Gemma 2 Models by Google DeepMind
Last refreshed 2026-10-17. Next refresh: weekly.
Details
Capabilities
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.
Decision facts
- Best fit
- safetystructured outputscoding
- Capability starting point
- Gemma 2 27B with 8K context and structured outputs
- Lowest tracked input
- Gemma 2 9B · $0.060/1M · GCP Vertex AI
- Closest related family
- DiffusionGemma
Current Variants
Use-when guidance is based on each model's tracked capabilities, context window, release date, and replacement status.
Use when the workload needs 8K context and 2B parameters.
Use when the workload needs 8K context and 2B parameters.
Use when the workload needs safety, 8K context, and 9B parameters.
Use when the workload needs 8K context, 27B parameters, and structured outputs.
Use when the workload needs 8K context, 9B parameters, and structured outputs.
Use when the workload needs 8K context, 9B parameters, and structured outputs.
| Model | Use when | Released | Signals | Status |
|---|---|---|---|---|
| Gemma 2 2B | Use when the workload needs 8K context and 2B parameters. | 2024-07 | 8K context2B parameters | Current |
| Gemma 2 2B Instruct | Use when the workload needs 8K context and 2B parameters. | 2024-07 | 8K context2B parameters | Current |
| ShieldGemma 9B | Use when the workload needs safety, 8K context, and 9B parameters. | 2024-07 | safety8K context9B parameters | Current |
| Gemma 2 27B | Use when the workload needs 8K context, 27B parameters, and structured outputs. | 2024-06 | 8K context27B parametersstructured outputs | Current |
| Gemma 2 9B | Use when the workload needs 8K context, 9B parameters, and structured outputs. | 2024-06 | 8K context9B parametersstructured outputs | Current |
| Gemma 2 9B Instruct | Use when the workload needs 8K context, 9B parameters, and structured outputs. | 2024-06 | 8K context9B parametersstructured outputs | Current |
Release Timeline
2 release groupsReplaced By
Keep for legacy integrations; evaluate Gemma 3 27B before new work.
Specifications(7 models)
| Model | Released | Context | Parameters | Structured Outputs |
|---|---|---|---|---|
| Gemma 2 2B | 2024-07 | 8K | 2B | No |
| Gemma 2 2B Instruct | 2024-07 | 8K | 2B | No |
| ShieldGemma 9B | 2024-07 | 8K | 9B | No |
| Gemma 2 27B | 2024-06 | 8K | 27B | Yes |
| Gemma 2 9B | 2024-06 | 8K | 9B | Yes |
| Gemma 2 9B Instruct | 2024-06 | 8K | 9B | Yes |
Available From(10 providers)
Pricing
| Model | Provider | Input / 1M | Output / 1M | Type |
|---|---|---|---|---|
| Gemma 2 9B | GCP Vertex AI | $0.06 | $0.18 | Serverless |
| Gemma 2 9B | Bitdeer AI | $0.08 | $0.24 | Serverless |
| Gemma 2 27B | Bitdeer AI | $0.08 | $0.24 | Serverless |
| Gemma 2 9B Instruct | Chutes AI | $0.1 | $0.3 | Serverless |
| Gemma 2 9B Instruct | Replicate API | $0.1 | $0.1 | Serverless |
| Gemma 2 9B Instruct | Fireworks AI | $0.2 | $0.2 | Serverless |
| Gemma 2 9B | Fireworks AI | $0.2 | $0.2 | Serverless |
| Gemma 2 27B | GCP Vertex AI | $0.3 | $0.9 | Serverless |
| Gemma 2 9B Instruct | Featherless | $0.431 | $1.12 | Serverless |
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