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gemini-3.1-pro Cost Calculator - Opencode

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

Pricing data last updated:

gemini-3.1-pro Cost Calculator

Mode: Chat

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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About gemini-3.1-pro

gemini-3.1-pro is a chat model from Opencode, one of 48 chat models they offer. It is priced at $2.00 per 1M input tokens and $12.00 per 1M output tokens, ranking 1811 out of 2292 chat models by cost and cheaper than 21% of models in this category.

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.

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 1811 out of 2292 chat models by input cost. It is more expensive compared to the median of $0.55 for chat models, and is cheaper than 21% of models in this category.

ModelProviderInput / 1M tokensOutput / 1M tokensvs gemini-3.1-pro
ai21.jamba-1-5-large-v1:0AWS Bedrock$2.00$8.000%
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%

Alternatives to gemini-3.1-pro

Similar chat models from other providers

AWS Bedrock
ai21.jamba-1-5-large-v1:0
$2.00/1M input
0% vs gemini-3.1-pro
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

Frequently Asked Questions

Is gemini-3.1-pro cheaper than ai21.jamba-1-5-large-v1:0?

No. gemini-3.1-pro costs $2.00 per 1M input tokens while ai21.jamba-1-5-large-v1:0 costs $2.00 per 1M input tokens, making ai21.jamba-1-5-large-v1:0 0% more affordable for input. However, gemini-3.1-pro may offer different capabilities or performance characteristics that justify the price difference.

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 264% above the median of $0.55 for chat models. It ranks 1811 out of 2292 chat models by input cost, making it cheaper than 21% 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 Opencode models?

Among Opencode's 48 chat models, gemini-3.1-pro ranks 34 by input cost.

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

The most comparable chat models to gemini-3.1-pro are: ai21.jamba-1-5-large-v1:0 from AWS Bedrock ($2.00/1M input tokens); 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). 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 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.