GPT-6 Astra Economy

GPT-6 Astra (model ID: gpt-6-astra) is OpenAI's flagship agent-native large language model released on September 3, 2026, described by OpenAI as its most capable and best-aligned model to date. It features a 1.05 million token context window (922K max input, 128K max output), a knowledge cutoff of April 30, 2026, accepting text and image input with text output. Its core breakthroughs include system-level Computer Use (autonomous browser and professional software operation), long-horizon agentic workflows, and being the first model to reach the Critical cybersecurity capability threshold. It achieves record-breaking results on OSWorld 2.0 (72.6%), ARC-AGI-3 (99.9%), and GPQA Diamond (96.0%).

The iCreat platform offers this model at Economy pricing via the endpoint https://api.icreat.ai/llm/openai/v1/chat/completions (OpenAI Chat Completions compatible), at $1 per million input tokens and $5 per million output tokens — one-tenth of the official pricing.

Model Positioning

GPT-6 Astra is positioned as OpenAI's flagship agent-native LLM, shifting the core paradigm from "answering questions" to "completing work."

The model can directly operate browsers and professional software (KiCad, Unity, Blender, FreeCAD, etc.), sustaining complex tasks for tens of minutes to hours and delivering task results rather than text suggestions. Reasoning effort spans five levels — low, medium, high, xhigh, and max — paired with Codex for cross-context retrieval and note retention.

On the iCreat platform, the model is offered at Economy pricing — one-tenth of the official standard price — making flagship-grade reasoning and agent capabilities accessible to cost-sensitive developers and enterprises.

Core Capabilities

Computer Use and Autonomous Task Execution

The model can directly operate browsers and professional software, achieving 72.6% task success rate on OSWorld 2.0 with an average task completion time of approximately 40 minutes — 47% faster than its predecessor.

Ultra-Long Context and Precise Retrieval

Features a 1.05 million token context window with 96.3% multi-needle retrieval accuracy across the 512K–1M token range, enabling ingestion of entire code repositories in a single request.

Multi-Level Reasoning Effort

Offers five reasoning effort levels — low, medium, high, xhigh, and max — flexibly switching from rapid responses to deep reasoning, covering the full spectrum from simple Q&A to complex mathematical proofs.

Streaming Output and Function Calling

Supports streaming output, structured outputs, function calling, file search, web search, and prompt caching across Chat Completions, Responses, and Batch endpoints.

Cybersecurity Capability

The first model to reach the Critical cybersecurity capability threshold under OpenAI's Preparedness Framework, capable of autonomously discovering unknown vulnerabilities and constructing complex exploit chains. Advanced capabilities are restricted through the Daybreak trusted access program.

Pricing

Note: The above are iCreat platform Economy prices, one-tenth of OpenAI's official standard pricing ($10 input, $50 output). The iCreat platform price shall prevail.

Application Scenarios

• Complex software automation (browser operation, PCB design, 3D modeling)
• Long-horizon autonomous agent workflows (job applications, data analysis, document generation)
• Deep scientific reasoning and mathematical proofs
• Enterprise-grade codebase analysis and software engineering
• Advanced cybersecurity defense and vulnerability discovery

Model Comparison

Comparison Table 1: iCreat Economy vs. OpenAI Official Standard Pricing

Note: iCreat Economy pricing is one-tenth of the official standard; model capabilities are identical. OpenAI also offers Fast mode (2x speed, 2x price) and Batch/Flex modes (50% of standard).

Comparison Table 2: Same Company Flagship Models

Note: GPT-6 Astra comprehensively surpasses GPT-5.6 Sol in Computer Use task success rate and speed; ARC-AGI-3 jumped from 7.8% to 99.9% (OpenAI Responses API harness).

Why Choose GPT-6 Astra Economy?

• Flagship-grade agent reasoning at one-tenth of the official price
• 1.05 million token ultra-long context window for entire codebase ingestion
• System-level Computer Use for autonomous browser and software operation
• Five reasoning effort levels from rapid response to deep reasoning
• Full support for Computer Use, streaming output, function calling, and prompt caching
• OpenAI Chat Completions compatible endpoint — existing SDKs work directly

Specifications

Architecture

The iCreat platform's GPT-6 Astra is served through an OpenAI Chat Completions compatible endpoint, allowing users to call it with any OpenAI API-compatible SDK. Requests must include the API Key in the Authorization header. The request body contains the model field (gpt-6-astra), a messages array (system/user messages), and optional thinking object (to enable thinking mode), reasoning_effort field (reasoning intensity), and stream parameter (streaming output). The model supports prompt caching to reduce repeated input costs, with cached read pricing at one-tenth of the standard input rate.

Notes

• API Key should be passed via environment variables; avoid hardcoding it in source code
• iCreat Economy pricing is one-tenth of the official standard; model capabilities are identical
• Input exceeding 922,000 tokens will exceed the maximum input limit; manage context length accordingly
• The thinking mode and reasoning_effort parameters are optional; omit them for simple tasks to reduce latency
• Cache write costs 1.25x the standard input rate, but cache reads cost only one-tenth — enabling caching for repeated queries can significantly reduce costs
• Please safeguard your API Key and avoid hardcoding it in client-side code or public repositories

Frequently Asked Questions

What is the difference between iCreat Economy pricing and OpenAI's official pricing?​

iCreat Economy pricing is one-tenth of the official standard (input $1 vs $10, output $5 vs $50), with the same model ID and capabilities. iCreat acts as a third-party relay platform with discounted pricing. The iCreat platform price shall prevail.

How do I enable thinking mode?​

Add "thinking": {"type": "enabled"} to the request body. Thinking mode allows the model to perform more internal reasoning before generating a response, suitable for complex tasks. This parameter can be omitted for simple tasks to reduce latency.

What values does reasoning_effort support?​

Five levels: low (rapid response), medium (default), high (deep reasoning), xhigh (extra deep), and max (maximum reasoning). Higher levels produce deeper reasoning but with greater latency.

Is streaming output supported?​

Yes. Pass "stream": true in the request body to enable streaming. The model will return generated content token by token, suitable for real-time display scenarios.

What is the difference between cached read and cache write?​

Cache write stores prompt content in the cache at 1.25x the standard input rate ($1.25/M tokens). Cache read retrieves cached prompt content at one-tenth of the standard input rate ($0.1/M tokens). For scenarios with repeated identical prefixes, enabling caching can significantly reduce costs.

Is function calling supported?​

Yes. The model is compatible with the OpenAI Function Calling protocol. You can pass a tools parameter in the request to define callable functions, and the model will autonomously decide whether to invoke them based on context.