Embed v3 English — Benchmark Scores, Pricing & Performance Analysis
Embed v3 English by Azure 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 2 providers
The same model costs different amounts depending on who serves it. You can bring your own key for 1 of these — connect it here.
| Provider | Input / 1M | Output / 1M | Cached in | Context | Your key |
|---|---|---|---|---|---|
| Azure | $0.1 | $0 | — | 1K | Supported |
| Azure Cognitive Services | $0.1 | $0 | — | 1K | — |
Embed v3 English — Frequently Asked Questions
How much does Embed v3 English cost?
Embed v3 English costs $0.10 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 Embed v3 English?
Embed v3 English has a context window of 1K tokens. This determines how much text, conversation history, and code the model can process in a single request.
Who created Embed v3 English?
Embed v3 English was created by Azure. It is classified as a open source model in our catalogue.
Is Embed v3 English open source?
Yes, Embed v3 English is an open-source model. The model weights are publicly available for download and self-hosting.