Google Releases Gemini 4 Argon API With 1M Token Output Limit

Google DeepMind has made Gemini 4 Argon generally available to developers, enterprises, and paid Gemini subscribers. Gemini 4 Argon is a sparse mixture-of-experts (MoE) frontier model built for long, multi-step work. Its target domains are coding, finance, legal, science, and cybersecurity.

Google first announced Argon on September 30 for a small group of cyber defenders. It now reaches the paid Gemini API at $2 per million input tokens and $10 per million output tokens. The key change for developers is output length: Argon can generate up to 1M tokens in a single response.

TL;DR

• Size: Parameter count not disclosed (sparse MoE). 1M token window shared by input and output.
• Runs on: Google's cloud only, via Gemini API, AI Studio, and Gemini platform. Trained on TPUs. No open weights.
• Performance: Leads Google's table on knowledge work, long context, and video. Mixed on agentic coding.
• Best: 91.7% on LVBench (long video understanding).
• Worst: 55.0% on FrontierSWE v2, last of 4 models in Google's table.

What Is Gemini 4 Argon?

According to the model card, Argon is a new model, not a fine-tune of an earlier Gemini. It is a large-scale sparse MoE transformer with native multimodal support. It accepts text, images, audio, and video, and outputs text. Google trained it on TPUs using JAX and ML Pathways. The knowledge cutoff is March 2026. Google has not disclosed total or active parameter counts.

via MarkTechPost