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🤖 OpenRouter AI Model Pricing Scraper

🚀 Pull the entire OpenRouter model catalog in seconds. Filter by provider, modality, context length, and price. No API key, no registration, no manual CSV wrangling.

🕒 Last updated: 2026-05-12 · 📊 24 fields per record · 300+ AI models indexed · 55+ providers including OpenAI, Anthropic, Google, Meta, Mistral · Per-1M-token pricing normalized

The OpenRouter AI Model Pricing Scraper extracts the complete public model catalog from OpenRouter, a unified gateway that exposes hundreds of large language models from the major AI labs and independent providers. The actor lists every model with prompt and completion prices normalized to USD per million tokens, context length, modality, tokenizer family, supported parameters, knowledge cutoff, and links back to the canonical OpenRouter model page.

You can search by free-text query, narrow to a single provider like OpenAI or Anthropic, restrict to a modality such as text+image->text, set minimum context length, and cap maximum prompt or completion price. A freeOnly flag returns just the no-cost models, which is handy for prototyping. Results sort by newest first, lowest price, or longest context. The output is flat JSON ready to feed into a price comparison dashboard, an AI gateway selector, or a cost-aware routing layer in your own app.

📋 What the OpenRouter Models Pricing Scraper does

• 🔎 Free-text search. Match by model id, display name, or description fragments.
• 🏷️ Provider filter. Pick one of 55+ providers from a curated enum, including AI21, Anthropic, Cohere, DeepSeek, Google, Meta Llama, Mistral, OpenAI, Perplexity, Qwen, x-AI, and more.
• 🎨 Modality filter. Filter to text->text, text+image->text, text->image, or text+audio->text models in one click.
• 💰 Price ceilings. Set max prompt price and max completion price (USD per 1M tokens) to keep budget-friendly options.
• 📏 Context length floor. Only return models that handle at least N tokens of context.
• 🆓 Free tier only. Toggle freeOnly to surface models with zero prompt and completion cost for prototyping.
• 🔃 Sort modes. Newest first, ascending prompt price, ascending completion price, descending context, or alphabetical name.

Each record carries a full normalized fingerprint: model id, canonical slug, name, description, knowledge cutoff, context length, max completion tokens, input and output modalities, tokenizer, prompt and completion prices per million tokens, optional input-cache and image and web-search and internal-reasoning prices, moderation flag, Hugging Face id, supported parameters, default parameters, and a direct URL to the OpenRouter model page.

💡 Why it matters: Model pricing changes weekly. Without a fresh catalog you risk wiring your product to an overpriced or deprecated endpoint. This actor lets you re-pull the full landscape on demand and compare apples to apples on a single price unit.

🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to filter the catalog, compare prompt prices across providers, and export the result to a spreadsheet.

⚙️ Input

Example: cheapest text-to-text models with at least 100k context.

{
"modality":"text->text",
"minContextLength":100000,
"sortBy":"promptPrice",
"maxItems":20
}

Example: all Anthropic models under $5 per million completion tokens.

{
"provider":"anthropic",
"maxCompletionPricePerMillion":5,
"sortBy":"created",
"maxItems":50
}

⚠️ Good to Know: OpenRouter prices its source data in USD per token, not per million. This actor multiplies by 1,000,000 and rounds to six decimals so every record uses one consistent unit. Filters such as maxPromptPricePerMillion apply to the normalized value.

📊 Output

Each record is a flat JSON object with the fields below.

🧾 Schema

📦 Sample records

✨ Why choose this Actor

📊 300+ models, 55+ providers, 1 free actor.

📈 How it compares to alternatives

For teams that need to keep a live view of LLM cost and capability across vendors, this actor is the shortest path from question to spreadsheet.

