GPT-6 Astra Pro
OpenAI · released Sep 4, 2026
- Type
- Closed
- Input
- $10.00
- Output
- $50.00
- Cached
- $1.00
List price · per 1M tokens · OpenAI at 1.1M context · source ↗
Our take
Written Sep 5, 2026GPT-6 Astra Pro is OpenAI's proprietary flagship for long-document and extended-session workloads, handling up to 1.05 million tokens in a single request. It accepts text, images and files, but carries premium pricing with no budget tier available.
Choose this when you need the full 1.05-million-token context window for very long documents or extended sessions, or when you want OpenAI-native integration at the fastest throughput tier. Use it for Azure enterprise deployment with SOC-2 and GDPR infrastructure. Skip it if cost is a primary concern, if you need measured quality scores, or if you want to self-host rather than use an API.
The case for it
- Extremely long context window: roughly 700,000 words of English prose in a single pass.
- Wide provider choice with a fourfold price spread, letting you trade cost against throughput.
- The cheapest tier is also the fastest at 140 tokens per second, faster than pricier options on the same platform.
The case against it
- Premium pricing even at the cheapest tier, with no budget option available.
- Throughput degrades as price rises on the same provider: paying four times more yields half the speed.
- No measured quality scores in our data, so there is no independent benchmark evidence for its capabilities.
How good is it?
We hold no score for this model.
So there is no figure here for everyday use, coding, agent work or writing. That is a gap in our data, not a low score.
Where to rent it
Prices checked 2 hours ago — each listing carries its own date.
OpenAI, through OpenRouter
The lab is the cheapest at this context. The strip above and this offer are the same one, compared at 1.1M of context. One cheaper row below is outside that comparison: a non-standard pricing tier.
- per 1M tokens
- $10.00 in / $50.00 out
- Context served
- 1.1M
- Throughput
- ~51 tok/s
| Provider | In / out per 1M tokens | Context | Throughput | Trains on prompts | Logs prompts | Zero retention |
|---|---|---|---|---|---|---|
| OpenAIflex tierThrough OpenRouter | $5.00 / $25.00checked 2 hours ago | 1.1M128K max reply | 36 tok/s | No | Yesunknown period | Unknown |
| OpenRouterOpenRouter's own listing | $10.00 / $50.00checked 2 hours ago | 1.1M | not measured | Unknown | Unknown | Unknown |
| Microsoft Azure AIThrough OpenRouter | $10.00 / $50.00checked 2 hours ago | 1.1M128K max reply | 59 tok/s | No | No | Confirmed |
| OpenAIThrough OpenRouter | $10.00 / $50.00checked 2 hours ago | 1.1M128K max reply | 51 tok/s | No | Yesunknown period | Unknown |
| Microsoft Azure AIusThrough OpenRouter | $11.00 / $55.00checked 2 hours ago | 1.1M128K max reply | 48 tok/s | No | No | Confirmed |
| OpenAIfast tierThrough OpenRouter | $20.00 / $100.00checked 2 hours ago | 1.1M128K max reply | 97 tok/s | No | Yesunknown period | Unknown |
Across the 6 listings we hold: 5 say they do not train on prompts, 0 say they do and 1 does not say. 2 appear in the zero-retention registry we check; the rest are unknown to us.
What each host's API supports
From the parameter list each endpoint publishes. Streaming is omitted: nothing we hold reports it, for any model.
| Provider | Tool calling | JSON output | Strict schema |
|---|---|---|---|
| OpenAIflexThrough OpenRouter | ✓ | ✓ | ✓ |
| OpenRouterOpenRouter's own listing | ✓ | ✓ | ✓ |
| Microsoft Azure AIThrough OpenRouter | ✓ | ✓ | ✓ |
| OpenAIThrough OpenRouter | ✓ | ✓ | ✓ |
| Microsoft Azure AIusThrough OpenRouter | ✓ | ✓ | ✓ |
| OpenAIfastThrough OpenRouter | ✓ | ✓ | ✓ |
Tool calling: 6 of 6 listings say yes. JSON output: 6 of 6 listings say yes. Strict schema: 6 of 6 listings say yes.
When we formed this view
Recent changes
What moved
first indexed by our pipelineEach date is the day we first saw the change, or the day the maker announced it.
What we do not know about this model yet
- No independent board has scored it, so we hold no quality figures at all.
- Nothing we hold says whether an endpoint streams, so we do not show it either way.
- 1 of 6 listings does not say whether it trains on prompts.
- We hold no batch or off-peak rate for any of its listings.
Licence and identifiers
What the licence allowsWe hold no licence record for this model. Inside are the identifiers you need to pull it — its Hugging Face repo where we have one, our slug and a machine-readable card.
Licence
We hold no licence record for this model, and no record of published weights either — so we can neither summarise its terms nor point you at the weights.
Identifiers
- Takes in, gives back
- Text, images and documents in, text out
- Catalogue slug
- openai-gpt-6-astra-pro