Benchable
Text input
Text output
Unavailable
Author's Description
text-embedding-3-large is OpenAI's most capable embedding model for both english and non-english tasks. Embeddings are a numerical representation of text that can be used to measure the relatedness between two pieces of text. Embeddings are useful for search, clustering, recommendations, anomaly detection, and classification tasks.
Key Specifications
Cost
$
Context
8K
Released
Oct 30, 2025
Supported Parameters
This model supports the following parameters:
Response Format
Temperature
Stop
Frequency Penalty
Logit Bias
Seed
Structured Outputs
Top Logprobs
Max Tokens
Top P
Presence Penalty
Logprobs
Features
This model supports the following features:
Response Format
Structured Outputs
Model Pricing
Current Pricing
| Feature | Price (per 1M tokens) |
|---|---|
| Prompt | $0.13 |
| Completion | $0 |
Price History
Available Endpoints
| Provider | Endpoint Name | Context Length | Pricing (Input) | Pricing (Output) |
|---|---|---|---|---|
|
OpenAI
|
OpenAI | openai/text-embedding-3-large | 8K | $0.13 / 1M tokens | $0 / 1M tokens |
Benchmark Results
| Benchmark | Category | Reasoning | Strategy | Free | Executions | Accuracy | Cost | Duration |
|---|
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