inclusionAI: Ling-2.6-1T

Ling-2.6-1T is a text-only model from inclusionAI with a 262,144-token context window and support for tool use. It does not offer native reasoning mode, and structured output support is unconfirmed. The long context window suits workloads involving large documents or extended conversations, while tool support makes it viable for agentic pipelines that need to call external functions. On price, it sits at $0.075 per million input tokens and $0.625 per million output tokens, which is competitive for input but moderately priced on output. Its blended benchmark score of 42.5 comes from a single benchmark, so performance claims are thin and should be treated with caution. Teams willing to run their own evaluations might find it worth testing for long-context tasks, but buyers who need broad, independently verified performance data before committing will want to wait for wider benchmark coverage.