Gemini 4 Carbon Benchmarks, Pricing (2026)

Google DeepMind announced Gemini 4 Carbon on October 28, 2026 as its strongest proprietary model, designed for cybersecurity defense and long-running agentic coding, but access is currently limited to selected cyber defenders and trusted Fairwind Program partners. Google lists introductory pricing of $2 per million input tokens and $10 per million output tokens, rising later to $4 and $20, while third-party sources report a 1 million-token context window. Independent evaluations place Carbon first on Artificial Analysis’s overall Intelligence Index, although Claude Opus 5.5 performs better on one coding-agent benchmark and Carbon’s reported hallucination rate is higher than Gemini 4 Argon’s. Google reports strong results in vulnerability discovery, exploitation, patching, and prompt-injection testing, but these cybersecurity figures are self-reported, were not independently replicated, and in some cases were tested without guardrails. Because its capabilities are dual-use, the discussion emphasizes enterprise controls such as centralized AI policy gateways, least-privilege tool access, runtime monitoring, sandboxing, human approval for risky actions, token limits, and internal red-teaming, arguing that organizations should prepare governance measures even if they cannot yet access the model.

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