Context
8K
Input
Free
Key Specifications
🏆
Arena Rank
#26
📐
Context Window
8K
📥
Input Price
per 1M tokens
Free
📤
Output Price
per 1M tokens
Free
🧠
Parameters
27B
🔓
Open Source
Yes
Best For
On-device AIresearchfine-tuning
About Gemma 2
Gemma 2 is Google's previous generation open-source model family, available in 2B, 9B, and 27B parameter sizes. Designed for researchers and developers, it provides strong performance for its size class on reasoning, coding, and general knowledge tasks. The model can be fine-tuned for specific domains and runs efficiently on consumer GPUs. Gemma 2 has been widely adopted in the research community for experiments in alignment, efficiency, and domain adaptation. Its permissive license allows commercial use.
Built byGoogle DeepMind↗
Pricing per 1M tokens
Input Tokens
Free
Output Tokens
Free
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Frequently Asked Questions
What is Gemma 2?▾
Gemma 2 is Google's previous generation open-source model family, available in 2B, 9B, and 27B parameter sizes. Designed for researchers and developers, it provides strong performance for its size class on reasoning, coding, and general knowledge tasks. The model can be fine-tuned for specific domains and runs efficiently on consumer GPUs. Gemma 2 has been widely adopted in the research community for experiments in alignment, efficiency, and domain adaptation. Its permissive license allows commercial use.
How much does Gemma 2 cost?▾
Gemma 2 costs Free per 1 million input tokens and Free per 1 million output tokens. It is completely free to use.
What is Gemma 2's context window?▾
Gemma 2 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 open source?▾
Yes, Gemma 2 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 best for?▾
Gemma 2 is best suited for: On-device AI, research, fine-tuning. These use cases leverage the model's specific strengths in terms of capability, speed, and cost-effectiveness within Google DeepMind's model lineup.