# OpenRouter Pricing Tracker — Daily LLM Price Monitoring (`axery/openrouter-model-pricing-tracker`) Actor

Track OpenRouter's full model catalog and live per-token pricing across every provider it routes to - new model launches, price changes, free-tier availability, context length and modality support.

- **URL**: https://apify.com/axery/openrouter-model-pricing-tracker.md
- **Developed by:** [Axery](https://apify.com/axery) (community)
- **Categories:** AI, Agents, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.75 / 1,000 results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## OpenRouter Model & Pricing Tracker

Tracks OpenRouter's complete model catalog and live per-token pricing — every model it routes to, across every provider — over plain HTTP. No login involved: this is OpenRouter's own public catalog API, the same one the OpenRouter website and every SDK read from before spending an API key on a model.

### Scope: catalog, not inference

This Actor reads the model list and its pricing. It does **not** run inference — calling a model requires your own OpenRouter API key and is a fundamentally different kind of tool (an execution client, not a data-extraction Actor). What this gives you is the market map: which models exist, what they cost, and how that changes over time.

### Pricing you can actually compare

OpenRouter publishes price as a per-token decimal string (`"0.00000022"`) — correct for billing, unusable for comparison. This Actor converts it to **USD per million tokens**, the unit the industry actually quotes in, while keeping the original string so nothing is lost to float rounding at that scale:

```json
"pricing": {
  "prompt_per_million": 0.22, "completion_per_million": 0.66,
  "prompt_per_token_raw": "0.00000022", "completion_per_token_raw": "0.00000066",
  "web_search_per_call": null, "cache_read_per_million": 0.007,
  "cache_write_per_million": null, "is_free": false
}
```

`web_search_per_call` is kept separate and unconverted — it is billed per call, not per token, and folding it into the per-million-token conversion would produce a meaningless number.

### What you get per model

Provider, context length, input/output modalities, supported API parameters (`tools`, `reasoning_effort`, `response_format`, and so on), when it was added to the catalog, and full pricing. 421 models at last count, spanning every major lab plus long-tail providers.

### Input

| Field | Type | Notes |
|---|---|---|
| `category` | string | Server-side OpenRouter category filter, e.g. `programming`. |
| `providers` | array | Keep only these providers, e.g. `anthropic`, `openai`, `deepseek`. |
| `maxPricePerMillion` | number | Ceiling on prompt price, USD per million tokens. |
| `freeOnly` | boolean | Keep only zero-priced models. |
| `minContextLength` | integer | Minimum input token capacity. |

### Suggested uses

- **Price-change monitoring.** Run daily with `incremental`-style diffing on your side (compare `pricing.prompt_per_million` run over run) to catch when a provider cuts or raises prices.
- **New-model alerts.** Filter by `created_at` to see what launched since your last run.
- **Cost-aware model selection.** Use `maxPricePerMillion` and `minContextLength` together to shortlist candidates for a specific budget and context need before touching the OpenRouter API itself.

### Known limits

- **Catalog only, not availability or latency.** A model listed here may still have provider-specific rate limits or regional restrictions that only surface at inference time.
- **`is_free` reflects list price, not rate limits.** Free-tier models often carry stricter rate limits than OpenRouter's pricing field alone conveys.

### Local development

```bash
pip install -r requirements.txt
python test_local.py --out sample_output.json
python test_local.py --free-only
python test_local.py --providers anthropic openai --max-price 5
```

`sample_output.json` in this folder is real output from a live run, kept so the schema can be reviewed without running anything.

# Actor input Schema

## `category` (type: `string`):

Server-side category filter as OpenRouter defines it, e.g. programming, roleplay. Leave blank for the full catalog.

## `providers` (type: `array`):

Keep only models from these providers, e.g. openai, anthropic, deepseek, meta. Matches the prefix of each model's id.

## `maxPricePerMillion` (type: `number`):

Keep only models whose prompt (input) price is at or below this figure.

## `freeOnly` (type: `boolean`):

Keep only models with zero prompt and completion price.

## `minContextLength` (type: `integer`):

Keep only models supporting at least this many input tokens.

## `proxyConfiguration` (type: `object`):

Apify Proxy settings. OpenRouter's API is public, but Apify's own container IP range can still be rate-limited or blocked by services that treat cloud IPs as suspicious regardless of any WAF - defaults to Residential as a precaution.

## Actor input object example

```json
{
  "category": "programming",
  "providers": [
    "anthropic",
    "openai"
  ],
  "maxPricePerMillion": 1,
  "freeOnly": false,
  "minContextLength": 100000,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ]
  }
}
```

# Actor output Schema

## `models` (type: `string`):

One row per model: id, provider, context length, modalities, and pricing in both per-token and per-million-token form.

## `coverage` (type: `string`):

Filters applied and how many models matched.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {};

// Run the Actor and wait for it to finish
const run = await client.actor("axery/openrouter-model-pricing-tracker").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {}

# Run the Actor and wait for it to finish
run = client.actor("axery/openrouter-model-pricing-tracker").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{}' |
apify call axery/openrouter-model-pricing-tracker --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,axery/openrouter-model-pricing-tracker"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/YBSvkjVTk9cr8Ruy3/builds/nPqNrWlUCzWUwEAFc/openapi.json