Google's September 30 announcement of Gemini 4 Argon, initially limited to cybersecurity partners in the Fairwind Program, followed by its October 13 general availability to paid Gemini subscribers, developers via API, and enterprise tools, anchors current trader views on the next frontier model in the series. The sparse mixture-of-experts large language model leads on benchmarks like DeepSWE v1.1 for long-horizon coding and the Vals Index for economic tasks, outpacing rivals including Anthropic's Claude Opus 5.5 and OpenAI's GPT-6 Astra, while offering a 1-million-token output limit and introductory pricing of $2 per million input tokens. Internal testing of a successor codenamed Carbon, combined with ongoing phased safety reviews and competitive pressure from Meta and others, shapes expectations around timelines for the subsequent release amid typical AI development slippage risks.