# Ai Model Pricing Availability (`haehnchen/ai-model-pricing-availability`) Actor

Compare AI model prices across providers. Find where a LLM model is available and compare input/output pricing.

- **URL**: https://apify.com/haehnchen/ai-model-pricing-availability.md
- **Developed by:** [Haehnchen](https://apify.com/haehnchen) (community)
- **Categories:** AI
- **Features:** Limited permissions
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $90.00 / 1,000 model pricing results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## AI Model Pricing / Availability

Compare AI model prices across **~200 providers**. Find where a LLM model is available and compare input/output pricing in real time.

### What it does

Search for any LLM model by name and get pricing data from all providers that offer it. The search is normalized — you can search by model name, slug, or common aliases (e.g. `claude sonnet 5`, `sonnet5`, `Claude Sonnet 5` all find the same model).

Compare input and output costs per **1 million tokens**, see which providers have free tiers, and find direct links to each provider.

### Providers

Data is aggregated from **~200 providers** including:

Requesty, AIHubMix, Writingmate, OpenRouter, Nano-GPT, Kilo Code, Cline, Krater, ValorGPT, AIMLAPI, 302.AI, Featherless, Fireworks AI, Poe, Together AI, Cursor, Azure AI Services, Windsurf, Novita AI, OrcaRouter, Routeway, FastRouter, NavyAI, Atlas Cloud, ZenMUX, CometAPI, Airforce API, Eurouter, LLM Stats, Vercel AI Gateway, Arena AI, Nous Research, ApiYI, WaveSpeed AI, LLM Gateway, Auriko

### How to use

Run the Actor via API with your query:

```bash
curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/runs" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"q": "claude sonnet 5"}'
```

#### Input

| Parameter | Type   | Required | Description                    |
|-----------|--------|----------|--------------------------------|
| `q`       | string | yes      | Model name, slug, or alias (min 3 chars) |

#### Search examples

All of these find the same model:

- `claude sonnet 5`
- `sonnet5`
- `Claude Sonnet 5`

These also work:

- `grok 4.3` / `grok43`
- `kimi k2.7` / `kimik27`
- `glm-5.2` / `glm52`
- `gpt-5.5` / `gpt55`
- `fable 5` / `fable5`
- `deepseek v4` / `deepseek-v4-pro-max`
- `qwen3.7` / `qwen37`
- `gemini 3.5` / `gemini35`

#### Output

Each result is saved as a dataset item:

```json
{
  "name": "Claude Sonnet 5",
  "providers": [
    {
      "provider": "Anthropic",
      "inputPrice": 3.00,
      "outputPrice": 15.00,
      "isFree": true,
      "originalModel": "claude-sonnet-5",
      "link": "https://docs.anthropic.com/en/docs/about-claude/models"
    },
    {
      "provider": "OpenRouter",
      "inputPrice": 3.00,
      "outputPrice": 15.00,
      "isFree": false,
      "originalModel": "anthropic/claude-sonnet-5",
      "link": "https://openrouter.ai/anthropic/claude-sonnet-5"
    }
  ]
}
```

#### Output fields

| Field | Type | Description |
|-------|------|-------------|
| `name` | string | Display name of the model |
| `providers` | array | Providers offering this model, sorted by input price |
| `providers[].provider` | string | Provider name |
| `providers[].inputPrice` | number | Input price per **1M tokens** (USD) |
| `providers[].outputPrice` | number | Output price per **1M tokens** (USD) |
| `providers[].isFree` | boolean | Whether the model is free on this provider |
| `providers[].originalModel` | string | Model identifier on the provider |
| `providers[].link` | string | Direct link to the model on the provider |

#### Billing

You are charged per dataset item returned (max 3 per request).

### Examples

#### JavaScript (Apify Client)

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

const client = new ApifyClient({ token: '<YOUR_API_TOKEN>' });

const run = await client.actor('<ACTOR_ID>').call({ q: 'claude sonnet 5' });
const { items } = await client.dataset(run.defaultDatasetId).listItems();

console.log(items);
```

#### cURL

```bash
## Start the run
curl -X POST "https://api.apify.com/v2/acts/<ACTOR_ID>/runs" \
  -H "Authorization: Bearer <YOUR_API_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"q": "claude sonnet 5"}'

## Get results (use datasetId from the response)
curl "https://api.apify.com/v2/datasets/<DATASET_ID>/items?format=json"
```

#### Python

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("<ACTOR_ID>").call(input={"q": "claude sonnet 5"})

for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)
```

# Actor input Schema

## `q` (type: `string`):

Model name, slug, or alias (e.g. 'claude sonnet 5', 'grok 4.3', 'gpt-5.5')

## Actor input object example

```json
{
  "q": "claude sonnet 5"
}
```

# 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 = {
    "q": "claude sonnet 5"
};

// Run the Actor and wait for it to finish
const run = await client.actor("haehnchen/ai-model-pricing-availability").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 = { "q": "claude sonnet 5" }

# Run the Actor and wait for it to finish
run = client.actor("haehnchen/ai-model-pricing-availability").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 '{
  "q": "claude sonnet 5"
}' |
apify call haehnchen/ai-model-pricing-availability --silent --output-dataset

```

## MCP server setup

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

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/qz9P47eEhaYmOA4mH/builds/TvqbUdDTvAVhGExxE/openapi.json