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OpenRouter [Enterprise]

All large language models models

Run any LLM (Large Language Model) with fal, powered by OpenRouter.

Inference$ Commercial useFrom 1 credit per run

About OpenRouter [Enterprise]

Run any LLM (Large Language Model) with fal, powered by OpenRouter.

Pricing

A run with the default settings costs 1 credits. The exact cost updates in the playground as you change settings, and you're only charged when you press Run. Failed runs are refunded automatically.

Inputs

prompttextarearequired

Prompt to be used for the chat completion

system_prompttextarea

System prompt to provide context or instructions to the model

modeltextrequired

Name of the model to use. Charged based on actual token usage.

reasoningbooleandefault: false

Should reasoning be the part of the final answer.

temperaturenumberdefault: 1

This setting influences the variety in the model's responses. Lower values lead to more predictable and typical responses, while higher values encourage more diverse and less common responses. At 0, the model always gives the same response for a given input.

max_tokensinteger

This sets the upper limit for the number of tokens the model can generate in response. It won't produce more than this limit. The maximum value is the context length minus the prompt length.

enable_web_searchbooleandefault: false

Give the model access to real-time web information via OpenRouter's web search server tool. When enabled, the model decides when to search and may search multiple times per request. Search costs are charged in addition to token usage.

web_search_optionsjson

Options for web search (engine, result limits, domain filters, ...). Ignored unless enable_web_search is true.

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