Embeddings model
Cohere-embed-v3-english pricing
Azure AI Foundry charges $0.10 per million input tokens to embed with Cohere-embed-v3-english. Below: what common indexing and search workloads cost.
- Input
- $0.10/ 1M
All rates
| Tier | Input | Output | Cache read | Cache write |
|---|---|---|---|---|
| Standard | $0.10 | $0.00 | — | — |
USD per million tokens. Long-context tiers apply when the whole prompt, cached tokens included, passes the threshold.
Work it out
What common workloads cost
| Workload | Cost | |
|---|---|---|
| Embed a 10,000-document corpus | 500 tokens per document | $0.50 |
| Embed 1M search queries | 20 tokens per query | $2.00 |
Planning a mix of models? Simulate a workload with Cohere-embed-v3-english, alongside anything else you run.
Price history
No price changes since Veqen started tracking this model.
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Last verified with price book 2026-10-22. Sources: Azure AI Foundry pricing and LiteLLM's MIT-licensed price file. Track every call to this model, per customer or project: install the SDK.