Model comparison
Gemini 4 Carbon vs GPT-6 Astra
Compare Gemini 4 Carbon and GPT-6 Astra using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Model comparison
Compare Gemini 4 Carbon and GPT-6 Astra 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) |
|---|---|---|
| GPT-6 AstraOpenAI | OpenAI | $0.085 |
| 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.
OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
Use Responses for tool calling. Ultrafast has different rates and regional limits from Standard. Reasoning, long prompts and tools affect total task cost; faster token generation does not guarantee a faster completed workflow.
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 | GPT-6 Astra |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | Not published | 1.05M tokens |
| Maximum outputProvider-published response limit, where available. | Not published | 128K tokens |
| 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 | April 30, 2026 |
| Input priceCurrent standard list price per million input tokens unless noted. | $2 / 1M introductory; $4 afterward | $10 / 1M |
| Output priceCurrent standard list price per million output tokens unless noted. | $10 / 1M introductory; $20 afterward | $50 / 1M |
| InputsMedia types accepted by the listed model endpoint. | Text; other formats not published | Text, image |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | API tool support not published | Functions, search, code, computer, image, MCP |
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
OpenAI says API content is not used for model training by default. Standard abuse-monitoring logs may be retained for up to 30 days, with additional controls available to qualifying organizations.
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. GPT-6 Astra: OpenAI's most capable model for difficult end-to-end work, combining frontier reasoning with a million-token context window and a broad set of agent tools.
Consider Gemini 4 Carbon when your priority is Complex software engineering. Consider GPT-6 Astra when your priority is Complex, long-running agent workflows. 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.