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text-embedding-3-large vs Mistral Embed
text-embedding-3-large and Mistral Embed: current price, context, max output, and supported operations.
Pricing comparison
| text-embedding-3-large | Mistral Embed | |
|---|---|---|
| Model maker | OpenAI | Mistral |
| Delivery availability | Available | Available |
| Context window | 8.2K | 8K |
| Max output | - | - |
| Official price | Input$0.13per 1M tokensOutput$0.00per 1M tokens | Input$0.10per 1M tokensOutput$0.00per 1M tokens |
| Verified price | Input$0.091per 1M tokensOutput$0.00per 1M tokens | — |
| Model performance | Collecting data | Collecting data |
| Capabilities |
Summary
- text-embedding-3-large: Input $0.091 / Output $0.00 per 1M tokens; Mistral Embed: —. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
FAQ
Which is cheaper, text-embedding-3-large or Mistral Embed?
text-embedding-3-large: Input $0.091 / Output $0.00 per 1M tokens; Mistral Embed: —. Rates depend on the billing unit, specification, and usage. Compare matching conditions in the model's detailed pricing; a single rate does not determine the total cost.
What are the key differences between text-embedding-3-large and Mistral Embed?
Both models share similar capabilities.