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google.gemini-2.5-pro Cost Calculator - Oci

Calculate the cost of using google.gemini-2.5-pro from Oci for your AI applications

Pricing data last updated:

google.gemini-2.5-pro Cost Calculator

Mode: Chat

Max: 1,048,576 tokens

Max: 65,536 tokens

Cost Breakdown

Input Cost$0.001250
Output Cost$0.010000
Total Cost$0.011250

Pricing Details

Input: $0.00000125 per token
Output: $0.00001000 per token
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Model Specifications

Capabilities

Function Calling
Vision

Limits

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

About google.gemini-2.5-pro

google.gemini-2.5-pro is a chat model from Oci, one of 35 chat models they offer. It is priced at $1.25 per 1M input tokens and $10.00 per 1M output tokens, ranking 1960 out of 2745 chat models by cost and cheaper than 27% of models in this category. google.gemini-2.5-pro supports vision, function calling, structured output. Its 1,049K-token context window is in the top 8% among chat models.

Pricing Information

Input Cost$1.25 per 1M tokens
Output Cost$10.00 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
Response Schema - Structured output formatting

How google.gemini-2.5-pro Pricing Compares

At $1.25 per 1M input tokens and $10.00 per 1M output tokens, google.gemini-2.5-pro ranks 1960 out of 2745 chat models by input cost. It is more expensive compared to the median of $0.50 for chat models, and is cheaper than 27% of models in this category.

google.gemini-2.5-pro is one of 35 Oci chat models, with support for vision, function calling, structured output. its 1,049K-token context window places it in the top 8% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs google.gemini-2.5-pro
apac.anthropic.claude-haiku-4-5-20251001-v1:0AWS Bedrock$1.10$5.50-12%
gpt-5-2025-08-07Azure$1.38$11.00+10%
gpt-5.1Azure$1.38$11.00+10%

Alternatives to google.gemini-2.5-pro

Similar chat models from other providers

AWS Bedrock
apac.anthropic.claude-haiku-4-5-20251001-v1:0
$1.10/1M input
-12% vs google.gemini-2.5-pro
Azure
gpt-5-2025-08-07
$1.38/1M input
+10% vs google.gemini-2.5-pro
Azure
gpt-5.1
$1.38/1M input
+10% vs google.gemini-2.5-pro
Azure
gpt-5.1-chat
$1.38/1M input
+10% vs google.gemini-2.5-pro
Azure
gpt-5.1-2025-11-13
$1.25/1M input
0% vs google.gemini-2.5-pro

Frequently Asked Questions

Is google.gemini-2.5-pro cheaper than apac.anthropic.claude-haiku-4-5-20251001-v1:0?

No. google.gemini-2.5-pro costs $1.25 per 1M input tokens while apac.anthropic.claude-haiku-4-5-20251001-v1:0 costs $1.10 per 1M input tokens, making apac.anthropic.claude-haiku-4-5-20251001-v1:0 12% more affordable for input. However, google.gemini-2.5-pro may offer different capabilities or performance characteristics that justify the price difference.

How does google.gemini-2.5-pro pricing compare to the average chat model?

google.gemini-2.5-pro input pricing is $1.25 per 1M tokens, which is 150% above the median of $0.50 for chat models. It ranks 1960 out of 2745 chat models by input cost, making it cheaper than 27% of models in this category. For output, it costs $10.00 per 1M tokens compared to the median of $1.44.

What makes google.gemini-2.5-pro different from other Oci models?

Among Oci's 35 chat models, google.gemini-2.5-pro ranks 15 by input cost.

What are the best alternatives to google.gemini-2.5-pro?

The most comparable chat models to google.gemini-2.5-pro are: apac.anthropic.claude-haiku-4-5-20251001-v1:0 from AWS Bedrock ($1.10/1M input tokens); 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). 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 google.gemini-2.5-pro's context window?

google.gemini-2.5-pro supports up to 1,048,576 input tokens, placing it in the top 8% of chat models by context window size (rank 135 of 2560). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate google.gemini-2.5-pro costs?

google.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 $1.25 and generating 1M output tokens costs $10.00.