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databricks-deepseek-v4-1-flash-1017 Cost Calculator - Databricks

Calculate the cost of using databricks-deepseek-v4-1-flash-1017 from Databricks for your AI applications

Pricing data last updated:

databricks-deepseek-v4-1-flash-1017 Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Max: 384,000 tokens

Cost Breakdown

Input Cost$0.00030002
Output Cost$0.001200
Total Cost$0.001500

Pricing Details

Input: $0.0000003000 per token
Output: $0.00000120 per token
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Model Specifications

Capabilities

✓Function Calling
✓Vision
✓Reasoning

Limits

Max Input Tokens1,000,000
Max Output Tokens384,000

About databricks-deepseek-v4-1-flash-1017

databricks-deepseek-v4-1-flash-1017 is a chat model from Databricks, one of 127 chat models they offer. It is priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens, ranking 1602 out of 4040 chat models by cost and cheaper than 60% of models in this category. databricks-deepseek-v4-1-flash-1017 supports vision, function calling, reasoning, prompt caching. Its 1,000K-token context window is in the top 29% among chat models.

Pricing Information

Input Cost$0.30 per 1M tokens
Output Cost$1.20 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens1,000,000
Maximum Output Tokens384,000

Pro Tip

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 384,000 tokens.

Model Capabilities

✓Function Calling - Execute custom functions and tools
✓Vision - Process and understand images
✓Advanced Reasoning - Complex problem-solving capabilities
✓Prompt Caching - Optimize repeated prompts

How databricks-deepseek-v4-1-flash-1017 Pricing Compares

At $0.30 per 1M input tokens and $1.20 per 1M output tokens, databricks-deepseek-v4-1-flash-1017 ranks 1602 out of 4040 chat models by input cost. It is more affordable compared to the median of $0.60 for chat models, and is cheaper than 60% of models in this category.

databricks-deepseek-v4-1-flash-1017 is one of 127 Databricks chat models, with support for vision, function calling, reasoning, prompt caching. its 1,000K-token context window places it in the top 29% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs databricks-deepseek-v4-1-flash-1017
amazon.nova-2-lite-v1:0AWS Bedrock$0.30$2.500%
us.amazon.nova-2-lite-v1:0AWS Bedrock$0.33$2.75+10%
gpt-5-mini-2025-08-07Azure$0.28$2.20-8%

Alternatives to databricks-deepseek-v4-1-flash-1017

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-lite-v1:0
$0.30/1M input
0% vs databricks-deepseek-v4-1-flash-1017
AWS Bedrock
us.amazon.nova-2-lite-v1:0
$0.33/1M input
+10% vs databricks-deepseek-v4-1-flash-1017
Azure
gpt-5-mini-2025-08-07
$0.28/1M input
-8% vs databricks-deepseek-v4-1-flash-1017
Azure
gpt-5-mini
$0.25/1M input
-17% vs databricks-deepseek-v4-1-flash-1017
Azure
FW-MiniMax-M3
$0.33/1M input
+10% vs databricks-deepseek-v4-1-flash-1017

Frequently Asked Questions

Is databricks-deepseek-v4-1-flash-1017 cheaper than amazon.nova-2-lite-v1:0?

No. databricks-deepseek-v4-1-flash-1017 costs $0.30 per 1M input tokens while amazon.nova-2-lite-v1:0 costs $0.30 per 1M input tokens, making amazon.nova-2-lite-v1:0 0% more affordable for input. However, databricks-deepseek-v4-1-flash-1017 may offer different capabilities or performance characteristics that justify the price difference.

How does databricks-deepseek-v4-1-flash-1017 pricing compare to the average chat model?

databricks-deepseek-v4-1-flash-1017 input pricing is $0.30 per 1M tokens, which is 50% below the median of $0.60 for chat models. It ranks 1602 out of 4040 chat models by input cost, making it cheaper than 60% of models in this category. For output, it costs $1.20 per 1M tokens compared to the median of $1.80.

What makes databricks-deepseek-v4-1-flash-1017 different from other Databricks models?

Among Databricks's 127 chat models, databricks-deepseek-v4-1-flash-1017 ranks 29 by input cost.

What are the best alternatives to databricks-deepseek-v4-1-flash-1017?

The most comparable chat models to databricks-deepseek-v4-1-flash-1017 are: amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.30/1M input tokens); us.amazon.nova-2-lite-v1:0 from AWS Bedrock ($0.33/1M input tokens); gpt-5-mini-2025-08-07 from Azure ($0.28/1M input tokens); gpt-5-mini from Azure ($0.25/1M 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.

How large is databricks-deepseek-v4-1-flash-1017's context window?

databricks-deepseek-v4-1-flash-1017 supports up to 1,000,000 input tokens, placing it in the top 29% of chat models by context window size (rank 989 of 3774). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate databricks-deepseek-v4-1-flash-1017 costs?

databricks-deepseek-v4-1-flash-1017 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 $0.30 and generating 1M output tokens costs $1.20.