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Text Embedding 3 Large

openai/text-embedding-3-large

OpenAI text-embedding-3-large creates embeddings for semantic search, retrieval, clustering, and classification.

Base price
N/A
Execution
sync
Model type
embedding
Input fields
3
Production route

Try the model

Playground

Open playground
Input
Text or list of texts to embed. Each item supports up to 8192 tokens.
Output embedding dimension. Range: 1 to 3072.
Allowed values: float.
OutputReady

Your output will appear here

Complete the inputs, then click Run.

Model card

Specifications

Pricing

Input
$0.13 / 1M tokens
Output
$0 / 1M tokens

Context & modalities

Context window
8,191 tokens
Supported modes
sync
Input
Schema-defined
Output
embedding

Capabilities

Chat
Not supported
Vision
Not supported
Reasoning
Not supported
Structured output
Not supported
Function calling
Not supported
Audio input
Not supported

Access

Provider
OpenAI
Model ID
openai/text-embedding-3-large
Execution
sync
Base URL
https://api.sandbase.ai
API
Embeddings API
Endpoint
/v1/embeddings

API README

OpenAI text-embedding-3-large produces embeddings with up to 3072 dimensions.

Start building

Send your first request

OpenAI-compatible endpoint with unified authentication and usage tracking.

Production API
Embeddings API endpoint
https://api.sandbase.ai/v1/embeddings
Model ID
openai/text-embedding-3-large
# The quoted heredoc keeps Unicode and shell metacharacters unchanged.
result=$(curl --fail-with-body --silent \
  -X POST "https://api.sandbase.ai/v1/embeddings" \
  -H "Authorization: Bearer $SANDBASE_API_KEY" \
  -H "Content-Type: application/json" \
  --data-binary @- <<'SANDBASE_JSON'
{
  "model": "openai/text-embedding-3-large",
  "input": "SandBase provides a unified API for AI models, agents, and developer tools.",
  "dimensions": 3072,
  "encoding_format": "float"
}
SANDBASE_JSON
)
printf '%s\n' "$result"

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Questions

FAQ

How do I call OpenAI Text Embedding 3 Large through SandBase?

Create a SandBase API key, then send requests with the model ID "openai/text-embedding-3-large" to Embeddings API (/v1/embeddings) at https://api.sandbase.ai. The request examples on this page show the exact payload.

How much does OpenAI Text Embedding 3 Large cost?

$0.13 per 1M input tokens and $0 per 1M output tokens, billed per request from your SandBase balance. Discounts, when available, are shown in the pricing on this page.

What is the context window of OpenAI Text Embedding 3 Large?

8.2K tokens of context.

Do I need a separate OpenAI account?

No. One SandBase API key and balance gives you access to OpenAI Text Embedding 3 Large and the other models in the catalog; you do not need to sign up with OpenAI separately.