How do you start calling GPT-6 Astra?

Use the model ID gpt-6-astra through the OpenAI-compatible chat completions endpoint. Check the current API documentation for the exact endpoint path and any required headers before sending your first request.

Can you call GPT-6 Astra with the OpenAI SDK you already use?

Yes. GPT-6 Astra is served through an OpenAI-compatible endpoint. You can continue using your existing OpenAI SDK by changing the base URL and model ID. Test your integration with a representative workload before switching production traffic.

What is the max output length for gpt-6-astra?

gpt-6-astra supports up to 128000 output tokens per request. Plan your prompts to stay within this limit, and use the max_tokens or max_completion_tokens parameter to control output length.

When was GPT-6 Astra released, and is it still maintained?

GPT-6 Astra was released on 2026-09-03. Its catalog status is stable. Check the model page for deprecation notices before you build a long-lived integration on it.

Does GPT-6 Astra support tool calling and structured output?

As OpenAI’s flagship model for agentic workflows, GPT-6 Astra is expected to support tool calling and structured output. Confirm the current capabilities in the model documentation and test with your specific tool definitions and JSON schemas before production use.

How much does prompt caching save on gpt-6-astra?

gpt-6-astra supports prompt caching, which can significantly reduce costs for repeated prompts with shared prefixes. The cache read price is substantially lower than the standard input price. Check the current pricing page for the exact cache hit discount ratio for gpt-6-astra.

How does gpt-6-astra compare with other models, and what should you compare?

Compare gpt-6-astra against models of similar capability and pricing on your actual workload. Evaluate latency, output quality, instruction following, and cost per task. Run side-by-side tests with your own prompts — the best model depends on your specific use case, not just benchmark scores.

Model detail

GPT-6 Astra

Provided by OpenAI

Pay-as-you-go Dynamic pricing 2 tiers

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

Model ID: gpt-6-astra

Context length: 1.05M
Max output: 128K
I/O modalities
Released: 2026-09

API endpoints

One MixRoute gateway, OpenAI-compatible

OpenAI-compatible /v1/chat/completions POST

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

Selection summary

Quickly judge whether it fits your workload

What is this model good for?

Flagship model for complex reasoning and agentic workflows

GPT-6 Astra: GPT-6 Astra is our most capable model, built for the hardest end-to-end work. Use it for complex reasoning, coding, computer use, research, and document creation. reasoning.effort . 1,050,000-token context.

What should you check before using it?

1,050,000 context, 128,000 output

OpenAI model. Supports tool calling, structured outputs, function calling. Knowledge cutoff: 2026-04-30.

Why use it through MixRoute?

Drop-in via OpenAI-compatible endpoint on MixRoute

Set the model parameter to "gpt-6-astra" and use your MixRoute API key.

Capabilities & compatibility

Unconfirmed capabilities stay "Unknown," no guesses

Tool calling

GPT-6 Astra supports function and tool calls.

EX Send a tools definition; the response returns tool_calls to execute and feed results back.

Structured output

GPT-6 Astra can produce JSON-formatted output on demand.

EX response_format: { type: "json_schema" } forces valid JSON output.

Streaming

GPT-6 Astra supports streamed responses.

EX stream: true streams tokens incrementally, so chat UIs render as they arrive.

Prompt caching

GPT-6 Astra supports prompt caching under supported routing conditions.

EX Keep the system prompt and tool definitions at the start of the request; repeated prefixes are automatically billed at the cache-read rate.

Vision input

GPT-6 Astra can process image inputs alongside text.

EX Pass a base64-encoded image in a image_url content part alongside text messages.

OpenAI SDK

Call GPT-6 Astra through MixRoute's OpenAI-compatible endpoint.

EX Change base_url to https://api.mixroute.ai/v1; everything else follows the OpenAI style.

Token cost estimator

Live estimate from this page's pricing, not an actual bill

Input tokens Max per request 1.05M

Output tokens Max per request 128K

Requests / month

Cache hit rate 0%

Share of the same prefix read repeatedly, up to 100%

FAQ

gpt-6-astra rate limits vary by your MixRoute subscription plan. Check your plan details in the console for requests per minute (RPM) and tokens per minute (TPM) limits. Run a small load test before production to confirm your effective quota.

Get started

01

Create an API key

Generate a key in the Console; one key calls every model.
02

Set the base URL

Fully OpenAI SDK-compatible; just swap the URL to connect.

https://api.mixroute.ai/v1
03

Specify the model ID

In the request's model field, enter:

gpt-6-astra

Create an API key

New users get $5 in free credits

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.

Create an API key View integration docs