Gemma 2 Models by Google DeepMind

About

Gemma 2 is a series of cutting-edge, lightweight open large language models developed by Google. Leveraging the same foundational research as the Gemini models, Gemma 2 offers models with 2 billion, 9 billion, and 27 billion parameters. These decoder-only text-to-text models, primarily trained on English data, demonstrate strong capabilities in multilingual tasks. They come in both pre-trained and instruction-tuned versions, making them versatile for diverse text generation applications such as question answering, summarization, and reasoning. Smaller models are optimized for deployment on resource-limited devices, while the larger variants deliver competitive performance with efficiency innovations like alternating local and global attention, logit soft-capping, and grouped-query attention12. Additionally, Gemma 2 includes tools for facilitating responsible AI development3.

Specifications(8 models)

Available From(8 providers)

Arcee AI

Bitdeer AI

Chutes AI

Fireworks AI

GCP Vertex AI

NVIDIA NIM

OpenRouter

Replicate API

Pricing

Frequently Asked Questions

What is Gemma 2 used for?

Gemma 2 is used for safety, structured outputs, and coding. The family description and listed model capabilities point to those workloads as the best fit.

How does Gemma 2 compare to Gemma 4?

Gemma 2 by Google DeepMind is strongest where you need safety, while Gemma 4 by Google DeepMind is the closest related family to check for multimodal. Gemma 2 has 8 listed variants and reaches up to 8k context, while Gemma 4 reaches up to 256k context, so compare the specs and pricing tables before choosing a production model.

Which Gemma 2 model should I use?

For the lowest listed input price, start with Gemma 2 9B through GCP Vertex AI at $0.06/1M input tokens. For the most capable/latest local choice, evaluate Gemma 2 27B Instruct with 8k context and structured outputs.

Related Model Families

Gemma 4DiffusionGemmaClaude FableClaude 4.8

Claude 4.7

Claude 4.6

Models(8)