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Codestral Embed vs text-embedding-3-large
Codestral Embed and text-embedding-3-large: current price, context, max output, and supported operations.
Pricing comparison
| Codestral Embed | text-embedding-3-large | |
|---|---|---|
| Model maker | Mistral | OpenAI |
| Delivery availability | Available | Available |
| Context window | 8K | 8.2K |
| Max output | - | - |
| Official price | Input$0.15per 1M tokensOutput$0.00per 1M tokens | Input$0.13per 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
- Codestral Embed: —; text-embedding-3-large: Input $0.091 / Output $0.00 per 1M tokens. 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, Codestral Embed or text-embedding-3-large?
Codestral Embed: —; text-embedding-3-large: Input $0.091 / Output $0.00 per 1M tokens. 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 Codestral Embed and text-embedding-3-large?
Both models share similar capabilities.