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google.gemma-4-26b-a4b Cost Calculator - Bedrock Mantle

Calculate the cost of using google.gemma-4-26b-a4b from Bedrock Mantle for your AI applications

Pricing data last updated:

google.gemma-4-26b-a4b Cost Calculator

Mode: Chat

Max: 256,000 tokens

Max: 256,000 tokens

Cost Breakdown

Input Cost$0.00013000
Output Cost$0.00040000
Total Cost$0.00053000

Pricing Details

Input: $0.0000001300 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-4-26b-a4b

google.gemma-4-26b-a4b is a chat model from Bedrock Mantle, one of 7 chat models they offer. It is priced at $0.13 per 1M input tokens and $0.40 per 1M output tokens, ranking 396 out of 2292 chat models by cost and cheaper than 83% of models in this category. google.gemma-4-26b-a4b supports vision, function calling, reasoning. Its 256K-token context window is in the top 29% among chat models.

Pricing Information

Input Cost$0.13 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-4-26b-a4b Pricing Compares

At $0.13 per 1M input tokens and $0.40 per 1M output tokens, google.gemma-4-26b-a4b ranks 396 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 83% of models in this category.

google.gemma-4-26b-a4b 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-4-26b-a4b
qwen3-vl-32b-thinkingDashscope$0.16$2.87+23%
qwen3.5-35b-a3bOpenRouter$0.14$1.00+8%
mimo-v2.5OpenRouter$0.14$0.28+8%

Alternatives to google.gemma-4-26b-a4b

Similar chat models from other providers

Dashscope
qwen3-vl-32b-thinking
$0.16/1M input
+23% vs google.gemma-4-26b-a4b
OpenRouter
qwen3.5-35b-a3b
$0.14/1M input
+8% vs google.gemma-4-26b-a4b
OpenRouter
mimo-v2.5
$0.14/1M input
+8% vs google.gemma-4-26b-a4b
Novita
ernie-4.5-vl-28b-a3b
$0.14/1M input
+8% vs google.gemma-4-26b-a4b
Libertai
gemma-4-31b-it-thinking
$0.15/1M input
+15% vs google.gemma-4-26b-a4b

Frequently Asked Questions

Is google.gemma-4-26b-a4b cheaper than qwen3-vl-32b-thinking?

Yes. google.gemma-4-26b-a4b costs $0.13 per 1M input tokens compared to qwen3-vl-32b-thinking's $0.16 per 1M input tokens, making it 23% more affordable. Both are chat models and share support for vision, function calling, reasoning.

How does google.gemma-4-26b-a4b pricing compare to the average chat model?

google.gemma-4-26b-a4b input pricing is $0.13 per 1M tokens, which is 76% below the median of $0.55 for chat models. It ranks 396 out of 2292 chat models by input cost, making it cheaper than 83% 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-4-26b-a4b different from other Bedrock Mantle models?

Among Bedrock Mantle's 7 chat models, google.gemma-4-26b-a4b ranks 4 by input cost.

What are the best alternatives to google.gemma-4-26b-a4b?

The most comparable chat models to google.gemma-4-26b-a4b 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-4-26b-a4b's context window?

google.gemma-4-26b-a4b supports up to 256,000 input tokens, placing it in the top 29% of chat models by context window size (rank 610 of 2159). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.

How do I calculate google.gemma-4-26b-a4b costs?

google.gemma-4-26b-a4b 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 $0.13 and generating 1M output tokens costs $0.40.