Processing or generating 10,000 words (approximately 13,330 tokens) with Cohere Command R7B ranges from $0.000167 (cached input) to $0.002 (full generation).
Quick answer
For 10,000 words, Cohere Command R7B processes approximately 13,330 tokens. That costs $0.000667 as uncached input, $0.000167 with the modeled cache discount, or $0.002 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.
Cohere Command R7B 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 |
|---|---|---|---|---|---|
| Cohere Command R7B (Current) | cohere | $0.000667 | $0.000167 | $0.002 | 128,000 |
| 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 Cohere Command R7B (cohere_bpe 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 $0.000667 (or $0.000167 with prompt caching). Generating 10,000 words as output costs $0.002. 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 $0.000167). For non-urgent asynchronous batch processing, 24-hour batch queues provide a flat 50% discount across all tokens (costing $0.000333 for input, $0.001 for output).
At an average human reading speed of 250 words per minute, 10,000 words takes approximately 40 minutes to read. In contrast, Cohere Command R7B can process or generate this text in seconds.