Gemini 4 Argon: Benchmarks, Pricing & Security (2026)

Gemini 4 Argon, announced by Google DeepMind on September 30, 2026, is a frontier model initially restricted to trusted cyber defenders in the Fairwind Program, with broader paid API and Google AI Ultra access planned but undated. Its introductory pricing of $2 per million input tokens and $10 per million output tokens is lower than Claude Opus 5.5 and GPT-6 Astra, while its defining specification is a one-million-token output limit, although Google has not confirmed its input context window. Vendor-reported benchmarks show strengths in long-horizon software work, legal and finance tasks, automation, and long-context retrieval, but weaker performance than rivals on terminal-based and large-codebase agent tasks; independent evaluations similarly offer mixed results, with Claude Opus 5.5 leading Argon on the Artificial Analysis Intelligence Index while Argon tops the Vals Index. Google describes safeguards including misuse training, red teaming, and monitors for reasoning and actions, but has not released a prompt-injection benchmark score, leading the guide to recommend that enterprises independently test the model and enforce controls over agent tools, data access, and execution. Overall, Argon is presented as a competitively priced and potentially capable option for specialized large-output workloads, but one whose limited availability, incomplete third-party validation, and security implications warrant cautious evaluation before production deployment.

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