Processing or generating 50,000 words (approximately 64,000 tokens) with GPT-5.6 Sol ranges from $0.032 (cached input) to $1.92 (full generation).
You send 50,000 words as prompt context, documentation, or background knowledge.
GPT-5.6 Sol drafts a complete 50,000 words article, chapter, or code module.
40,000 words input prompt + 10,000 words output reply.
| Model | Provider | Input Cost (50,000 words) | Cached Input Cost | Output Cost (50,000 words) | Context Limit |
|---|---|---|---|---|---|
| GPT-5.6 Sol (Current) | openai | $0.32 | $0.032 | $1.92 | 1,050,000 |
| GPT-5.6 Cyber | openai | $0.80 | $0.08 | $4.80 | 1,050,000 |
| GPT-5.5 Standard | openai | $0.32 | $0.032 | $1.92 | 512,000 |
| GPT-5.5 Pro | openai | $1.92 | $0.192 | $11.52 | 512,000 |
| o3-pro (Frontier Reasoning) | openai | $1.28 | $0.128 | $5.12 | 1,000,000 |
| o3 (Reasoning Frontier) | openai | $0.64 | $0.064 | $2.56 | 1,050,000 |
For GPT-5.6 Sol (o200k_base tokenizer), 50,000 words is approximately 64,000 tokens (an average ratio of 1.28 tokens per word in English). Code, technical vocabulary, and non-English scripts will have higher token densities.
Sending 50,000 words as input costs $0.32 (or $0.032 with prompt caching). Generating 50,000 words as output costs $1.92. Output tokens are more expensive because autoregressive token generation requires significantly more computation per token.
Yes! If your input text is part of a repeated context, prompt caching saves 50% to 90% (costing $0.032). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.16 for input, $0.96 for output).
At an average human reading speed of 250 words per minute, 50,000 words takes approximately 200 minutes to read. In contrast, GPT-5.6 Sol can process or generate this text in seconds.