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OpenRouter LLM Model Pricing Scraper

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OpenRouter LLM Model Pricing Scraper

Fetches the full OpenRouter model catalog — pricing, context length, capabilities, and supported parameters — as structured JSON. One API call returns everything.

OpenRouter publishes a public endpoint that lists every model it routes to: pricing in USD per token, context windows, supported parameters like tools and structured_outputs, modalities, tokenizer details, and knowledge cutoffs. This actor pulls that data and formats it into clean records you can actually use for model selection, cost estimation, and compatibility filtering.

What It Returns

One record per model. Fields that matter:

Field Type Description
model_id string Provider/model slug (e.g. openai/gpt-4o)
canonical_slug string Versioned slug with datestamp
name string Display name
provider string Model provider (openai, anthropic, meta-llama, etc.)
context_length integer Maximum context window in tokens
max_completion_tokens integer Maximum output tokens
modality string Input/output modality (e.g. text+image->text)
input_modalities string Pipe-delimited list of input types
output_modalities string Pipe-delimited list of output types
prompt_price_usd_per_token number Price per input token in USD
completion_price_usd_per_token number Price per output token in USD
input_cache_read_price_usd_per_token number Cached input price per token
input_cache_write_price_usd_per_token number Cache write price per token
image_price_usd_per_image number Per-image pricing (where applicable)
supported_parameters string Pipe-delimited list (temperature, tools, structured_outputs, reasoning, ...)
tokenizer string Tokenizer type
instruct_type string Fine-tuning format
knowledge_cutoff string Training data cutoff date
expiration_date string Deprecation date for legacy models
endpoints_url string URL to per-provider routing data
profile_url string Model page on openrouter.ai
scraped_at string ISO timestamp of the run

Most scrapers skip cache-read pricing. This one does not — and cache pricing is the cost lever most teams are actually watching in 2025-26.

Input

Parameter Type Default Description
maxItems integer 500 Maximum records to return. Leave blank to get all 350+ models.

No API key required. No proxy needed. The OpenRouter catalog is a public endpoint.

Usage

Point it at the defaults and run. The whole catalog comes back in under 5 seconds. Set maxItems if you only need a sample — useful for testing downstream pipelines before a full pull.

{
  "maxItems": 50
}

When to Use This

  • Programmatic model selection by capability, context length, or price
  • LLM cost estimation and budgeting across providers
  • Tracking model deprecations via expiration_date
  • Filtering by supported_parameters to find models that support tools, structured_outputs, or reasoning
  • Pairing with competitor pricing data for FinOps dashboards

The catalog updates regularly as OpenRouter adds new models. Run it on a schedule to keep your data current.

Data Notes

  • Pricing fields are null when a model is free or pricing is not yet set
  • supported_parameters lists vary significantly by model — not all models support tools or structured_outputs
  • knowledge_cutoff is often null for third-party models where OpenRouter does not publish the information
  • Array fields (modalities, parameters) are returned as pipe-delimited strings for flat schema compatibility

Questions or issues? Use the feedback fields in the input form or contact us at actor-support@orbtop.com.

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