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google.gemma-4-31b Cost Calculator - Bedrock Mantle

Calculate the cost of using google.gemma-4-31b from Bedrock Mantle for your AI applications

Pricing data last updated:

google.gemma-4-31b Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 256,000 tokens

Cost Breakdown

Input Cost$0.00014000
Output Cost$0.00040000
Total Cost$0.00054000

Pricing Details

Input: $0.0000001400 per token
Output: $0.0000004000 per token
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Model Specifications

Capabilities

Function Calling
Vision
Reasoning

Limits

Max Input Tokens256,000
Max Output Tokens256,000
Max Tokens256,000

About google.gemma-4-31b

google.gemma-4-31b is a chat model from Bedrock Mantle, one of 7 chat models they offer. It is priced at $0.14 per 1M input tokens and $0.40 per 1M output tokens, ranking 417 out of 2292 chat models by cost and cheaper than 81% of models in this category. google.gemma-4-31b supports vision, function calling, reasoning. Its 256K-token context window is in the top 29% among chat models.

Pricing Information

Input Cost$0.14 per 1M tokens
Output Cost$0.40 per 1M tokens

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

Technical Specifications

Maximum Input Tokens256,000
Maximum Output Tokens256,000
Maximum Total Tokens256,000

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 256,000 input tokens. The maximum output length is 256,000 tokens.

Model Capabilities

Function Calling - Execute custom functions and tools
Vision - Process and understand images
Advanced Reasoning - Complex problem-solving capabilities

How google.gemma-4-31b Pricing Compares

At $0.14 per 1M input tokens and $0.40 per 1M output tokens, google.gemma-4-31b ranks 417 out of 2292 chat models by input cost. It is more affordable compared to the median of $0.55 for chat models, and is cheaper than 81% of models in this category.

google.gemma-4-31b is one of 7 Bedrock Mantle chat models, with support for vision, function calling, reasoning. its 256K-token context window places it in the top 29% of chat models.

ModelProviderInput / 1M tokensOutput / 1M tokensvs google.gemma-4-31b
qwen3-vl-32b-thinkingDashscope$0.16$2.87+14%
qwen3.5-35b-a3bOpenRouter$0.14$1.000%
mimo-v2.5OpenRouter$0.14$0.280%

Alternatives to google.gemma-4-31b

Similar chat models from other providers

Dashscope
qwen3-vl-32b-thinking
$0.16/1M input
+14% vs google.gemma-4-31b
OpenRouter
qwen3.5-35b-a3b
$0.14/1M input
0% vs google.gemma-4-31b
OpenRouter
mimo-v2.5
$0.14/1M input
0% vs google.gemma-4-31b
Novita
ernie-4.5-vl-28b-a3b
$0.14/1M input
0% vs google.gemma-4-31b
Libertai
gemma-4-31b-it-thinking
$0.15/1M input
+7% vs google.gemma-4-31b

Frequently Asked Questions

Is google.gemma-4-31b cheaper than qwen3-vl-32b-thinking?

Yes. google.gemma-4-31b costs $0.14 per 1M input tokens compared to qwen3-vl-32b-thinking's $0.16 per 1M input tokens, making it 14% more affordable. Both are chat models and share support for vision, function calling, reasoning.

How does google.gemma-4-31b pricing compare to the average chat model?

google.gemma-4-31b input pricing is $0.14 per 1M tokens, which is 75% below the median of $0.55 for chat models. It ranks 417 out of 2292 chat models by input cost, making it cheaper than 81% of models in this category. For output, it costs $0.40 per 1M tokens compared to the median of $1.50.

What makes google.gemma-4-31b different from other Bedrock Mantle models?

Among Bedrock Mantle's 7 chat models, google.gemma-4-31b ranks 5 by input cost.

What are the best alternatives to google.gemma-4-31b?

The most comparable chat models to google.gemma-4-31b are: qwen3-vl-32b-thinking from Dashscope ($0.16/1M input tokens); qwen3.5-35b-a3b from OpenRouter ($0.14/1M input tokens); mimo-v2.5 from OpenRouter ($0.14/1M input tokens); ernie-4.5-vl-28b-a3b from Novita ($0.14/1M 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.gemma-4-31b's context window?

google.gemma-4-31b supports up to 256,000 input tokens, placing it in the top 29% of chat models by context window size (rank 609 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate google.gemma-4-31b costs?

google.gemma-4-31b 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 $0.14 and generating 1M output tokens costs $0.40.