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Model details
GPT-6 Astra
GPT-6 Astra is positioned as the newest member of OpenAI's GPT-6 family, introduced through a phased rollout that prioritized organizations taking part in OpenAI's application-based cybersecurity program before broader availability. Coverage of the launch frames Astra as OpenAI's latest flagship model rather than a third-party release, reflecting a creator lineage tied to the GPT-6 line. The phased access strategy is itself part of the story: by directing initial use toward security-focused teams, OpenAI signaled that the model is intended for sensitive, high-stakes reasoning tasks where advanced capabilities need to be tested under controlled conditions before wider deployment.
Beyond its security-oriented introduction, GPT-6 Astra has already begun attracting attention from independent developer-tooling evaluators, who have put it to work in code review workflows and reported meaningful gains tied to longer that quick-info value handling and stronger reasoning. Those evaluations highlight that the model is usable inside third-party engineering pipelines, not only inside OpenAI's own products, and that its cost structure becomes a more important consideration as reasoning depth is pushed further. The combination of phased enterprise access, demonstrated usefulness for code understanding, and a design that can be integrated into external tooling suggests GPT-6 Astra is aimed at teams that need both careful, context-aware reasoning and a model that fits cleanly into existing development and security workflows.
Quick Info
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- Neon
- Model key
- gpt-6-astra
- Release date
- Sep 4, 2026
- Last updated
- Sep 4, 2026
- Knowledge cutoff
- 2026-04-30
- AI SDK package
@ai-sdk/openai- Input modalities
- Output modalities
- Capabilities
Cost
- Input token cost
- $10.00
- Output token cost
- $50.00
Limits
- Input tokens
- 922,000 tokens
- Output tokens
- 128,000 tokens
- Context window
- 1,050,000 tokens
Transparent token rates
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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.
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