🚀 How to use

1. 🔐 Create a free Apify account. Sign up at Apify and claim the $5 starter credit.
2. 🎚️ Open the actor. Pick filters such as provider, modality, minContextLength, or maxPromptPricePerMillion.
3. 📋 Optional: search. Add a free-text query like coding or reasoning to narrow the list.
4. ▶️ Run it. Free users get a 10-row preview, paid users can pull up to 1,000,000 records per run.
5. 📤 Export. Download JSON, CSV, or Excel, or push results into Google Sheets, Airtable, Slack, Notion, or a database via Apify integrations.

⏱️ Total time from sign-up to first dataset: about 90 seconds.

💼 Business use cases

🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🔌 Automating OpenRouter Models Pricing Scraper

Drive this actor from your own stack with a few lines of code.

• Trigger runs from Node.js using the Apify JavaScript client
• Trigger runs from Python using the Apify Python client
• Read the Apify REST API docs to call the actor over HTTP

Schedules let you re-pull the catalog every day or every hour. Pair a daily schedule with a webhook to push deltas into your pricing dashboard.

❓ Frequently Asked Questions

💰 Is there a cost to run this Actor?

The actor itself is free to use on Apify. You pay only for the platform compute and storage you consume during a run. New accounts come with $5 of starter credit, which covers many small runs.

🔑 Do I need an OpenRouter API key?

No. The actor reads the public OpenRouter model catalog endpoint, which does not require authentication. You only need an OpenRouter account if you later want to call the models themselves.

📊 How many models are returned?

The catalog grows over time. As of the most recent run, OpenRouter publishes around 300 models across 55+ providers. The actor returns every model that matches your filters.

💵 How is pricing normalized?

OpenRouter prices its source data in USD per token. The actor multiplies by 1,000,000 and rounds to six decimals so every record uses one consistent unit, prompt and completion. Optional unit prices for cached input and image input and web search are preserved as published.

🎨 Which modalities are supported?

The modality enum covers text->text, text+image->text, text->image, and text+audio->text. The raw output also captures multi-input modalities like text+image+file->text exactly as published.

🤝 Can I use this Actor for commercial use?

Yes. The OpenRouter catalog is a public listing of models offered by third-party providers. You are responsible for following any terms on the model pages themselves before you call those models in production.

💳 Do I need a paid Apify plan?

A paid plan is not required. Free accounts can preview up to 10 rows per run. Paid plans unlock up to 1,000,000 rows per run plus larger storage and compute budgets.

🆘 What if a run fails?

Open the run in the Apify console to inspect the log, the input, and any partial dataset. Network errors and upstream rate limits are surfaced as error items in the dataset rather than as silent crashes.

⚖️ Is scraping this data legal?

The OpenRouter model catalog is a public listing. This actor reads only the published catalog endpoint with no login or token, so the data flow is the same one any browser or curl request would produce. Compliance with the source terms and local law remains your responsibility.

🔎 Can I filter by provider name?

Yes. The provider input is an enum of vendor prefixes used in OpenRouter model ids (for example anthropic, openai, meta-llama). Pick one to restrict the catalog to that vendor.

🆓 How do I find only the free models?

Set freeOnly to true. The actor returns every model whose prompt price and completion price are both zero.

🔌 Integrate with any app

Stream results into the tools your team already uses.

• Make - low-code automation across thousands of apps
• Zapier - trigger and route data into 6,000+ services
• n8n - self-hosted workflow runner with native Apify support
• Slack - notifications when runs complete or hit anomalies
• Google Sheets - one-click dataset to spreadsheet sync
• BigQuery and Snowflake - warehouse loads via webhook or schedule

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💡 Pro Tip: browse the complete ParseForge collection for more data feeds across developer ecosystems, research, and AI tooling.

🆘 Need Help? Open our contact form and a human will reply within one business day.

This Actor accesses publicly available data only. By using it you accept the responsibility to comply with the source's Terms of Service, rate limits, and applicable laws including data-protection regulations. The data is scraped on-demand from the upstream public API and is not cached or pre-stored by this Actor.