High-capability general intelligence workhorse with promotional 2026 pricing
| Scenario | Input Tokens | Output Tokens | Uncached Cost | With Prompt Caching |
|---|---|---|---|---|
| Short Chat Query | 1,000 | 500 | $0.0140 | $0.0120 |
| Document Summarization | 10,000 | 2,000 | $0.0800 | $0.0600 |
| Codebase & Context Analysis | 100,000 | 20,000 | $0.8000 | $0.6000 |
| Batch Corpus Processing | 1,000,000 | 100,000 | $6.00 | $4.00 |
Ideal for production workloads demanding flagship capabilities, deep context depth (200k 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-5.6 Sol, 1 million input tokens costs $4.00, while 1 million output tokens costs $20.00. If using prompt caching, repetitive input prefixes are discounted to $2.00 per million.
GPT-5.6 Sol features a maximum context window of 200,000 tokens (~150,000 words), with a maximum output limit of 16,384 tokens per completion.
GPT-5.6 Sol utilizes the OpenAI o200k_base (200k vocabulary). Token counting on TokenMath runs client-side to ensure maximum privacy.
Yes. GPT-5.6 Sol supports prompt caching with a cached input rate of $2.00/1M (saving up to 50% on repeated input context).