OpenAI / openai/gpt-6-astra
GPT-6 Astra - access through LLMTR
GPT-6 Astra is OpenAI's most capable model, built for end-to-end work that runs long: hard reasoning, agentic coding, computer use, research, and document production. It supports a 1.05M context window, 128K max output, text and image input, prompt caching, and five reasoning effort levels from low through max.
Technical specifications
| Canonical ID | openai/gpt-6-astra |
|---|---|
| Provider | OpenAI |
| Context window | 1,050,000 tokens |
| Operations | RESPONSES |
| Modalities | text, image |
Pricing
An 8% platform margin applies to credit top-ups; model usage prices are not separately marked up.
| Operation | Metric | Unit | Price |
|---|---|---|---|
| RESPONSES | INPUT_TEXT | PER_1M_TOKENS | $10.00 |
| RESPONSES | CACHE_READ | PER_1M_TOKENS | $1.00 |
| RESPONSES | OUTPUT_TEXT | PER_1M_TOKENS | $50.00 |
| RESPONSES | CACHE_WRITE | PER_1M_TOKENS | $12.50 |
Example usage
With existing OpenAI SDK flows, change only the base URL and model identifier.
curl https://llmtr.com/v1/chat/completions \
-H "Authorization: Bearer llmtr-your_key" \
-H "Content-Type: application/json" \
-d '{"model":"openai/gpt-6-astra","messages":[{"role":"user","content":"Hello"}]}'Guides about this model
- What Is OpenAI GPT-6 Astra? Features and Access - Explore GPT-6 Astra, OpenAI’s new model for complex work: its context window, reasoning, access rollout and practical considerations for API developers.
- GPT-6 Astra API Pricing: Cache Writes and Real Costs - Calculate GPT-6 Astra API costs with standard and long-context rates, cache write and read charges, and a worked example that separates input from output.
- How to Use GPT-6 Astra API Through LLMTR - Send your first GPT-6 Astra request through LLMTR with Responses API, choose a supported reasoning level and inspect output usage before scaling up.
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