LongCat-2.5 Debuts With 1.6T Parameters and Native Visual Tokens
· unite.ai · popularity 16/100 · 0 similar stories today · Machine Learning Research (Artificial Intelligence)
Read the original at unite.ai →
Summary
LongCat introduced LongCat-2.5 on November 1, 2026, a natively multimodal mixture-of-experts model for long-horizon agentic tasks with 1.6 trillion total parameters and approximately 48 billion activated per token. LongCat said the release builds on LongCat-2.0 with stronger native visual understanding and agentic coding. Its training incorporates more long-horizon trajectories and large-scale long-horizon reinforcement learning for complex codebase development and full-project builds. The…
Found in: Unite.AI. Rating basis: single outlet; outlet tier 2 (unlisted); 1 feeds; feed position 17.