 2026, 8:01 AM UTC
Component scores are ranked in
tied for rank 23 of 291
Component scores
| Score | Result | Published value | Source |
|---|---|---|---|
| Freshness | — | — | AI Knowledge Cutoff |
| Recency | 95 | AI Release Date | |
| Context | 71 | 1.05M tokens, output 262K | AI Context Window |
| Parameters | 80 | 1.6T total, 48B active | AI Parameter Count |
| Price | 69 | $0.525 / 1M blended, $0.3 / 1M input, $1.2 / 1M output | AI Token Price |
22 listed models have a higher overall score. Among Meituan models, it ranks 1 of 1.
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...
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Frequently asked questions
What is the LongCat 2.0 rank?
LongCat 2.0 has an overall score of 79 out of 100, tied for rank 23 of 291. The published scores are price 69, context 71, parameters 80, and recency 95. The overall score is their average. freshness is not published and is left out of the average.
Where does LongCat 2.0 rank?
LongCat 2.0 is tied for rank 23 of 291. 22 listed models have a higher overall score. Among Meituan models, it ranks 1 of 1.
What scores make up LongCat 2.0?
LongCat 2.0 scores price 69 (AI Token Price), context 71 (AI Context Window), parameters 80 (AI Parameter Count), and recency 95 (AI Release Date). The overall score of 79 is the average of those 4.