Azure

Embed v3 Multilingual — Benchmark Scores, Pricing & Performance Analysis

OPEN SOURCE
Input Cost
$0.10/1M
Output Cost
$0.00/1M
Context Window
512
Max Output
1K
Accepts
text

Embed v3 Multilingual 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

Input Cost
$0.10126th of 413

Cost per 1M input tokens

OpenRouter API
Output Cost
$0.001st of 413

Cost per 1M output tokens

OpenRouter API

Context Benchmarks

Context Length
512426th of 451

Maximum context window size

OpenRouter API

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.

ProviderInput / 1MOutput / 1MCached inContextYour key
Azure$0.1$01KSupported
Azure Cognitive Services$0.1$01K

Embed v3 Multilingual — Frequently Asked Questions

How much does Embed v3 Multilingual cost?

Embed v3 Multilingual 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 Multilingual?

Embed v3 Multilingual 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 Multilingual?

Embed v3 Multilingual was created by Azure. It is classified as a open source model in our catalogue.

Is Embed v3 Multilingual open source?

Yes, Embed v3 Multilingual is an open-source model. The model weights are publicly available for download and self-hosting.