Google: Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a Google model that accepts text, image, video, audio, and file inputs. It offers a context window of 1,048,576 tokens and up to 65,536 output tokens per response. It supports tool calling and reasoning, so it can handle multi-step tasks over long or mixed-media inputs. Structured output support is not confirmed, so teams relying on strict schemas should test it first. Pricing is $0.30 per million input tokens and $2.50 per million output tokens. Input-heavy work, such as processing long documents, transcripts, or video, benefits from the lower input rate, while output-heavy generation costs more. Its blended benchmark score of 34.2 comes from a single independent benchmark (AI Index score of 36.6), which is thin evidence of quality. Shortlist it if you need broad input modalities and very large context at a modest input price, and run your own evaluations before committing.