Processing or generating 500 words (approximately 667 tokens) with GLM-4-32B-0414-128K (Z.ai) ranges from $0.000017 (cached input) to $0.000067 (full generation).
Quick answer
For 500 words, GLM-4-32B-0414-128K (Z.ai) processes approximately 667 tokens. That costs $0.000067 as uncached input, $0.000017 with the modeled cache discount, or $0.000067 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 500 words as prompt context, documentation, or background knowledge.
GLM-4-32B-0414-128K (Z.ai) drafts a complete 500 words article, chapter, or code module.
400 words input prompt + 100 words output reply.
| Model | Provider | Input Cost (500 words) | Cached Input Cost | Output Cost (500 words) | Context Limit |
|---|---|---|---|---|---|
| GLM-4-32B-0414-128K (Z.ai) (Current) | zai | $0.000067 | $0.000017 | $0.000067 | 128,000 |
| GPT-4 Turbo | openai | $0.00667 | $0.003335 | $0.02 | 128,000 |
| GPT-3.5 Turbo | openai | $0.000334 | $0.000083 | $0.001 | 16,385 |
For GLM-4-32B-0414-128K (Z.ai) (glm_bpe tokenizer), 500 words is approximately 667 tokens (an average ratio of 1.33 tokens per word in English). Code, technical vocabulary, and non-English scripts will have higher token densities.
Sending 500 words as input costs $0.000067 (or $0.000017 with prompt caching). Generating 500 words as output costs $0.000067. 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 $0.000017). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.000033 for input, $0.000033 for output).
At an average human reading speed of 250 words per minute, 500 words takes approximately 2 minutes to read. In contrast, GLM-4-32B-0414-128K (Z.ai) can process or generate this text in seconds.