Back to models
Gemini Embedding 001 vs text-embedding-3-large
Gemini Embedding 001 and text-embedding-3-large: current price, context, max output, and supported operations.
Pricing comparison
| Gemini Embedding 001 | text-embedding-3-large | |
|---|---|---|
| Model maker | OpenAI | |
| Delivery availability | Available | Available |
| Context window | 2K | 8.2K |
| Max output | - | - |
| Official price | Input$0.15per 1M tokensOutput$0.00per 1M tokens | Input$0.13per 1M tokensOutput$0.00per 1M tokens |
| TokenLab price | Input$0.075per 1M tokensOutput$0.00per 1M tokens | Input$0.091per 1M tokensOutput$0.00per 1M tokens |
| Model performance | Collecting data | Collecting data |
| Capabilities |
Summary
- Gemini Embedding 001: Input $0.075 / Output $0.00 per 1M tokens; 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.
- text-embedding-3-large has a 4.0x larger context window
FAQ
Which is cheaper, Gemini Embedding 001 or text-embedding-3-large?
Gemini Embedding 001: Input $0.075 / Output $0.00 per 1M tokens; 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 Gemini Embedding 001 and text-embedding-3-large?
Both models share similar capabilities.