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Google

Gemini 4 Carbon

A Google model for complex software engineering and cybersecurity defense, initially available to selected trusted partners.

Plain-English overview

What Gemini 4 Carbon actually is

Carbon builds on Argon for extended coding and research workflows. Google reports improvements in finding vulnerabilities and producing patches.

Public API specifications are not yet available. Context limits, supported formats and tool access remain unconfirmed.

Good fit for

  • Complex software engineering
  • Authorized security research
  • Code review and patching

Category comparison

The facts that matter for text models

These are provider-published specifications, not Cody benchmark scores. Follow the linked sources for current limits and endpoint-specific exceptions.

Context window
Not publishedMaximum combined prompt and working context documented by the provider.
Maximum output
Not publishedProvider-published response limit, where available.
Knowledge cutoff
Not publishedLatest reliable knowledge date explicitly published by the model provider. Search and connected tools can retrieve newer information but do not change the model's built-in cutoff.
Input price
$2 / 1M introductory; $4 afterwardCurrent standard list price per million input tokens unless noted.
Output price
$10 / 1M introductory; $20 afterwardCurrent standard list price per million output tokens unless noted.
Inputs
Text; other formats not publishedMedia types accepted by the listed model endpoint.
Tools & agents
API tool support not publishedSelected native tools and agent-building capabilities, not an exhaustive list.

Pricing & comparisons

Estimate your cost

Set your usage. Your estimate updates as you type.

Example: 6,000 input tokens for 10 pages, plus a 500-token summary. Page lengths vary; adjust the numbers below.

One run sends your input to the model once and receives an answer. Tokens are pieces of text: input is what you send, output is the answer you receive.

Advanced options

Gemini 4 Carbon

Google

Estimated total (USD)

No reviewed rate

For the usage above · USD · API pricing, not a subscription

How this estimate works

Estimates exclude taxes, tools, cache storage/writes, free allowances and custom discounts. Image estimates cover output only, not prompt or reference-image charges. Quality modes differ by model. Unlisted settings are not treated as free.

API and provider access

Where to get Gemini 4 Carbon

Availability

Regions and access stage

Restricted rollout through Google's Fairwind Program.

Access requires Google approval; general availability has not been announced.

Check live availability

Data and training

The route matters.

Carbon-specific retention and training terms are not published. Confirm the terms of approved access with Google.

This is a concise reading of the cited provider material, not legal advice. A third-party gateway can have different storage, routing, training, and residency terms from the model maker's direct API.

Read the provider policy

Frequently asked questions

Gemini 4 Carbon FAQ

What is Gemini 4 Carbon?

A Google model for complex software engineering and cybersecurity defense, initially available to selected trusted partners. Carbon builds on Argon for extended coding and research workflows. Google reports improvements in finding vulnerabilities and producing patches.

When was Gemini 4 Carbon released?

Gemini 4 Carbon was released on October 28, 2026 according to the cited provider materials.

Where can I access Gemini 4 Carbon?

Restricted rollout through Google's Fairwind Program. The access routes listed in this guide are Google.

How much does Gemini 4 Carbon cost?

Announced: $2 input · $10 output / 1M tokens. Introductory rates; later $4 input and $20 output per 1M tokens. Cached input is discounted 95%. The end date is not published.

Where is Gemini 4 Carbon available?

Restricted rollout through Google's Fairwind Program. Access requires Google approval; general availability has not been announced.

Is my Gemini 4 Carbon API data used for training?

Carbon-specific retention and training terms are not published. Confirm the terms of approved access with Google. The policy belongs to the provider route and account terms, so verify it again before production use.

Price comparison

One price per model, using the same input/output mix. We weight each API rate by its share of one million total tokens and use the lowest matching reviewed route. This is a comparison rate, not a cost per task or a quality score. Tokenizers, caching, reasoning and long context can change your actual bill.

Blended token costper 1M total tokens · USD

75% input + 25% output · no cache discounts

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