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databricks-gemini-2-5-pro Cost Calculator - Databricks

Calculate the cost of using databricks-gemini-2-5-pro from Databricks for your AI applications

Pricing data last updated:

databricks-gemini-2-5-pro Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 65,536 tokens

Cost Breakdown

Input Cost$0.001562
Output Cost$0.012500
Total Cost$0.014062

Pricing Details

Input: $0.00000156 per token
Output: $0.00001250 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens1,048,576
Max Output Tokens65,536
Max Tokens65,536

About databricks-gemini-2-5-pro

databricks-gemini-2-5-pro is a chat model from Databricks, one of 108 chat models they offer. It is priced at $1.56 per 1M input tokens and $12.50 per 1M output tokens, ranking 2438 out of 3254 chat models by cost and cheaper than 25% of models in this category. databricks-gemini-2-5-pro supports vision, function calling, reasoning, prompt caching. Its 1,049K-token context window is in the top 10% among chat models.

Pricing Information

Input Cost$1.56 per 1M tokens
Output Cost$12.50 per 1M tokens

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

Technical Specifications

Maximum Input Tokens1,048,576
Maximum Output Tokens65,536
Maximum Total Tokens65,536

Pro Tip

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.

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-gemini-2-5-pro Pricing Compares

At $1.56 per 1M input tokens and $12.50 per 1M output tokens, databricks-gemini-2-5-pro ranks 2438 out of 3254 chat models by input cost. It is more expensive compared to the median of $0.52 for chat models, and is cheaper than 25% of models in this category.

databricks-gemini-2-5-pro is one of 108 Databricks chat models, with support for vision, function calling, reasoning, prompt caching. its 1,049K-token context window places it in the top 10% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs databricks-gemini-2-5-pro
gpt-5-2025-08-07Azure$1.38$11.00-12%
gpt-5.1Azure$1.38$11.00-12%
gpt-5.1-chatAzure$1.38$11.00-12%

Alternatives to databricks-gemini-2-5-pro

Similar chat models from other providers

Azure
gpt-5-2025-08-07
$1.38/1M input
-12% vs databricks-gemini-2-5-pro
Azure
gpt-5.1
$1.38/1M input
-12% vs databricks-gemini-2-5-pro
Azure
gpt-5.1-chat
$1.38/1M input
-12% vs databricks-gemini-2-5-pro
Azure
gpt-5.1-2025-11-13
$1.25/1M input
-20% vs databricks-gemini-2-5-pro
Azure
gpt-5
$1.25/1M input
-20% vs databricks-gemini-2-5-pro

Frequently Asked Questions

Is databricks-gemini-2-5-pro cheaper than gpt-5-2025-08-07?

No. databricks-gemini-2-5-pro costs $1.56 per 1M input tokens while gpt-5-2025-08-07 costs $1.38 per 1M input tokens, making gpt-5-2025-08-07 12% more affordable for input. However, databricks-gemini-2-5-pro may offer different capabilities or performance characteristics that justify the price difference.

How does databricks-gemini-2-5-pro pricing compare to the average chat model?

databricks-gemini-2-5-pro input pricing is $1.56 per 1M tokens, which is 203% above the median of $0.52 for chat models. It ranks 2438 out of 3254 chat models by input cost, making it cheaper than 25% of models in this category. For output, it costs $12.50 per 1M tokens compared to the median of $1.50.

What makes databricks-gemini-2-5-pro different from other Databricks models?

Among Databricks's 108 chat models, databricks-gemini-2-5-pro ranks 57 by input cost.

What are the best alternatives to databricks-gemini-2-5-pro?

The most comparable chat models to databricks-gemini-2-5-pro are: gpt-5-2025-08-07 from Azure ($1.38/1M input tokens); gpt-5.1 from Azure ($1.38/1M input tokens); gpt-5.1-chat from Azure ($1.38/1M input tokens); gpt-5.1-2025-11-13 from Azure ($1.25/1M 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-gemini-2-5-pro's context window?

databricks-gemini-2-5-pro supports up to 1,048,576 input tokens, placing it in the top 10% of chat models by context window size (rank 83 of 3025). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate databricks-gemini-2-5-pro costs?

databricks-gemini-2-5-pro 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 $1.56 and generating 1M output tokens costs $12.50.