clip-vit-base-patch32

deepinfra/openai/clip-vit-base-patch32

OpenAI's original CLIP ViT-B/32 (January 2021): a contrastive image-text model that classifies images zero-shot against any text labels; small and fast, but superseded for most uses by newer encoders such as SigLIP 2.

Get API Key Read the Docs

curl "$AUDIOLAB_API_URL/v1/inference" \
  -H "Authorization: Bearer $AUDIOLAB_API_KEY" \
  -H "Idempotency-Key: $AUDIOLAB_REQUEST_ID" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "deepinfra/openai/clip-vit-base-patch32",
  "image": "data:image/png;base64,BASE64_1024_SQUARE_IMAGE",
  "labels": [
    "mountain",
    "city"
  ]
}'

Input Price: $0.00 / runtime_ms
Output Price: —
Input: Image
Output: Classification

Capabilities

Explore what clip-vit-base-patch32 supports, then use the API section for a request tailored to this model.

Model Information

Provider: DeepInfra
Product: Image Classification
Release Date: Jan 5, 2021
Data Policy: Not specified
Region: US
Input: Image
Output: Classification

Provider Documentation

Playground

Try clip-vit-base-patch32 by DeepInfra. Requests use the selected workspace’s credits and API pricing.

clip-vit-base-patch32

This model uses a dedicated input format. Explore its API example or open the supported playground.

View API reference

Providers

Compare available endpoints, pricing, and context limits for clip-vit-base-patch32.

Provider	Context	Output	Input Price	Output Price	Endpoint
DeepInfra	Not specified	Classification	$0.00 / runtime_ms	—	`openai/clip-vit-base-patch32`

Prices are catalog rates. Your workspace’s estimate and endpoint pricing determine the final charge.

Input and Output Limits

Formats and limits AudioLab enforces on each request.

Limit	Value
Max units	90000
Path	/v1/inference
Native	{"pricingBasis":"published-units-v1"}

Status

Current catalog availability. Your workspace’s access is checked separately before a request runs.

Checking availability…

A live availability check is not available right now.

Getting Started

Use your workspace API key and the exact model identifier below. Set the API URL to the endpoint shown in your workspace and keep credentials on your server.

curl "$AUDIOLAB_API_URL/v1/inference" \
  -H "Authorization: Bearer $AUDIOLAB_API_KEY" \
  -H "Idempotency-Key: $AUDIOLAB_REQUEST_ID" \
  -H "Content-Type: application/json" \
  -d '{
  "model": "deepinfra/openai/clip-vit-base-patch32",
  "image": "data:image/png;base64,BASE64_1024_SQUARE_IMAGE",
  "labels": [
    "mountain",
    "city"
  ]
}'

Read the Endpoint Reference

Request Parameters

Available parameters depend on the provider and request format. The endpoint reference explains accepted values and required fields.

Parameter	Details
`model`	`deepinfra/openai/clip-vit-base-patch32` — Required model identifier.
`image`	View Accepted Values
`labels`	View Accepted Values

Input and Output Limits

Formats and limits AudioLab enforces on each request.

Limit	Value
Max units	90000
Path	/v1/inference
Native	{"pricingBasis":"published-units-v1"}

Similar Models

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Model	Context	Input Price	Output Price
clip-vit-large-patch14-336DeepInfra	Not specified	$0.00 / runtime_ms	—

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