Google: Gemini 4 Argon

Gemini 4 Argon is a Google model that accepts text, images, audio, video, and files as input, which makes it a candidate for workloads that combine documents, media, and plain text in one pipeline. It offers a context window of 1,048,576 tokens and allows up to 943,718 completion tokens, so both long inputs and long outputs fit. It supports tool calling and reasoning. The listing does not confirm structured output support or open weights, so verify those before relying on them. At $2 per million input tokens and $10 per million output tokens, it is a paid option where output-heavy jobs will drive most of the cost. Its blended benchmark score of 90.2 rests on a single independent benchmark, so treat its standing as encouraging but thinly evidenced. Shortlist it if you need multimodal input and very long context, and run your own tests before committing.