List all models and their properties

curl --request GET \
  --url https://openrouter.ai/api/v1/models \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://openrouter.ai/api/v1/models"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://openrouter.ai/api/v1/models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://openrouter.ai/api/v1/models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://openrouter.ai/api/v1/models"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://openrouter.ai/api/v1/models")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://openrouter.ai/api/v1/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "data": [
    {
      "architecture": {
        "input_modalities": [
          "text"
        ],
        "instruct_type": "chatml",
        "modality": "text->text",
        "output_modalities": [
          "text"
        ],
        "tokenizer": "GPT"
      },
      "canonical_slug": "openai/gpt-4",
      "context_length": 8192,
      "created": 1692901234,
      "default_parameters": null,
      "description": "GPT-4 is a large multimodal model that can solve difficult problems with greater accuracy.",
      "expiration_date": null,
      "id": "openai/gpt-4",
      "knowledge_cutoff": null,
      "links": {
        "details": "/api/v1/models/openai/gpt-4/endpoints"
      },
      "name": "GPT-4",
      "per_request_limits": null,
      "pricing": {
        "completion": "0.00006",
        "image": "0",
        "prompt": "0.00003",
        "request": "0"
      },
      "supported_parameters": [
        "temperature",
        "top_p",
        "max_tokens"
      ],
      "supported_voices": null,
      "top_provider": {
        "context_length": 8192,
        "is_moderated": true,
        "max_completion_tokens": 4096
      }
    }
  ]
}

{
  "error": {
    "code": 400,
    "message": "Invalid request parameters"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal Server Error"
  }
}

GET

models

List all models and their properties

curl --request GET \
  --url https://openrouter.ai/api/v1/models \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://openrouter.ai/api/v1/models"

headers = {"Authorization": "Bearer <token>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://openrouter.ai/api/v1/models', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://openrouter.ai/api/v1/models",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

import (
	"fmt"
	"net/http"
	"io"
)

func main() {

	url := "https://openrouter.ai/api/v1/models"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "Bearer <token>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://openrouter.ai/api/v1/models")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://openrouter.ai/api/v1/models")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

response = http.request(request)
puts response.read_body

{
  "data": [
    {
      "architecture": {
        "input_modalities": [
          "text"
        ],
        "instruct_type": "chatml",
        "modality": "text->text",
        "output_modalities": [
          "text"
        ],
        "tokenizer": "GPT"
      },
      "canonical_slug": "openai/gpt-4",
      "context_length": 8192,
      "created": 1692901234,
      "default_parameters": null,
      "description": "GPT-4 is a large multimodal model that can solve difficult problems with greater accuracy.",
      "expiration_date": null,
      "id": "openai/gpt-4",
      "knowledge_cutoff": null,
      "links": {
        "details": "/api/v1/models/openai/gpt-4/endpoints"
      },
      "name": "GPT-4",
      "per_request_limits": null,
      "pricing": {
        "completion": "0.00006",
        "image": "0",
        "prompt": "0.00003",
        "request": "0"
      },
      "supported_parameters": [
        "temperature",
        "top_p",
        "max_tokens"
      ],
      "supported_voices": null,
      "top_provider": {
        "context_length": 8192,
        "is_moderated": true,
        "max_completion_tokens": 4096
      }
    }
  ]
}

{
  "error": {
    "code": 400,
    "message": "Invalid request parameters"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal Server Error"
  }
}

Authorizations

Authorization

string

header

required

API key as bearer token in Authorization header

Query Parameters

offset

integer | null

default:0

Number of records to skip for pagination. When both offset and limit are omitted, the full list is returned

Required range: x >= 0

Example:

0

limit

integer

default:500

Maximum number of records to return (max 1000). When both offset and limit are omitted, the full list is returned

Required range: 1 <= x <= 1000

Example:

500

category

enum<string>

Filter models by use case category

Available options:

programming,

roleplay,

marketing,

marketing/seo,

technology,

science,

translation,

legal,

finance,

health,

trivia,

academia

Example:

"programming"

supported_parameters

string

Filter models by supported parameter (comma-separated)

Example:

"temperature"

output_modalities

string

Filter models by output modality. Accepts a comma-separated list of modalities (text, image, audio, embeddings) or "all" to include all models. Defaults to "text".

Example:

"text"

sort

enum<string>

Sort the returned models server-side. Prefer this over fetching the full list and sorting client-side. Options: pricing-low-to-high, pricing-high-to-low (average prompt/completion price), context-high-to-low (context length), throughput-high-to-low, latency-low-to-high (recent median performance), most-popular, top-weekly (tokens processed in the last week), newest (creation date), intelligence-high-to-low, coding-high-to-low, agentic-high-to-low (Artificial Analysis indices), design-arena-elo-high-to-low (best Design Arena ELO across arenas). Models without a score for the chosen benchmark are placed last. When omitted, the existing default ordering is preserved.

