Processing or generating 2,500 words (approximately 3,333 tokens) with GLM-4-32B-0414-128K (Z.ai) ranges from $0.000083 (cached input) to $0.000333 (full generation).
Quick answer
For 2,500 words, GLM-4-32B-0414-128K (Z.ai) processes approximately 3,333 tokens. That costs $0.000333 as uncached input, $0.000083 with the modeled cache discount, or $0.000333 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 2,500 words as prompt context, documentation, or background knowledge.
GLM-4-32B-0414-128K (Z.ai) drafts a complete 2,500 words article, chapter, or code module.
2,000 words input prompt + 500 words output reply.
| Model | Provider | Input Cost (2,500 words) | Cached Input Cost | Output Cost (2,500 words) | Context Limit |
|---|---|---|---|---|---|
| GLM-4-32B-0414-128K (Z.ai) (Current) | zai | $0.000333 | $0.000083 | $0.000333 | 128,000 |
| GPT-4 Turbo | openai | $0.0333 | $0.0167 | $0.10 | 128,000 |
| GPT-3.5 Turbo | openai | $0.001667 | $0.000417 | $0.005 | 16,385 |
For GLM-4-32B-0414-128K (Z.ai) (glm_bpe tokenizer), 2,500 words is approximately 3,333 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 2,500 words as input costs $0.000333 (or $0.000083 with prompt caching). Generating 2,500 words as output costs $0.000333. 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 $0.000083). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.000167 for input, $0.000167 for output).
At an average human reading speed of 250 words per minute, 2,500 words takes approximately 10 minutes to read. In contrast, GLM-4-32B-0414-128K (Z.ai) can process or generate this text in seconds.