Calculate the cost of using databricks-deepseek-v4-flash-0731 from Databricks for your AI applications
Pricing data last updated:
Mode: Chat
Max: 1,000,000 tokens
Max: 393,216 tokens
Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.
databricks-deepseek-v4-flash-0731 is a chat model from Databricks, one of 108 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.28 per 1M output tokens, ranking 565 out of 3254 chat models by cost and cheaper than 82% of models in this category. databricks-deepseek-v4-flash-0731 supports function calling, reasoning, prompt caching. Its 1,000K-token context window is in the top 20% 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 1,000,000 input tokens. The maximum output length is 393,216 tokens.
At $0.14 per 1M input tokens and $0.28 per 1M output tokens, databricks-deepseek-v4-flash-0731 ranks 565 out of 3254 chat models by input cost. It is more affordable compared to the median of $0.52 for chat models, and is cheaper than 82% of models in this category.
databricks-deepseek-v4-flash-0731 is one of 108 Databricks chat models, with support for function calling, reasoning, prompt caching. its 1,000K-token context window places it in the top 20% of chat models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs databricks-deepseek-v4-flash-0731 |
|---|---|---|---|---|
| GLM-5.3-Flash | FriendliAI | $0.15 | $0.50 | +7% |
| mimo-v2.5 | OpenRouter | $0.14 | $0.28 | 0% |
| GLM-5.3-Flash | Together AI | $0.15 | $0.50 | +7% |
Similar chat models from other providers
Yes. databricks-deepseek-v4-flash-0731 costs $0.14 per 1M input tokens compared to GLM-5.3-Flash's $0.15 per 1M input tokens, making it 7% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.
databricks-deepseek-v4-flash-0731 input pricing is $0.14 per 1M tokens, which is 73% below the median of $0.52 for chat models. It ranks 565 out of 3254 chat models by input cost, making it cheaper than 82% of models in this category. For output, it costs $0.28 per 1M tokens compared to the median of $1.50.
Among Databricks's 108 chat models, databricks-deepseek-v4-flash-0731 ranks 5 by input cost.
The most comparable chat models to databricks-deepseek-v4-flash-0731 are: GLM-5.3-Flash from FriendliAI ($0.15/1M input tokens); mimo-v2.5 from OpenRouter ($0.14/1M input tokens); GLM-5.3-Flash from Together AI ($0.15/1M input tokens); glm-4.5-air from Novita ($0.13/1M 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-deepseek-v4-flash-0731 supports up to 1,000,000 input tokens, placing it in the top 20% of chat models by context window size (rank 461 of 3025). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
databricks-deepseek-v4-flash-0731 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 $0.14 and generating 1M output tokens costs $0.28.