inclusionAI: every model, side by side

inclusionAI's Ring-2.6-1T, a trillion-parameter thinking model with 63B active, for agent workflows that must be capable and cheap. Tuned for coding agents, tool use and long-horizon execution. inclusionAI reports leading results on PinchBench, ClawEval, TAU2-Bench and GAIA2-search.

inclusionAI's trillion-parameter Ling, using a fast-thinking approach that cuts cost to roughly a quarter of comparable models. inclusionAI reports leading results on AIME26 and SWE-bench Verified, aimed at coding, complex reasoning and large-scale agent workflows.

inclusionAI's Ling-2.6-flash, 104B total parameters with 7.4B active, built for agents that need fast answers and few tokens. inclusionAI reports it level with comparable models at similar scale while spending noticeably less on coding, document processing and light agent work.