text-embedding-3-large by OpenAI demonstrates competitive pricing. View detailed benchmark data including scores across coding, math, reasoning, speed, and cost metrics.
Specifications last checked against the provider on . Benchmark scores carry their own source, linked beside each number.
Cost Benchmarks
Context Benchmarks
Available from 5 providers
The same model costs different amounts depending on who serves it. You can bring your own key for 3 of these — connect it here.
| Provider | Input / 1M | Output / 1M | Cached in | Context | Your key |
|---|---|---|---|---|---|
| SAP AI Core | $0.09 | $0 | — | 8K | — |
| Azure | $0.13 | $0 | — | 8K | Supported |
| Azure Cognitive Services | $0.13 | $0 | — | 8K | — |
| OpenAI | $0.13 | $0 | — | 8K | Supported |
| Vercel AI Gateway | — | — | — | 8K | Supported |
text-embedding-3-large — Frequently Asked Questions
How much does text-embedding-3-large cost?
text-embedding-3-large costs $0.13 per 1M input tokens and $0.00 per 1M output tokens. This makes it one of the more affordable models.
What is the context window of text-embedding-3-large?
text-embedding-3-large has a context window of 8K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created text-embedding-3-large?
text-embedding-3-large was created by OpenAI. It is classified as a budget model in our catalogue.
Is text-embedding-3-large open source?
No, text-embedding-3-large is a proprietary model. It is available through OpenAI's API and compatible providers.