Model comparison
Daybreak Blue vs GPT-6 Astra
Compare Daybreak Blue and GPT-6 Astra using the same provider-sourced text & reasoning rubric. No mystery score and no invented benchmark ranking.
Model comparison
Compare Daybreak Blue 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) |
|---|---|---|
| Daybreak BlueOpenAI | OpenAI | $0.034 |
| GPT-6 AstraOpenAI | OpenAI | $0.085 |
Quick take
OpenAI's approval-gated access to its flagship models for defensive security work, with fewer cybersecurity refusals.
Requires Daybreak approval and works only through the Responses API. It does not include Zero Data Retention, cannot power customer-facing products, and keeps standard safeguards on GPT-6 Astra. The alias can move to a newer model, changing behavior and price.
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.
Access is still rolling out, fine-tuning is not supported, and requests above 272K input tokens use higher rates across the full request. Confirm access and measure total task cost before standardizing on Astra.
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 | Daybreak Blue | GPT-6 Astra |
|---|---|---|
| Context windowMaximum combined prompt and working context documented by the provider. | 1.05M tokens | 1.05M tokens |
| Maximum outputProvider-published response limit, where available. | 128K tokens | 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. | February 16, 2026 | April 30, 2026 |
| Input priceCurrent standard list price per million input tokens unless noted. | $4 / 1M | $10 / 1M |
| Output priceCurrent standard list price per million output tokens unless noted. | $20 / 1M | $50 / 1M |
| InputsMedia types accepted by the listed model endpoint. | Text, image | Text, image |
| Tools & agentsSelected native tools and agent-building capabilities, not an exhaustive list. | Functions, web/file search, code, computer, MCP | 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.
OpenAI says API inputs and outputs are not used for model training by default. Daybreak approval does not include Zero Data Retention; default abuse-monitoring logs may be kept for up to 30 days unless other controls are approved.
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
Daybreak Blue: OpenAI's approval-gated access to its flagship models for defensive security work, with fewer cybersecurity refusals. 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 Daybreak Blue when your priority is Vulnerability triage. 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.