Model detail
gpt-6-astra
GPT-6 Astra is OpenAI's flagship model for demanding end-to-end work. It is suited for advanced analysis, software engineering, deep research, scientific work, and document creation, with particular strengths in long-horizon agentic tasks that involve computer and browser use.
Model specs
- Context length
- 1.05M
- Max output
- 128K
- I/O modalities
- Text / Image
- Released
- 2026-09
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API endpoints
One MixRoute gateway, OpenAI-compatible
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OpenAI-compatible
/v1/chat/completionsPOST
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Tiered pricing
Unit: /1M Tokens
| Tier | Input /1M Tokens | Output /1M Tokens | Cache read /1M Tokens | Cache write /1M Tokens |
|---|---|---|---|---|
| standard Length ≤ 272K | $10.0000 | $50.0000 | $1.0000 | $12.5000 |
| long_context Length > 272K | $20.0000 | $75.0000 | $2.0000 | $25.0000 |
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Selection summary
Quickly judge whether it fits your workload
What is this model good for?
Demanding end-to-end agentic workflows
Use GPT-6 Astra for advanced analysis, software engineering, deep research, scientific work, and document creation. It is particularly strong at long-horizon agentic tasks that involve computer and browser use.
What should you check before using it?
Confirm context window and pricing for your workload
Check the model's current context window, output limits, and pricing tier. Test representative agentic workflows that involve tool use, browser interaction, and computer control before committing to production.
Why use it through MixRoute?
Use the OpenAI-compatible endpoint with stable model ID
Use the confirmed compatible endpoint with model ID gpt-6-astra through MixRoute, then run the same integration tests used for the current client.
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Token cost estimator
Live estimate from this page's pricing, not an actual bill
Share of the same prefix read repeatedly, up to 100%
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FAQ
GPT-6 Astra is OpenAI’s flagship model for demanding end-to-end work. It is designed for advanced analysis, software engineering, deep research, scientific work, and document creation. It has particular strengths in long-horizon agentic tasks that involve computer and browser use.
One endpoint, a testable decision
Test this model and alternate routes with the same request format
Start from a real workload, then let quality, total cost, and failure conditions decide whether to send production traffic.