Model comparison
Gemini 4 Carbon vs Gemini 4 Argon
Compare Gemini 4 Carbon and Gemini 4 Argon using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Model comparison
Compare Gemini 4 Carbon and Gemini 4 Argon using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
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.
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.
| Model | Access | Estimated total (USD) |
|---|---|---|
| Gemini 4 ArgonGoogle | $0.017 | |
| Gemini 4 CarbonGoogle | No reviewed rate |
Quick take
A Google model for complex software engineering and cybersecurity defense, initially available to selected trusted partners.
Access is restricted. Announced prices do not establish public API availability.
Google's Gemini 4 model for coding, research and tasks involving large collections of text, images, audio or video.
This is a text-output model, not an image generator or Live API model. Introductory pricing ends November 30, 2026; tool fees and reasoning can increase the final bill.
Compare the published facts
Values use each provider's own published units and limits. A blank means the provider did not publish a directly comparable value in the sources reviewed.
| Text & reasoning | Gemini 4 Carbon | Gemini 4 Argon |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | Not published | 1,048,576 tokens shared by input, thinking and output |
| Maximum outputProvider-published response limit, where available. | Not published | 65,536 synchronous; long decode uses the remaining context |
| Knowledge cutoffLatest 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. | Not published | March 2026 |
| Input priceCurrent standard list price per million input tokens unless noted. | $2 / 1M introductory; $4 afterward | $2 / 1M through November 30; $4 from December 1, 2026 |
| Output priceCurrent standard list price per million output tokens unless noted. | $10 / 1M introductory; $20 afterward | $10 / 1M through November 30; $20 from December 1, 2026 |
| InputsMedia types accepted by the listed model endpoint. | Text; other formats not published | Text, image, video, audio, PDF |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | API tool support not published | Functions, code execution, search, file search; computer use in preview |
How to choose
Start with the job you need to complete, then validate cost, access, and policy details on your exact provider route.
Carbon-specific retention and training terms are not published. Confirm the terms of approved access with Google.
Provider and API links
Paid Gemini API prompts and responses are not used to improve Google's products. Limited safety logging still applies.
Provider and API links
Frequently asked questions
Gemini 4 Carbon: A Google model for complex software engineering and cybersecurity defense, initially available to selected trusted partners. Gemini 4 Argon: Google's Gemini 4 model for coding, research and tasks involving large collections of text, images, audio or video.
Consider Gemini 4 Carbon when your priority is Complex software engineering. Consider Gemini 4 Argon when your priority is Codebase changes. Test both with your own data and provider route before committing.
No. This comparison aligns provider-published facts for the Text & reasoning category. It does not claim a universal winner or combine incompatible third-party benchmark scores.