Google: Gemini 3.8 Flash (batch)

Google's Gemini 3.8 Flash (batch) accepts text, image, video, audio, and file inputs, which makes it a fit for mixed-media workloads without a separate preprocessing model. 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 extended video can fit in a single request. It supports tool calling and reasoning; structured output support is not specified in the available data. At $0.375 per million input tokens and $1.875 per million output tokens, this model belongs on the shortlist for teams processing large volumes of multimodal or long-context material where cost per token matters. Its blended benchmark score of 69.0 comes from a single independent benchmark (AI Index score of 67.5), so its standing is thinly evidenced. Readers should run their own task-specific tests before committing, especially against similarly priced alternatives with broader benchmark coverage.