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Model details

Google Gemma 3 27B Instruct

Google Gemma 3 27B Instruct is a multimodal language model built to handle both text and image inputs, making it a flexible tool for diverse analytical and creative workflows. Designed with a focus on instruction-following, the model excels at complex reasoning and coding tasks, providing a robust foundation for developers who need to integrate advanced intelligence into their applications. Its architecture supports structured output and tool-calling capabilities, allowing it to interact effectively with external systems and data sources to solve multi-step problems.

The model benefits from a lineage that emphasizes customization and performance, with support for fine-tuning techniques like LoRA to adapt its behavior to specific domain requirements. By leveraging efficient training and deployment frameworks, it offers a practical balance between high-performance reasoning and operational accessibility. Its design ensures it remains a forward-looking choice for users seeking to build specialized agents, as it combines a large context window with the ability to process visual information alongside textual instructions.

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Provider
Venice AI
Model key
google-gemma-3-27b-it
Release date
Nov 4, 2025
Last updated
Jun 11, 2026
Knowledge cutoff
2024-08
Input modalities
Output modalities
Capabilities

Cost

Input token cost
$0.12
Output token cost
$0.20

Limits

Output tokens
16,384 tokens
Context window
198,000 tokens

Transparent token rates

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Rates are shown per one million tokens. Combined means one million input plus one million output tokens.

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