Processing or generating 100,000 words (approximately 128,000 tokens) with GPT-5.3 Codex ranges from $0.0224 (cached input) to $1.792 (full generation).
Quick answer
For 100,000 words, GPT-5.3 Codex processes approximately 128,000 tokens. That costs $0.224 as uncached input, $0.0224 with the modeled cache discount, or $1.792 when generated as output.
Method & trust
The estimate converts the selected English word count with the model tokenizer family, then applies the published input/output price per million tokens. Real prompts vary with code, formatting, language, and system instructions.
You send 100,000 words as prompt context, documentation, or background knowledge.
GPT-5.3 Codex drafts a complete 100,000 words article, chapter, or code module.
80,000 words input prompt + 20,000 words output reply.
| Model | Provider | Input Cost (100,000 words) | Cached Input Cost | Output Cost (100,000 words) | Context Limit |
|---|---|---|---|---|---|
| GPT-5.3 Codex (Current) | openai | $0.224 | $0.0224 | $1.792 | 256,000 |
| DeepSeek Coder V2.5 | deepseek | $0.0187 | $0.001866 | $0.0373 | 128,000 |
| Codestral 2501 | mistral | $0.04 | $0.003999 | $0.12 | 256,000 |
| Grok Build 0.1 | xai | $0.1333 | $0.0267 | $0.2666 | 256,000 |
| Qwen 2.5 Coder 32B | qwen | $0.0267 | $0.002666 | $0.08 | 128,000 |
| GLM-5.3 (Z.ai) | zai | $0.1866 | $0.0347 | $0.5865 | 1,048,576 |
For GPT-5.3 Codex (o200k_base tokenizer), 100,000 words is approximately 128,000 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 100,000 words as input costs $0.224 (or $0.0224 with prompt caching). Generating 100,000 words as output costs $1.792. 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 $0.0224). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.112 for input, $0.896 for output).
At an average human reading speed of 250 words per minute, 100,000 words takes approximately 400 minutes to read. In contrast, GPT-5.3 Codex can process or generate this text in seconds.