Calculate the cost of using system.ai.qwen3-embedding-0-6b from Databricks for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 8,192 tokens
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system.ai.qwen3-embedding-0-6b is an embedding model from Databricks, one of 6 embedding models they offer. It is priced at $0.02 per 1M input tokens and $0.02 per 1M output tokens, ranking 36 out of 150 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 and $0.02 per 1M output tokens, system.ai.qwen3-embedding-0-6b ranks 36 out of 150 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 system.ai.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. system.ai.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, system.ai.qwen3-embedding-0-6b may offer different capabilities or performance characteristics that justify the price difference.
system.ai.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 36 out of 150 embedding models by input cost, making it cheaper than 76% of models in this category. For output, it costs $0.02 per 1M tokens compared to the median of $0.02.
Among Databricks's 6 embedding models, system.ai.qwen3-embedding-0-6b ranks 2 by input cost.
The most comparable embedding models to system.ai.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.
system.ai.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. For reference, processing 1M input tokens costs $0.02 and generating 1M output tokens costs $0.02.