Processing or generating 10,000 words (approximately 13,330 tokens) with Gemma 2 9B Instruct ranges from $0.000667 (cached input) to $0.002666 (full generation).
Quick answer
For 10,000 words, Gemma 2 9B Instruct processes approximately 13,330 tokens. That costs $0.002666 as uncached input, $0.000667 with the modeled cache discount, or $0.002666 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 10,000 words as prompt context, documentation, or background knowledge.
Gemma 2 9B Instruct drafts a complete 10,000 words article, chapter, or code module.
8,000 words input prompt + 2,000 words output reply.
| Model | Provider | Input Cost (10,000 words) | Cached Input Cost | Output Cost (10,000 words) | Context Limit |
|---|---|---|---|---|---|
| Gemma 2 9B Instruct (Current) | $0.002666 | $0.000667 | $0.002666 | 8,192 | |
| GPT-5.6 Luna | openai | $0.00256 | $0.000256 | $0.0154 | 1,050,000 |
| GPT-5.4 mini | openai | $0.0096 | $0.00096 | $0.0576 | 256,000 |
| GPT-5.4 nano | openai | $0.00256 | $0.000256 | $0.016 | 128,000 |
| GPT-4o mini | openai | $0.00192 | $0.00096 | $0.00768 | 128,000 |
| Claude Haiku 4.5 | anthropic | $0.0132 | $0.00132 | $0.066 | 1,000,000 |
For Gemma 2 9B Instruct (sentencepiece tokenizer), 10,000 words is approximately 13,330 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 10,000 words as input costs $0.002666 (or $0.000667 with prompt caching). Generating 10,000 words as output costs $0.002666. 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 $0.000667). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.001333 for input, $0.001333 for output).
At an average human reading speed of 250 words per minute, 10,000 words takes approximately 40 minutes to read. In contrast, Gemma 2 9B Instruct can process or generate this text in seconds.