cURL
curl --request GET \
--url https://api.helicone.ai/v1/models/multimodalimport requests
url = "https://api.helicone.ai/v1/models/multimodal"
response = requests.get(url)
print(response.text)const options = {method: 'GET'};
fetch('https://api.helicone.ai/v1/models/multimodal', 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://api.helicone.ai/v1/models/multimodal",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
]);
$response = curl_exec($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://api.helicone.ai/v1/models/multimodal"
req, _ := http.NewRequest("GET", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.helicone.ai/v1/models/multimodal")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.helicone.ai/v1/models/multimodal")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
response = http.request(request)
puts response.read_body{
"object": "list",
"data": [
{
"id": "<string>",
"object": "model",
"created": 123,
"owned_by": "<string>"
}
]
}Models
Get Multimodal Models
Returns all available multimodal models supported by Helicone AI Gateway (OpenAI-compatible endpoint)
GET
/
v1
/
models
/
multimodal
cURL
curl --request GET \
--url https://api.helicone.ai/v1/models/multimodalimport requests
url = "https://api.helicone.ai/v1/models/multimodal"
response = requests.get(url)
print(response.text)const options = {method: 'GET'};
fetch('https://api.helicone.ai/v1/models/multimodal', 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://api.helicone.ai/v1/models/multimodal",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "GET",
]);
$response = curl_exec($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://api.helicone.ai/v1/models/multimodal"
req, _ := http.NewRequest("GET", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.get("https://api.helicone.ai/v1/models/multimodal")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.helicone.ai/v1/models/multimodal")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Get.new(url)
response = http.request(request)
puts response.read_body{
"object": "list",
"data": [
{
"id": "<string>",
"object": "model",
"created": 123,
"owned_by": "<string>"
}
]
}This endpoint returns a list of all multimodal AI models supported by the Helicone AI Gateway. Multimodal models are those that support more than one input modality (e.g., text + images) or more than one output modality. This is an OpenAI-compatible endpoint that follows the same response format as OpenAI’s
/v1/models endpoint.
Use this endpoint to discover which multimodal models are available for routing through the AI Gateway.
Endpoint URL
https://ai-gateway.helicone.ai/v1/models/multimodal
What Makes a Model Multimodal?
A model is considered multimodal if it meets either of these criteria:- Multiple Input Modalities: Accepts more than one type of input (e.g., text, images, audio)
- Multiple Output Modalities: Produces more than one type of output (e.g., text, images, audio)
Example Request
curl https://ai-gateway.helicone.ai/v1/models/multimodal
Example Response
{
"object": "list",
"data": [
{
"id": "claude-sonnet-4-5",
"object": "model",
"created": 1747180800,
"owned_by": "anthropic"
},
{
"id": "gpt-4o",
"object": "model",
"created": 1715558400,
"owned_by": "openai"
},
{
"id": "gemini-1.5-pro",
"object": "model",
"created": 1704067200,
"owned_by": "google"
},
...
]
}
Use Cases
- OpenAI Compatibility: Use this endpoint as a drop-in replacement for OpenAI’s
/v1/modelsendpoint with multimodal filtering - Multimodal Model Discovery: Discover which multimodal models are available through Helicone AI Gateway
- Vision/Audio Applications: Find models that support image or audio inputs for your applications
- Integration Testing: Verify multimodal model availability for your applications
Was this page helpful?