Context
8K
Input
Free (open)
Key Specifications
🏆
Arena Rank
#18
📐
Context Window
8K
📥
Input Price
per 1M tokens
Free (open)
📤
Output Price
per 1M tokens
Free (open)
🧠
Parameters
27B
🔓
Open Source
Yes
Best For
Researchfine-tuningon-premise deployment
About Gemma 2 27B
Gemma 2 27B is Google DeepMind's largest open-weight model in the Gemma 2 family, delivering performance that rivals much larger proprietary models. Built using research and technology from the Gemini models, it features an efficient architecture that runs well on standard hardware. Gemma 2 27B is freely available for both research and commercial use, making it one of the strongest open models available for fine-tuning and on-premise deployment scenarios.
Built byGoogle DeepMind↗
Pricing per 1M tokens
Input Tokens
Free (open)
Output Tokens
Free (open)
Compare Gemma 2 27B
See how Gemma 2 27B stacks up against other leading AI models
Other Google DeepMind Models
Other Top Models
Frequently Asked Questions
What is Gemma 2 27B?▾
Gemma 2 27B is Google DeepMind's largest open-weight model in the Gemma 2 family, delivering performance that rivals much larger proprietary models. Built using research and technology from the Gemini models, it features an efficient architecture that runs well on standard hardware. Gemma 2 27B is freely available for both research and commercial use, making it one of the strongest open models available for fine-tuning and on-premise deployment scenarios.
How much does Gemma 2 27B cost?▾
Gemma 2 27B costs Free (open) per 1 million input tokens and Free (open) per 1 million output tokens. Pricing is based on token usage, making it cost-effective for both small and large-scale applications.
What is Gemma 2 27B's context window?▾
Gemma 2 27B has a context window of 8K tokens. This determines how much text the model can process in a single request — larger context windows allow the model to handle longer documents, maintain more conversation history, and reason over bigger codebases.
Is Gemma 2 27B open source?▾
Yes, Gemma 2 27B is open source. This means the model weights are publicly available, allowing developers and organizations to download, fine-tune, and self-host the model on their own infrastructure. Open-source models offer greater flexibility and data privacy control.
What is Gemma 2 27B best for?▾
Gemma 2 27B is best suited for: Research, fine-tuning, on-premise deployment. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Google DeepMind's model lineup.