Try Bifrost Enterprise free for 14 days.
Request access

gemini-2-5-pro Cost Calculator - Databricks

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

Pricing data last updated:

gemini-2-5-pro Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 65,535 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
[ WE'RE OPEN SOURCE ]

Scale with the Fastest LLM Gateway

Built for enterprise-grade reliability, governance, and scale. Deploy in seconds.

Model Specifications

Capabilities

Vision
Audio Input

Limits

Max Input Tokens1,048,576
Max Output Tokens65,535
Max Tokens65,535

About gemini-2-5-pro

gemini-2-5-pro is a chat model from Databricks, one of 167 chat models they offer. It is priced at $1.56 per 1M input tokens and $12.50 per 1M output tokens, ranking 2691 out of 3639 chat models by cost and cheaper than 26% of models in this category. gemini-2-5-pro supports vision, audio input, prompt caching. Its 1,049K-token context window is in the top 12% 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 Tokens65,535
Maximum Total Tokens65,535

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 65,535 tokens.

Model Capabilities

Vision - Process and understand images
Audio Input - Accept audio data as input
Prompt Caching - Optimize repeated prompts

How gemini-2-5-pro Pricing Compares

At $1.56 per 1M input tokens and $12.50 per 1M output tokens, gemini-2-5-pro ranks 2691 out of 3639 chat models by input cost. It is more expensive compared to the median of $0.58 for chat models, and is cheaper than 26% of models in this category.

gemini-2-5-pro is one of 167 Databricks chat models, with support for vision, audio input, prompt caching. its 1,049K-token context window places it in the top 12% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gemini-2-5-pro
gemini-2.5-proVertex AI$1.25$10.00-20%
gemini-3.5-flashVertex AI$1.50$9.00-4%
gemini-2.5-proGoogle Gemini$1.25$10.00-20%

Alternatives to gemini-2-5-pro

Similar chat models from other providers

Vertex AI
gemini-2.5-pro
$1.25/1M input
-20% vs gemini-2-5-pro
Vertex AI
gemini-3.5-flash
$1.50/1M input
-4% vs gemini-2-5-pro
Google Gemini
gemini-2.5-pro
$1.25/1M input
-20% vs gemini-2-5-pro
Google Gemini
gemini-3.5-flash
$1.50/1M input
-4% vs gemini-2-5-pro
OpenRouter
gemini-2.5-pro
$1.25/1M input
-20% vs gemini-2-5-pro

Frequently Asked Questions

Is gemini-2-5-pro cheaper than gemini-2.5-pro?

No. gemini-2-5-pro costs $1.56 per 1M input tokens while gemini-2.5-pro costs $1.25 per 1M input tokens, making gemini-2.5-pro 20% more affordable for input. However, gemini-2-5-pro may offer different capabilities or performance characteristics that justify the price difference.

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

gemini-2-5-pro input pricing is $1.56 per 1M tokens, which is 169% above the median of $0.58 for chat models. It ranks 2691 out of 3639 chat models by input cost, making it cheaper than 26% of models in this category. For output, it costs $12.50 per 1M tokens compared to the median of $1.66.

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

Among Databricks's 167 chat models, gemini-2-5-pro ranks 88 by input cost.

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

The most comparable chat models to gemini-2-5-pro are: gemini-2.5-pro from Vertex AI ($1.25/1M input tokens); gemini-3.5-flash from Vertex AI ($1.50/1M input tokens); gemini-2.5-pro from Google Gemini ($1.25/1M input tokens); gemini-3.5-flash from Google Gemini ($1.50/1M 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 gemini-2-5-pro's context window?

gemini-2-5-pro supports up to 1,048,576 input tokens, placing it in the top 12% of chat models by context window size (rank 386 of 3346). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

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

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.