Calculate the cost of using skylark-embedding-vision from Empiriolabs for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 8,000 tokens
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skylark-embedding-vision is an embedding model from Empiriolabs, one of 4 embedding models they offer. It is priced at $0.25 per 1M input tokens, ranking 158 out of 163 embedding models by cost and cheaper than 3% of models in this category. It accepts up to 8K input tokens.
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 8,000 input tokens.
At $0.25 per 1M input tokens, skylark-embedding-vision ranks 158 out of 163 embedding models by input cost. It is more expensive compared to the median of $0.10 for embedding models, and is cheaper than 3% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs skylark-embedding-vision |
|---|---|---|---|---|
| gemini-embedding-2-preview | Vertex AI | $0.20 | $0.0000 | -20% |
| gemini-embedding-2 | Vertex AI | $0.20 | $0.0000 | -20% |
| gemini-embedding-2 | Google Gemini | $0.20 | $0.0000 | -20% |
Similar embedding models from other providers
No. skylark-embedding-vision costs $0.25 per 1M input tokens while gemini-embedding-2-preview costs $0.20 per 1M input tokens, making gemini-embedding-2-preview 20% more affordable for input. However, skylark-embedding-vision may offer different capabilities or performance characteristics that justify the price difference.
skylark-embedding-vision input pricing is $0.25 per 1M tokens, which is 150% above the median of $0.10 for embedding models. It ranks 158 out of 163 embedding models by input cost, making it cheaper than 3% of models in this category.
Among Empiriolabs's 4 embedding models, skylark-embedding-vision ranks 4 by input cost.
The most comparable embedding models to skylark-embedding-vision are: gemini-embedding-2-preview from Vertex AI ($0.20/1M input tokens); gemini-embedding-2 from Vertex AI ($0.20/1M input tokens); gemini-embedding-2 from Google Gemini ($0.20/1M input tokens); gemini-embedding-2-preview from Google Gemini ($0.20/1M 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.
skylark-embedding-vision 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.