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GET
/
v1
/
models
/
multimodal
cURL
curl --request GET \
  --url https://api.helicone.ai/v1/models/multimodal
{
  "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/models endpoint 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

Response

200 - application/json

Ok

​
object
enum<string>
required
Available options:
list
​
data
object[]
required