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gemini-3.1-pro Cost Calculator - DeepInfra

Calculate the cost of using gemini-3.1-pro from DeepInfra for your AI applications

Pricing data last updated:

gemini-3.1-pro Cost Calculator

Mode: Chat

Max: 1,000,000 tokens

Cost Breakdown

Input Cost$0.002000
Output Cost$0.012000
Total Cost$0.014000

Pricing Details

Input: $0.00000200 per token
Output: $0.00001200 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens1,000,000
Max Tokens1,000,000

About gemini-3.1-pro

gemini-3.1-pro is a chat model from DeepInfra, one of 135 chat models they offer. It is priced at $2.00 per 1M input tokens and $12.00 per 1M output tokens, ranking 2625 out of 3254 chat models by cost and cheaper than 19% of models in this category. gemini-3.1-pro supports vision, function calling, reasoning, structured output. Its 1,000K-token context window is in the top 20% among chat models.

Pricing Information

Input Cost$2.00 per 1M tokens
Output Cost$12.00 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 Total Tokens1,000,000

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.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities
Response Schema - Structured output formatting

How gemini-3.1-pro Pricing Compares

At $2.00 per 1M input tokens and $12.00 per 1M output tokens, gemini-3.1-pro ranks 2625 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 19% of models in this category.

gemini-3.1-pro is one of 135 DeepInfra chat models, with support for vision, function calling, reasoning, structured output. its 1,000K-token context window places it in the top 20% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gemini-3.1-pro
amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+9%
apac.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+9%
eu.amazon.nova-2-pro-preview-20251202-v1:0AWS Bedrock$2.19$17.50+9%

Alternatives to gemini-3.1-pro

Similar chat models from other providers

AWS Bedrock
amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs gemini-3.1-pro
AWS Bedrock
apac.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs gemini-3.1-pro
AWS Bedrock
eu.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs gemini-3.1-pro
AWS Bedrock
us.amazon.nova-2-pro-preview-20251202-v1:0
$2.19/1M input
+9% vs gemini-3.1-pro
AWS Bedrock
anthropic.claude-sonnet-5
$2.00/1M input
0% vs gemini-3.1-pro

Frequently Asked Questions

Is gemini-3.1-pro cheaper than amazon.nova-2-pro-preview-20251202-v1:0?

Yes. gemini-3.1-pro costs $2.00 per 1M input tokens compared to amazon.nova-2-pro-preview-20251202-v1:0's $2.19 per 1M input tokens, making it 9% more affordable. Both are chat models and share support for vision, function calling, reasoning, prompt caching, structured output.

How does gemini-3.1-pro pricing compare to the average chat model?

gemini-3.1-pro input pricing is $2.00 per 1M tokens, which is 288% above the median of $0.52 for chat models. It ranks 2625 out of 3254 chat models by input cost, making it cheaper than 19% of models in this category. For output, it costs $12.00 per 1M tokens compared to the median of $1.50.

What makes gemini-3.1-pro different from other DeepInfra models?

Among DeepInfra's 135 chat models, gemini-3.1-pro ranks 124 by input cost.

What are the best alternatives to gemini-3.1-pro?

The most comparable chat models to gemini-3.1-pro are: amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); apac.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); eu.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M input tokens); us.amazon.nova-2-pro-preview-20251202-v1:0 from AWS Bedrock ($2.19/1M 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-3.1-pro's context window?

gemini-3.1-pro supports up to 1,000,000 input tokens, placing it in the top 20% of chat models by context window size (rank 550 of 3025). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate gemini-3.1-pro costs?

gemini-3.1-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 $2.00 and generating 1M output tokens costs $12.00.