Calculate the cost of using databricks-gemini-3-flash from Databricks for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,048,576 tokens
Max: 65,536 tokens
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databricks-gemini-3-flash is a chat model from Databricks, one of 58 chat models they offer. It is priced at $0.63 per 1M input tokens and $3.75 per 1M output tokens, ranking 1595 out of 2912 chat models by cost and cheaper than 45% of models in this category. databricks-gemini-3-flash supports vision, function calling, reasoning, prompt caching. Its 1,049K-token context window is in the top 9% among chat 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 1,048,576 input tokens. The maximum output length is 65,536 tokens.
At $0.63 per 1M input tokens and $3.75 per 1M output tokens, databricks-gemini-3-flash ranks 1595 out of 2912 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 45% of models in this category.
databricks-gemini-3-flash is one of 58 Databricks chat models, with support for vision, function calling, reasoning, prompt caching. its 1,049K-token context window places it in the top 9% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs databricks-gemini-3-flash |
|---|---|---|---|---|
| gpt-5.4-mini | Azure | $0.75 | $4.50 | +20% |
| gpt-5.4-mini-2026-03-17 | Azure | $0.75 | $4.50 | +20% |
| FW-Kimi-K2.5 | Azure | $0.66 | $3.30 | +6% |
Similar chat models from other providers
Yes. databricks-gemini-3-flash costs $0.63 per 1M input tokens compared to gpt-5.4-mini's $0.75 per 1M input tokens, making it 20% more affordable. Both are chat models and share support for vision, function calling, reasoning, web search, prompt caching, structured output.
databricks-gemini-3-flash input pricing is $0.63 per 1M tokens, which is 14% above the median of $0.55 for chat models. It ranks 1595 out of 2912 chat models by input cost, making it cheaper than 45% of models in this category. For output, it costs $3.75 per 1M tokens compared to the median of $1.50.
Among Databricks's 58 chat models, databricks-gemini-3-flash ranks 20 by input cost.
The most comparable chat models to databricks-gemini-3-flash are: gpt-5.4-mini from Azure ($0.75/1M input tokens); gpt-5.4-mini-2026-03-17 from Azure ($0.75/1M input tokens); FW-Kimi-K2.5 from Azure ($0.66/1M input tokens); gemini-3.6-flash from Vertex AI ($0.75/1M 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.
databricks-gemini-3-flash supports up to 1,048,576 input tokens, placing it in the top 9% of chat models by context window size (rank 74 of 2714). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
databricks-gemini-3-flash 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 $0.63 and generating 1M output tokens costs $3.75.