Google: Gemini 4 Argon (batch)

Gemini 4 Argon (batch) is a Google model that accepts text, images, audio, video, and files as input. It offers a context window of 1,048,576 tokens and allows up to 943,718 completion tokens, so very long inputs and long outputs both fit within a single request. It supports tool calling and reasoning; the listing does not specify structured output support or whether weights are open. At $1.00 per million input tokens and $5.00 per million output tokens, it suits teams with large multimodal workloads who want long-context capacity without paying a premium. The output rate is five times the input rate, so jobs that produce lengthy responses will cost noticeably more than jobs that read a lot and write little. Its blended benchmark score of 90.2 is based on only one independent benchmark, so treat its standing as provisional and test it on your own tasks before committing.