Google: Gemini 3.5 Flash Lite

Gemini 3.5 Flash Lite is a Google model that accepts text, image, video, audio, and file inputs, making it usable for mixed-media workloads without switching models. It offers a context window of 1,048,576 tokens and can return up to 65,536 tokens per completion, so long documents, transcripts, or large codebases fit in a single request. It supports tool calling and reasoning; structured output support is not listed, so check before relying on schema-constrained responses. At $0.30 per million input tokens and $2.50 per million output tokens, it suits input-heavy jobs such as summarizing or querying large multimodal files, where the low input rate matters most. Output-heavy tasks will cost proportionally more. Its blended benchmark score of 31.8 rests on a single independent benchmark (AI Index 36.6), which is thin evidence. Shortlist it for long-context, multimodal intake on a budget, but test it on your own tasks before committing.