Calculate the cost of using text-embedding-3-large from Azure for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 8,191 tokens
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text-embedding-3-large is an embedding model from Azure, one of 7 embedding models they offer. It is priced at $0.13 per 1M input tokens and $0.0000 per 1M output tokens, ranking 71 out of 96 embedding models by cost and cheaper than 24% of models in this category. It accepts up to 8K input tokens.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 8,191 input tokens.
At $0.13 per 1M input tokens and $0.0000 per 1M output tokens, text-embedding-3-large ranks 71 out of 96 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 24% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs text-embedding-3-large |
|---|---|---|---|---|
| amazon.nova-2-multimodal-embeddings-v1:0 | AWS Bedrock | $0.14 | $0.0000 | +4% |
| cohere.embed-v4:0 | AWS Bedrock | $0.12 | $0.0000 | -8% |
| embed-v4.0 | Cohere | $0.12 | $0.0000 | -8% |
Similar embedding models from other providers
Yes. text-embedding-3-large costs $0.13 per 1M input tokens compared to amazon.nova-2-multimodal-embeddings-v1:0's $0.14 per 1M input tokens, making it 4% more affordable. Both are embedding models and share support for audio input.
text-embedding-3-large input pricing is $0.13 per 1M tokens, which is 30% above the median of $0.10 for embedding models. It ranks 71 out of 96 embedding models by input cost, making it cheaper than 24% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.
Among Azure's 7 embedding models, text-embedding-3-large ranks 7 by input cost.
The most comparable embedding models to text-embedding-3-large are: amazon.nova-2-multimodal-embeddings-v1:0 from AWS Bedrock ($0.14/1M input tokens); cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens); embed-v4.0 from Cohere ($0.12/1M input tokens); databricks-gte-large-en from Databricks ($0.13/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
You can monitor Azure AI service health in real time on the Bifrost Azure AI Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
text-embedding-3-large is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.13 and generating 1M output tokens costs $0.0000.
