Calculate the cost of using system.ai.qwen3-embedding-0-6b from Databricks for your AI applications
Pricing data last updated:
Mode: Embedding
Max: 32,768 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, ranking 30 out of 149 embedding models by cost and cheaper than 80% of models in this category. Its 33K-token context window is in the top 20% among embedding models.
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 32,768 input tokens. The maximum output length is 32,768 tokens.
At $0.02 per 1M input tokens, system.ai.qwen3-embedding-0-6b ranks 30 out of 149 embedding models by input cost. It is more affordable compared to the median of $0.10 for embedding models, and is cheaper than 80% of models in this category.
system.ai.qwen3-embedding-0-6b is one of 6 Databricks embedding models, its 33K-token context window places it in the top 20% of embedding models.
| 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 30 out of 149 embedding models by input cost, making it cheaper than 80% of models in this category.
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); text-embedding-005 from Vercel Ai Gateway ($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 supports up to 32,768 input tokens, placing it in the top 20% of embedding models by context window size (rank 26 of 132). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
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.