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Prompts and workflows

GPT-6 Astra · configuration

OpenAI GPT-6 Astra API Model Configuration and Cost Boundaries

The GPT-6 Astra model page defines reasoning effort, context, cache pricing, tools, and endpoint boundaries for a reproducible API configuration sheet.

Source reviewed; not testedGPT-6 Astra client or API; pin the live model ID, provider, tools, permissions, and snapshot before execution.

Prerequisites and inputs

  • task goal
  • source or reference material
  • runtime constraints
  • acceptance criteria

Complete templates

Editorial adaptation: task template

Tabbit editorial adaptation; not the original source prompt
Pin {{MODEL_ID}}, {{REASONING_EFFORT}}, {{CONTEXT_BUDGET}}, {{CACHE_POLICY}}, and {{TOOL_SET}}. Calculate {{COST_ESTIMATE}} from {{INPUT_RATE}}, {{CACHE_RATE}}, and {{OUTPUT_RATE}}, then check {{OUTPUT_VALIDATION}} on {{REPRESENTATIVE_TASKS}}.

Fill every variable before running and return each value in the acceptance record.

Replace before running: {{MODEL_ID}}, {{REASONING_EFFORT}}, {{CONTEXT_BUDGET}}, {{CACHE_POLICY}}, {{TOOL_SET}}, {{COST_ESTIMATE}}, {{INPUT_RATE}}, {{CACHE_RATE}}, {{OUTPUT_RATE}}, {{OUTPUT_VALIDATION}}, {{REPRESENTATIVE_TASKS}}

Pin {{MODEL_ID}}, {{REASONING_EFFORT}}, {{CONTEXT_BUDGET}}, {{CACHE_POLICY}}, and {{TOOL_SET}}. Calculate {{COST_ESTIMATE}} from {{INPUT_RATE}}, {{CACHE_RATE}}, and {{OUTPUT_RATE}}, then check {{OUTPUT_VALIDATION}} on {{REPRESENTATIVE_TASKS}}.

Read the source research notes

One-sentence conclusion

The official model page defines gpt-6-astra input and output capabilities, context and output limits, reasoning levels, pricing, endpoints, tools, and rate limits for API planning and cost estimation.

Applicable scenarios

  • Suitable tasks: Complex reasoning, coding, computer use, research, and document creation in workflows with text and image input and text output.

  • Unsuitable tasks: Audio or video input/output, fine-tuning, and free-tier API usage.

  • Applicable model version: gpt-6-astra; the page lists gpt-6-astra for both snapshot and alias entries.

  • Applicable client, agent, or API: The listed API endpoints, including Chat Completions and Responses; treat tool support as Responses API support.

  • Recommended reasoning effort and parameters: low, medium, high, xhigh, or max; the page does not prescribe a default for a specific task.

Directly usable content

model: gpt-6-astra
reasoning.effort: low | medium | high | xhigh | max
input: text, image
output: text
context_window: 1,050,000 tokens
max_output_tokens: 128,000
knowledge_cutoff: 2026-04-30

This is a configuration summary normalized from the page's fields, not a verbatim code sample.

Cost and capability boundaries

ItemOfficial value
Standard input$10.00 / 1M tokens
Cached input$1.00 / 1M tokens
Cache writes$12.50 / 1M tokens
Output$50.00 / 1M tokens
More than 272K input tokens2× input/cache and 1.5× output rates for the full request
Batch / Flex50% of Standard rates
Fast mode2× applicable rates
Free tierNot supported

The page lists web search, file search, image generation, code interpreter, hosted shell, apply patch, skills, computer use, MCP, and tool search as Responses API tools. The model supports streaming, function calling, and structured outputs, and does not support fine-tuning.

Reproduction configuration and evidence boundaries

  • The page lists RPM, TPM, and batch queue limits for Tiers 1–5. Actual limits vary by usage tier and should not be presented as a universal guarantee.

  • Chat Completions, Responses, Realtime, and Batch are listed as endpoints; the tools section explicitly scopes tool support to Responses API.

  • Pricing and capabilities are the official values visible on the collection date and may change. Reproduction should record collection date, input token count, cache status, and processing mode.

Source and dates

OpenAI Developers · Source date: Not disclosed · Edited: 2026-09-20

Read the original source
Variable checklist

Still to replace: 11

{{MODEL_ID}}{{REASONING_EFFORT}}{{CONTEXT_BUDGET}}{{CACHE_POLICY}}{{TOOL_SET}}{{COST_ESTIMATE}}{{INPUT_RATE}}{{CACHE_RATE}}{{OUTPUT_RATE}}{{OUTPUT_VALIDATION}}{{REPRESENTATIVE_TASKS}}

Related prompts

OpenAI GPT-6 Astra Prompting and Configuration GuideGPT-6 Astra: Guide to Cleaning Up Skills and AGENTS.md InstructionsGPT-6 Astra: Complete Codex Repository Instruction Audit Prompt

Related reviews

GPT-6 Astra: OpenAI's Official Five-Benchmark Comparison with GPT-5.6 SolGPT-6 Astra: CodeRabbit's Cross-File Code Review and Cost EvaluationGPT-6 Astra: Field Report on 100K+ LOC Long-Horizon Tasks, Reasoning Tiers, and Fast ModeGPT-6 Astra: Artificial Analysis Comparison of Intelligence, Speed, and Cost Across Six Reasoning Tiers

Read the full analysis

Overview · English

GPT-6 Astra: What It Is, What Changed, and How to Get Access

A sourced GPT-6 Astra overview covering the model ID, access routes, GPT-5.6 Sol changes, benchmark caveats, and practical fit.

Full review · English

GPT-6 Astra Review: The 2.5x Price Premium and the Stubbornness Tax

An evidence-led GPT-6 Astra review analyzing the 47% OSWorld latency cut, benchmark adapter gaps, the 2.5x price premium, community feedback, and workload fit.

Pricing · English

GPT-6 Astra Pricing: API Rates, Tiers, and Real Task Costs

GPT-6 Astra pricing explained: the full API rate card, Batch/Flex/Fast tiers, the 272K cliff, ChatGPT plans, worked budgets, and a local cost calculator.

Alternatives · English

GPT-6 Astra Alternatives: 5 Models to Beat the 2.5x Tax

Compare five alternatives to GPT-6 Astra by completed-task cost, latency, context window, coding precision, deployment fit, and verified community evidence.

GPT-6 Astra

Use GPT-6 Astra in Tabbit

Run this guide in the environment listed above. Downloading does not transfer the template or establish model availability for your account.