*Pricing and migration requirements were checked against OpenAI's API documentation on September 10, 2026. Prices exclude taxes, cloud-platform differences, and application infrastructure.*
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The short answer
GPT-6 Astra costs $10 per million input tokens, $1 per million cached input tokens, $12.50 per million cache-write tokens, and $50 per million output tokens at standard processing. Prompts above 272,000 input tokens are charged at twice the input and cache rates and 1.5 times the output rate for the full request. Search, computer use, and other tools may add separate fees.
Cost examples
| One request | Approximate token cost |
|---|---|
| 20,000 input + 3,000 output | $0.35 |
| 100,000 input + 10,000 output | $1.50 |
| 300,000 input + 20,000 output | $7.50 |
The third example uses the long-context multiplier: $6.00 input plus $1.50 output. It excludes caching, tool calls, retries, and Fast mode. OpenAI says Fast mode can deliver up to twice the speed at twice the standard price.
What changes during migration
Set the model to gpt-6-astra, then remove unsupported temperature, top_p, and log-probability settings. If the current application uses none or minimal reasoning, begin at low; Astra supports low through max. Tool calling requires the Responses API even though basic Chat Completions remain supported.
Do not treat a model-name edit as a production migration. Astra introduces longer runs, asynchronous tools, mid-turn steering, and more expensive failure modes. Pin a snapshot when reproducibility matters, preserve idempotency keys, cap tokens and tool calls, and test cancellation, duplicate callbacks, partial results, safety stops, and retries.
A safe rollout
Before production access to sensitive systems, complete the Astra enterprise data checklist. Teams still choosing a provider should start with Astra vs Claude for business.
Shadow 20 to 50 real tasks against the current model. Compare accepted completion, reviewer minutes, latency, token and tool cost, retry rate, and unauthorized actions. Route only the workflows where Astra lowers cost per accepted result. Keep cheaper models for classification, extraction, and routine rewriting.
Bottom line
Astra can be economical for a difficult $100 task and wasteful for a reliable five-cent task. Retrieve only relevant context, cache stable prefixes, constrain output, budget tool calls, and migrate by workflow rather than by account.
Transparency
How this guide was checked
Editorial accountability
Who checked this guide
- Evaluation type
- Research-based verification
- Last materially checked
- Evidence
- 4 listed sources
Hands-on testing is identified explicitly. Research-based coverage uses cited product documentation and other named sources; it does not imply every paid plan was used. Read the full methodology.
Editorial basis
What this guidance is based on
- Editorial basis
- Source-led analysis
- Primary references
- 4
- Products covered
- 1
- Last checked
- 2026-09-10
Important limits
- • Features, availability, and pricing can change after publication; confirm consequential details with the provider.
Sources and references
References cited by this article. Check the original source for scope, dates and current terms.
Frequently asked questions
How much does the GPT-6 Astra API cost?
$10 per million input tokens, $1 cached input, $12.50 cache writes, and $50 output at standard processing, before long-context and tool charges.
When does Astra long-context pricing apply?
When input exceeds 272,000 tokens, the full request uses 2x input/cache rates and 1.5x output rates.
Does Astra require the Responses API?
Tool calling requires the Responses API. Basic Chat Completions are supported, but several familiar sampling and log-probability parameters are not.
Should every API call migrate to Astra?
No. Route only tasks where better accepted outcomes justify the higher complete cost. Keep less expensive models for routine work that already passes.
Tools mentioned in this article
ChatGPT
The general-purpose AI assistant that started it all
OpenAI's flagship conversational AI model, powering everything from casual chat to complex reasoning, coding, and creative work.
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