LongCat-2.0 Traffic & Growth
1.6T MoE trained entirely on AI ASICs
Estimated Website Traffic
— longcat.chatSource month: 2026年6月 · Source: Similarweb estimate
These are estimated visits to the independent product website, not users, customers, revenue, or product quality.
Data status: Valid estimate · Updated: 2026-07-08
Current Estimated Visits
867.0K
Previous Estimated Visits
1.0M
Absolute Gain
-155289
Monthly Growth
-15.2%
Avg. Duration
4m 3s
Pages per Visit
4.65 pages
Bounce Rate
36.4%
Category Rank
N/A
Global Rank
#57,304
Rank
#2,260
Domain Created
Jul 10, 2025
Domain Age
1.0 years
Estimated Website Visits Over Time
Traffic Sources
Top Regions
| Region | Percentage |
|---|---|
| China | 84.08% |
| United States | 4.04% |
| Singapore | 2.53% |
| Hong Kong | 1.22% |
| Taiwan | 0.99% |
Top Keywords
| Keyword | Traffic | Volume | CPC |
|---|---|---|---|
| longcat |
LongCat-2.0 について
LongCat-2.0 is an MIT-licensed 1.6T-parameter MoE model with ~48B active parameters, 1M context, LongCat Sparse Attention, and post-training for coding and agentic workflows. It was trained on AI ASIC superpods and integrates with Claude Code, OpenClaw, and Hermes.
