Ant Bailing's Trillion-scale Flagship Model Ling-2.6-1T Released: Focuses on 'Fast Thinking', Compares to GPT-5.4 Non-Inference Version

Ant Group's Bailing Large Model Team recently released Ling-2.6-1T, a trillion-scale comprehensive flagship model focusing on the "fast thinking" mechanism. The model uses a hybrid architecture of MLA and LinearAttention, abandoning multi-step reasoning to reach results with minimal Token overhead, significantly reducing output costs and inference latency.

Ling-2.6-1T's overall intelligence level is comparable to GPT-5.4 non-inference version. It excels in high-difficulty reasoning tasks and Agent execution capabilities (code generation, API calls, etc.), supporting 256K ultra-long context. Currently, API services are available; developers can call via official platforms or OpenRouter, with a one-week free trial.

In addition, the model will be open-sourced soon, enabling local deployment and secondary development. With its addition, Bailing's model matrix becomes more complete, covering multi-level needs from lightweight to flagship.