Calculate the cost of using extract from OpenRouter for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 900,000 tokens
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extract is a chat model from OpenRouter, one of 502 chat models they offer. It is priced at $0.04 per 1M input tokens and $0.0000 per 1M output tokens, ranking 102 out of 3778 chat models by cost and cheaper than 97% of models in this category. extract supports vision. Its 1,000K-token context window is in the top 27% among chat models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,000,000 input tokens. The maximum output length is 900,000 tokens.
At $0.04 per 1M input tokens and $0.0000 per 1M output tokens, extract ranks 102 out of 3778 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 97% of models in this category.
extract is one of 502 OpenRouter chat models, with support for vision. its 1,000K-token context window places it in the top 27% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs extract |
|---|---|---|---|---|
| gpt-5-nano | Azure | $0.05 | $0.40 | +25% |
| gpt-5-nano-2025-08-07 | Azure | $0.05 | $0.40 | +25% |
| llama-3.2-11b-vision-instruct | Cloudflare | $0.05 | $0.68 | +21% |
Similar chat models from other providers
Yes. extract costs $0.04 per 1M input tokens compared to gpt-5-nano's $0.05 per 1M input tokens, making it 25% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
extract input pricing is $0.04 per 1M tokens, which is 93% below the median of $0.60 for chat models. It ranks 102 out of 3778 chat models by input cost, making it cheaper than 97% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $1.75.
Among OpenRouter's 502 chat models, extract ranks 18 by input cost.
The most comparable chat models to extract are: gpt-5-nano from Azure ($0.05/1M input tokens); gpt-5-nano-2025-08-07 from Azure ($0.05/1M input tokens); llama-3.2-11b-vision-instruct from Cloudflare ($0.05/1M input tokens); databricks-gpt-5-nano from Databricks ($0.05/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
extract supports up to 1,000,000 input tokens, placing it in the top 27% of chat models by context window size (rank 838 of 3499). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
extract is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.04 and generating 1M output tokens costs $0.0000.