GPT-6 Astra
OpenAI's most capable frontier model — excels in complex reasoning, cybersecurity, and research with a 1.05M context window.
Overview
What is GPT-6 Astra
GPT-6 Astra is OpenAI's most capable language model, released in September 2026. It handles complex reasoning, coding, computer use, and research with a 1.05M-token context window and advanced reasoning effort controls. It supports vision, function calling, and web search, making it ideal for end-to-end professional workflows.
Running it privately on Venice
On Venice, GPT-6 Astra runs with anonymized privacy — your prompts are never stored or profiled. This means you get the full power of OpenAI’s flagship model while maintaining sovereignty over your inputs. No retention, no training use, no surveillance — just uncensored, permissionless access to frontier intelligence.
Assessment
Strengths and limitations
- State-of-the-art in complex reasoning, cybersecurity, and mathematical research — scores 98% on FrontierMath Tier 4 and 100% on ExploitBench.
- Unmatched context window of 1.05M tokens, ideal for processing massive documents, codebases, and long-horizon tasks.
- Supports vision, tool use, web search, and structured output — enabling full-cycle agent workflows.
- Highly robust to jailbreaks and misalignment, with strengthened internal safety protocols from OpenAI.
- Efficient token usage in coding tasks: uses one-third the tokens of GPT-5.6 Sol in Codex benchmarks.
- Proprietary and closed: cannot be self-hosted, audited, or fine-tuned independently.
- High cost: $12.50/$62.50 per 1M tokens on Venice, making sustained use expensive compared to rivals.
- No audio or video input/output support: limited to text and image modalities.
- Not uncensored: alignment constraints limit certain outputs, especially around dual-use capabilities like cyber exploitation.
Capabilities
What it supports
- Vision (image input)
- Tool use / function calling
- Reasoning with adjustable effort levels
- Web search
- Structured output (JSON schema)
- Multiple image inputs
- Audio input
- Video input
- Fine-tuning
- Batch processing
- Realtime streaming
- Random seed control
Specifications
Datasheet
- Maker
- OpenAI
- Open weights
- No — proprietary
- License
- Proprietary
- Modes
- reasoning.effort: low, medium, high, xhigh, max
- Context window
- 1,050K tokens
- Prompt length
- Up to 1,050K tokens
- Input images
- Supported — multimodal input (formats not specified, inferred from API)
- Released
- September 3, 2026
- Architecture
- Transformer-based autoregressive language model
- Parameters
- Not disclosed
- Max output
- 128K tokens
- Capabilities
- Vision, Function calling, Reasoning, Web search
- Privacy on Venice
- Anonymized — prompts not stored
- Available on Venice since
- Sep 2026
API
Call it from your code
Venice exposes an OpenAI-compatible API. Point your base URL at Venice and pass the model id.
curl https://api.venice.ai/api/v1/chat/completions \
-H "Authorization: Bearer $VENICE_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "openai-gpt-6-astra",
"messages": [{ "role": "user", "content": "Explain quantum tunneling simply." }]
}'Pricing
What it costs on Venice
Billed per token on Venice: $12.50 per 1M input tokens and $62.50 per 1M output tokens.
New Venice accounts include a free daily allowance and 500 welcome credits — no credit card required.
Alternatives
How it compares
| Model | Best for | Context | Open weights | Price (Venice) |
|---|---|---|---|---|
| GPT-6 Astra | Frontier research, cybersecurity | 1M tokens | No | $12.50 in · $62.50 out / 1M |
| Claude Fable 5.1 | Agentic coding, research pipelines | 1M tokens | No | $12 in · $60 out / 1M |
| Claude Opus 5 | General high-end reasoning | 1M tokens | No | $6 in · $30 out / 1M |
| DeepSeek V4 Flash 0731 | High-speed, low-cost tasks | 1M tokens | Yes | $0.17 in · $0.35 out / 1M |
Choose GPT-6 Astra when you need the absolute highest reasoning and cybersecurity capability and can justify the cost. For most other high-end tasks, Claude Opus 5 or Fable 5.1 offer better value.
Use cases
What it is good for
- 01Advanced scientific research workflows involving code, data analysis, and simulation.
- 02Cybersecurity vulnerability assessment and penetration testing with autonomous tool use.
- 03Large-scale document summarization, legal analysis, or financial modeling over 1M+ tokens.
- 04Complex software engineering tasks requiring full codebase context and tool integration.
- 05Autonomous research agents that browse, reason, and synthesize findings from the web.
Prompting
Getting better results
Use reasoning.effort=max for the highest accuracy on complex math or security tasks.
Break down multi-step problems into clear phases — Astra excels at long-horizon planning.
Include image references when relevant — it can process multiple images in context.
Leverage function calling for API integrations or database queries within the workflow.
Use cached input for repeated prompts — saves up to 90% on input token cost.
Enable web search when up-to-date information is needed beyond the April 2026 knowledge cutoff.
Version history
Predecessor model with smaller context and lower reasoning capability.
Current flagship — largest context, highest reasoning and security performance.
FAQ
Frequently asked questions
GPT-6 Astra is OpenAI's most capable language model, released in September 2026. It excels in complex reasoning, coding, computer use, and research with a 1.05M-token context window and support for vision, tools, and web search.
On Venice, GPT-6 Astra costs $12.50 per 1M input tokens and $62.50 per 1M output tokens. Cached input is $1.25 per 1M tokens, and cache writes are $15.625 per 1M tokens.
No. GPT-6 Astra is a proprietary model developed by OpenAI. It is not open source, cannot be self-hosted, and requires payment for use via API or platforms like Venice.
Yes. GPT-6 Astra supports image input and multimodal reasoning, allowing it to analyze and respond to visual data as part of its context.
Yes. GPT-6 Astra supports function calling, structured outputs, and integration with external tools, enabling it to act as an autonomous agent in complex workflows.
GPT-6 Astra leads in math, cybersecurity, and abstract reasoning. Claude Fable 5.1 is better for agentic coding, scientific pipelines, and cost-efficient cache usage. Pick based on your workload.
GPT-6 Astra has a context window of 1,050,000 tokens, one of the largest available, making it ideal for processing extremely long documents or codebases.
Yes. On Venice, GPT-6 Astra runs under an anonymized privacy tier — your prompts are not stored, profiled, or used for training. You maintain full sovereignty over your inputs.
Run GPT-6 Astra privately
No prompt logging. No data used for training.