Google: Gemma 2 9B
Review
Gemma 2 9B is a small open-weight model from Google with no benchmark data and a very limited 8K context window; it is best suited for lightweight, self-hosted experimentation rather than professional business use.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
Gemma 2 9B by Google is an advanced, open-source language model that sets a new standard for efficiency and performance in its size class. Designed for a wide variety of tasks, it empowers developers and researchers to build innovative applications, while maintaining accessibility, safety, and cost-effectiveness. See the launch announcement for more details. Usage of Gemma is subject to Google's Gemma Terms of Use.
Architecture
| Modality | Text → Text |
| Tokenizer | Gemini |
| Instruct Type | gemma |
| Parameters | 9B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.03 | $0.000030 |
| Output | $0.09 | $0.000090 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
External Resources
Data sourced from OpenRouter API, Artificial Analysis and Hugging Face Open LLM Leaderboard. Scores are editorially curated by our team.
Last updated: April 4, 2026 8:54 pm