OpenAI's most capable text embedding model. Generates high-quality vector representations for semantic search, clustering, and similarity tasks where retrieval accuracy matters most.
Test this model instantly in the Console Playground โ no code required
Copy usage instructions for Claude, ChatGPT, or other AI
| Token Type | Credits | USD Equivalent |
|---|---|---|
| Input Tokens | 242 | $0.16 |
| Output Tokens | 0 | $0.00 |
* 1,500 credits โ $1 (actual charges may vary based on usage)
curl -X POST "https://api.core.today/llm/openai/v1/embeddings" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer cdt_your_api_key" \
-d '{
"model": "text-embedding-3-large",
"input": "What is the meaning of life?"
}'| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
input | string | array | Yes | - | Text or array of texts to embed. Max 8,191 input tokens per item. |
model | string | Yes | text-embedding-3-large | Model identifier. |
dimensions | integer | No | 3072 | Output embedding dimensionality. Defaults to 3,072; can be reduced to shrink storage while preserving semantic quality. |
encoding_format | string | No | float | Format of the returned embeddings: float or base64. floatbase64 |
Generate high-quality embeddings for semantic search
curl -X POST "https://api.core.today/llm/openai/v1/embeddings" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer cdt_your_api_key" \
-d '{
"model": "text-embedding-3-large",
"input": "What is the meaning of life?"
}'POST /llm/openai/v1/embeddings