OpenAI frontier flagship omni model for autonomous tasks and deep cross-modal reasoning
| Scenario | Input Tokens | Output Tokens | Uncached Cost | With Prompt Caching |
|---|---|---|---|---|
| Short Chat Query | 1,000 | 500 | $0.0350 | $0.0300 |
| Document Summarization | 10,000 | 2,000 | $0.2000 | $0.1500 |
| Codebase & Context Analysis | 100,000 | 20,000 | $2.00 | $1.50 |
| Batch Corpus Processing | 1,000,000 | 100,000 | $15.00 | $10.00 |
Ideal for production workloads demanding flagship capabilities, deep context depth (256k tokens), and reliability from OpenAI. Excellent when predictable tokenomics and prompt caching support are paramount.
If your use-case requires sub-second streaming latency or ultra-high frequency classification at micro-cent pricing, consider lighter budget options such as Gemini Flash-Lite or Claude Haiku. For deep formal logic, consider dedicated reasoning models like o3.
For GPT-6 Astra, 1 million input tokens costs $10.00, while 1 million output tokens costs $50.00. If using prompt caching, repetitive input prefixes are discounted to $5.00 per million.
GPT-6 Astra features a maximum context window of 256,000 tokens (~192,000 words), with a maximum output limit of 32,768 tokens per completion.
GPT-6 Astra utilizes the OpenAI o200k_base (200k vocabulary). Token counting on TokenMath runs client-side to ensure maximum privacy.
Yes. GPT-6 Astra supports prompt caching with a cached input rate of $5.00/1M (saving up to 50% on repeated input context).