Calculate the cost of using cohere-embed-v-4-0 from Azure for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 128,000 tokens
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cohere-embed-v-4-0 is an embedding model from Azure, one of 16 embedding models they offer. It is priced at $0.12 per 1M input tokens and $0.0000 per 1M output tokens, ranking 116 out of 147 embedding models by cost and cheaper than 21% of models in this category. cohere-embed-v-4-0 supports vision. Its 128K-token context window is in the top 7% among embedding models.
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 128,000 input tokens. The maximum output length is 1,536 tokens.
At $0.12 per 1M input tokens and $0.0000 per 1M output tokens, cohere-embed-v-4-0 ranks 116 out of 147 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 21% of models in this category.
cohere-embed-v-4-0 is one of 16 Azure embedding models, with support for vision. its 128K-token context window places it in the top 7% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs cohere-embed-v-4-0 |
|---|---|---|---|---|
| cohere.embed-v4:0 | AWS Bedrock | $0.12 | $0.0000 | 0% |
| us.cohere.embed-v4:0 | AWS Bedrock | $0.12 | $0.0000 | 0% |
| global.cohere.embed-v4:0 | AWS Bedrock | $0.12 | $0.0000 | 0% |
Similar embedding models from other providers
No. cohere-embed-v-4-0 costs $0.12 per 1M input tokens while cohere.embed-v4:0 costs $0.12 per 1M input tokens, making cohere.embed-v4:0 0% more affordable for input. However, cohere-embed-v-4-0 may offer different capabilities or performance characteristics that justify the price difference.
cohere-embed-v-4-0 input pricing is $0.12 per 1M tokens, which is 20% above the median of $0.10 for embedding models. It ranks 116 out of 147 embedding models by input cost, making it cheaper than 21% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.
Among Azure's 16 embedding models, cohere-embed-v-4-0 ranks 12 by input cost.
The most comparable embedding models to cohere-embed-v-4-0 are: cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens); us.cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens); global.cohere.embed-v4:0 from AWS Bedrock ($0.12/1M input tokens); cohere.embed-multilingual-image-v3.0 from Oci ($0.10/1M 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.
cohere-embed-v-4-0 supports up to 128,000 input tokens, placing it in the top 7% of embedding models by context window size (rank 9 of 130). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.
cohere-embed-v-4-0 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 $0.12 and generating 1M output tokens costs $0.0000.