inclusionAI: Ling 3.0 Flash VL

Ling 3.0 Flash VL is a multimodal model from inclusionAI that accepts text, image, and video input and returns text. It offers a 262,144-token context window with up to 32,768 output tokens per response, enough room for long documents or extended visual material in a single request. It supports tool calling and a reasoning mode. Structured output support is not documented, so teams that depend on strict schema adherence should test it before committing. The main draw is cost: $0.021 per million input tokens and $0.0616 per million output tokens put it at the low end of paid options. That makes it worth shortlisting for high-volume image or video processing, agent pipelines, and batch jobs where per-token spend drives the decision. Its evidence base is thin, though. The blended score of 38.6 comes from a single independent benchmark (AI index 40.5), so its standing is largely unproven, and buyers should run their own evaluations on representative tasks.