Calculate the cost of using qwen3-embedding-0-6b from Databricks for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 8,192 tokens
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qwen3-embedding-0-6b is an embedding model from Databricks, one of 7 embedding models they offer. It is priced at $0.02 per 1M input tokens, ranking 38 out of 161 embedding models by cost and cheaper than 76% 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 8,192 input tokens.
At $0.02 per 1M input tokens, qwen3-embedding-0-6b ranks 38 out of 161 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 76% of models in this category.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs qwen3-embedding-0-6b |
|---|---|---|---|---|
| amazon.titan-embed-text-v2:0 | AWS Bedrock | $0.02 | $0.0000 | 0% |
| text-embedding-3-small | Azure | $0.02 | $0.0000 | 0% |
| text-embedding-3-small | OpenAI | $0.02 | $0.0000 | 0% |
Similar embedding models from other providers
No. qwen3-embedding-0-6b costs $0.02 per 1M input tokens while amazon.titan-embed-text-v2:0 costs $0.02 per 1M input tokens, making amazon.titan-embed-text-v2:0 0% more affordable for input. However, qwen3-embedding-0-6b may offer different capabilities or performance characteristics that justify the price difference.
qwen3-embedding-0-6b input pricing is $0.02 per 1M tokens, which is 80% below the median of $0.10 for embedding models. It ranks 38 out of 161 embedding models by input cost, making it cheaper than 76% of models in this category.
Among Databricks's 7 embedding models, qwen3-embedding-0-6b ranks 3 by input cost.
The most comparable embedding models to qwen3-embedding-0-6b are: amazon.titan-embed-text-v2:0 from AWS Bedrock ($0.02/1M input tokens); text-embedding-3-small from Azure ($0.02/1M input tokens); text-embedding-3-small from OpenAI ($0.02/1M input tokens); multilingual-e5-large-instruct from Together AI ($0.02/1M 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.
qwen3-embedding-0-6b 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.