Calculate the cost of using embed-v5.0-fast from Cohere for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 128,000 tokens
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embed-v5.0-fast is an embedding model from Cohere, one of 7 embedding models they offer. It is priced at $0.08 per 1M input tokens and $0.0000 per 1M output tokens, ranking 51 out of 149 embedding models by cost and cheaper than 65% of models in this category. Its 128K-token context window is in the top 8% 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.
At $0.08 per 1M input tokens and $0.0000 per 1M output tokens, embed-v5.0-fast ranks 51 out of 149 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 65% of models in this category.
embed-v5.0-fast is one of 7 Cohere embedding models, its 128K-token context window places it in the top 8% of embedding models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs embed-v5.0-fast |
|---|---|---|---|---|
| amazon.titan-embed-text-v1 | AWS Bedrock | $0.10 | $0.0000 | +25% |
| amazon.titan-embed-g1-text-02 | AWS Bedrock | $0.10 | $0.0000 | +25% |
| ada | Azure | $0.10 | $0.0000 | +25% |
Similar embedding models from other providers
Yes. embed-v5.0-fast costs $0.08 per 1M input tokens compared to amazon.titan-embed-text-v1's $0.10 per 1M input tokens, making it 25% more affordable. Both are embedding models.
embed-v5.0-fast input pricing is $0.08 per 1M tokens, which is 20% below the median of $0.10 for embedding models. It ranks 51 out of 149 embedding models by input cost, making it cheaper than 65% of models in this category. For output, it costs $0.0000 per 1M tokens compared to the median of $0.02.
Among Cohere's 7 embedding models, embed-v5.0-fast ranks 1 by input cost.
The most comparable embedding models to embed-v5.0-fast are: amazon.titan-embed-text-v1 from AWS Bedrock ($0.10/1M input tokens); amazon.titan-embed-g1-text-02 from AWS Bedrock ($0.10/1M input tokens); ada from Azure ($0.10/1M input tokens); text-embedding-ada-002 from Azure ($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.
embed-v5.0-fast supports up to 128,000 input tokens, placing it in the top 8% of embedding models by context window size (rank 7 of 132). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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embed-v5.0-fast 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 $0.08 and generating 1M output tokens costs $0.0000.