Available options:

most-popular,

newest,

top-weekly,

pricing-low-to-high,

pricing-high-to-low,

context-high-to-low,

throughput-high-to-low,

latency-low-to-high,

intelligence-high-to-low,

coding-high-to-low,

agentic-high-to-low,

design-arena-elo-high-to-low

Example:

"newest"

use_rss

string

Return results as RSS feed

Example:

"true"

use_rss_chat_links

string

Use chat links in RSS feed items

Example:

"true"

string

Free-text search by model name or slug.

Example:

"gpt-4"

input_modalities

string

Filter models by input modality. Comma-separated list of: text, image, audio, file.

Example:

"text,image"

context

integer

Minimum context length (tokens). Models with smaller context are excluded.

Required range: x >= 1

Example:

128000

min_price

number | null

Minimum prompt price in $/M tokens.

Required range: x >= 0

Example:

0

max_price

number | null

Maximum prompt price in $/M tokens.

Required range: x >= 0

Example:

10

arch

string

Filter models by architecture/model family (e.g. GPT, Claude, Gemini, Llama).

Example:

"GPT"

model_authors

string

Filter models by the organization that created the model. Comma-separated list of author slugs.

Example:

"openai,anthropic"

providers

string

Filter models by hosting provider. Comma-separated list of provider names.

Example:

"OpenAI,Anthropic"

distillable

enum<string>

Filter by distillation capability. "true" returns only distillable models, "false" excludes them.

Available options:

true,

false

Example:

"true"

zdr

enum<string>

When set to "true", return only models with zero data retention endpoints.

Available options:

true

Example:

"true"

region

enum<string>

Filter to models with endpoints in the given data region. Currently only "eu" is supported.

Available options:

eu

Example:

"eu"

min_output_price

number | null

Minimum completion (output) price in $/M tokens.

Required range: x >= 0

Example:

0

max_output_price

number | null

Maximum completion (output) price in $/M tokens.

Required range: x >= 0

Example:

10

min_age_days

integer | null

Minimum model age in days since its creation date.

Required range: x >= 0

Example:

0

max_age_days

integer | null

Maximum model age in days since its creation date.

Required range: x >= 0

Example:

90

min_intelligence_index

number | null

Minimum Artificial Analysis intelligence index.

Required range: x >= 0

Example:

50

max_intelligence_index

number | null

Maximum Artificial Analysis intelligence index.

Required range: x >= 0

Example:

100

min_coding_index

number | null

Minimum Artificial Analysis coding index.

Required range: x >= 0

Example:

50

max_coding_index

number | null

Maximum Artificial Analysis coding index.

Required range: x >= 0

Example:

100

min_agentic_index

number | null

Minimum Artificial Analysis agentic index.

Required range: x >= 0

Example:

50

max_agentic_index

number | null

Maximum Artificial Analysis agentic index.

Required range: x >= 0

Example:

100

min_tool_success_rate

number | null

Minimum tool-calling success rate, as a fraction in [0, 1] (e.g. 0.9 = 90% of requests finishing with a tool_calls finish reason).

Required range: 0 <= x <= 1

Example:

0.9

max_tool_success_rate

number | null

Maximum tool-calling success rate, as a fraction in [0, 1].

Required range: 0 <= x <= 1

Example:

1

Response

Returns a list of models or RSS feed

List of available models

data

object[]

required

List of available models

Show child attributes

Example:

[
  {
    "architecture": {
      "input_modalities": ["text"],
      "instruct_type": "chatml",
      "modality": "text->text",
      "output_modalities": ["text"],
      "tokenizer": "GPT"
    },
    "canonical_slug": "openai/gpt-4",
    "context_length": 8192,
    "created": 1692901234,
    "default_parameters": null,
    "description": "GPT-4 is a large multimodal model that can solve difficult problems with greater accuracy.",
    "expiration_date": null,
    "id": "openai/gpt-4",
    "knowledge_cutoff": null,
    "links": {
      "details": "/api/v1/models/openai/gpt-4/endpoints"
    },
    "name": "GPT-4",
    "per_request_limits": null,
    "pricing": {
      "completion": "0.00006",
      "image": "0",
      "prompt": "0.00003",
      "request": "0"
    },
    "supported_parameters": ["temperature", "top_p", "max_tokens"],
    "supported_voices": null,
    "top_provider": {
      "context_length": 8192,
      "is_moderated": true,
      "max_completion_tokens": 4096
    }
  }
]

links

object

required

Pagination links

Show child attributes

total_count

integer

required

Total number of models matching the query

Example:

150

Get a model by its slug Get total count of available models

⌘I