Ling-2.6-1T is a trillion-parameter flagship language model developed by InclusionAI (an AI initiative by Ant Group). Released in April 2026, it is designed as a high-efficiency "instant" model focused on real-world agentic workflows and complex software engineering tasks. The model serves as the primary non-reasoning successor in the Ling series, optimizing for fast execution and high throughput at a large scale.
The model utilizes a unique hybrid architecture that combines Multi-Head Latent Attention (MLA) with Linear Attention mechanisms. This design allows it to bypass traditional "slow thinking" or internal reasoning traces (common in reasoning-heavy models), instead employing a "fast thinking" approach that reduces token consumption and inference costs. Despite being a dense-class trillion-parameter model, it is engineered for extreme efficiency, achieving state-of-the-art results on benchmarks such as AIME26 and SWE-bench Verified.
With a context window of 262,144 tokens, Ling-2.6-1T is optimized for processing extensive codebases and managing long-horizon agent trajectories. It features advanced capabilities in structured output generation and tool-calling, making it suitable for integration into persistent AI agents and IDE-based coding assistants. The model is part of a broader family of open-weight releases that include efficient flash and mini variants aimed at balancing performance across various compute budgets.