Google DeepMind FRONTIER API · Context: 1,048,576 tokens

Google Gemini 4 Carbon

Google DeepMind’s strongest model as of October 2026, built for long-horizon agentic engineering and cybersecurity defense. Ranks #1 on the Artificial Analysis Intelligence Index v5.0 (59).

Provider
Google DeepMind (Proprietary API)
Architecture
Proprietary frontier model (undisclosed)
Parameters
Proprietary (undisclosed)
Context Window
1,048,576 tokens (Max Output: 1,048,576 tokens)
API Pricing
Input: $2.00 / 1M · Cached: $0.10 / 1M · Output: $10.00 / 1M
Hardware Target
Cloud API Only

Interactive Token Cost Estimator (Gemini 4 Carbon)

Est. API Cost (0% Cache): --/mo | With 70% Prompt Cache: --/mo
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Architectural Strengths & Target Workloads

  • 88.2% on SEC-bench Pro, 54.8% on ExploitGym, 71.0% on CWE-bench (vendor-reported)
  • 0.0% attack success on Gray Swan Indirect Prompt Injection benchmark
  • Same introductory price as Gemini 4 Argon with 95% cached-input discount

Primary Engineering Workloads: Vulnerability Discovery & Patching · Long-Horizon Coding Agents · Secure Code Generation.

Frequently Asked Questions (Gemini 4 Carbon)

How much does Google Gemini 4 Carbon cost per 1M tokens?

Google Gemini 4 Carbon is priced at $2.00 per 1M uncached input tokens, $0.10 per 1M cached input tokens, and $10.00 per 1M output tokens (Introductory price ($4 / $20 per 1M after the intro period). Phased rollout: cyber defenders first, then Fairwind Program partners; no public developer model ID yet.).

What is the context window of Google Gemini 4 Carbon?

It supports up to 1,048,576 tokens (1,048,576 tokens) and a maximum generation output of 1,048,576 tokens.

Full TechPulse Engineering Analysis

Google's Gemini 4 Carbon Goes to Cyber Defenders First, Tops the Artificial Analysis Index at 59

Two weeks after Argon, Google DeepMind's new frontier model posts 88.2% on SEC-bench Pro and 0% prompt-injection success, but developers have to wait.

Read Full Technical Dispatch (5 min read) →
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