inclusionAI: Ling 3.0 Flash

Ling 3.0 Flash is a text-only model from inclusionAI. It accepts a context window of 262,144 tokens and can return up to 32,768 tokens in a single completion, which leaves room for long documents, extended conversations, or large codebases in one request. It supports tool calling and a reasoning mode, so it can be wired into agent workflows that call external functions. The facts available do not confirm structured output support, and its open-weights status is unlisted. The main reason to shortlist it is cost. At $0.021 per million input tokens and $0.063 per million output tokens, it sits at the low end of paid pricing, which suits high-volume or long-context workloads where spend adds up quickly. The tradeoff is evidence: there is no independent benchmark coverage yet, so quality is unproven. Teams should run their own evaluations before relying on Ling 3.0 Flash in production.