GPT-6 Astra

SyncDev model directory · Profile updated Oct 13, 2026

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GPT-6 Astra is OpenAI's model for demanding reasoning, coding and extended agent work. It accepts text and images and produces text.

Key specifications

Specification score
75.7
Context window
1.05M
Max output
128K
Input / 1M tokens
From $10.00
Output / 1M tokens
From $50.00
License
Provider terms

The specification score summarizes recorded features and limits. It is not a benchmark result.

Pricing conditions: Standard starting rates cover prompts up to 272K input tokens. Longer prompts use 2× input/cache rates and 1.5× output rates for the full request. Fast, Ultrafast, cache writes and tool calls have separate conditions.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input
  • Image input

Produces

  • Text output

Capabilities

ReasoningFunction callingVisionStreamingJSON mode

What is GPT-6 Astra?

GPT-6 Astra is OpenAI's model for demanding reasoning, coding and extended agent work. It accepts text and images and produces text.

Where it fits

Astra is a candidate for work where a failed attempt is expensive: debugging a difficult issue, reconciling several documents or coordinating a sequence of tool calls. Its higher token price makes it useful to measure completed-task cost, including retries, rather than compare only the charge for one answer.

API integration

Use the Responses API for tool calls. Existing integrations that send tools through Chat Completions need a migration. The model does not accept the none reasoning setting or custom temperature and top_p values; carrying these options over from an older model can break a request.

Limits and pricing

The documented context allowance is 1,050,000 tokens, with up to 128,000 output tokens. Standard rates for prompts up to 272,000 input tokens are $10 input and $50 output per million tokens. Longer prompts use higher rates across the request; cache writes, processing tiers and regional options can also change the bill.

A practical evaluation

Keep representative tasks, expected outcomes and failure cases together. Measure total cost to an accepted result, time to completion and the work a person must redo. Compare a smaller route before assigning every request to the same model. Explore OpenAI models or compare two candidates.

How to evaluate GPT-6 Astra

Compare the model on the work you need to complete.

Tasks and inputs

GPT-6 Astra is listed for Image-text-to-text, Text generation. It accepts text, image and produces text. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Documented limits: 1.05M context and 128K maximum output. The listed route has starting rates of $10.00 input and $50.00 output per million tokens. Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.

Frequently asked questions

Check the publisher documentation, exact model or checkpoint ID, runtime compatibility and current access terms. Test representative inputs and record failures, latency and total cost before changing a production route.

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