Google: Gemini 4 Carbon (batch)

Gemini 4 Carbon (batch) is a Google model that accepts text, images, audio, video, and files as input, which makes it suitable for mixed-media workloads without a separate preprocessing model. It offers a context window of 1,048,576 tokens and allows up to 943,718 completion tokens, so very long documents, transcripts, or outputs fit in a single request. It supports tool calling and reasoning. The listing does not confirm structured output support, so teams that depend on strict schemas should test that before committing. Pricing is $1.00 per million input tokens and $5.00 per million output tokens. It is a paid model with no free tier listed. Its blended benchmark score is 98.9, but that figure comes from a single independent benchmark (an AI index score of 99.0), so its standing is strong on paper and narrowly evidenced. Shortlist it if you need long-context multimodal input with tools at this price, and validate it against your own tasks before relying on that score.