Gemini Gemma 2 9b It
At a glance
- Price per 1M tokens (input)
- $0.35
- Price per 1M tokens (output)
- $1.05
- Context
- 8,192 tokens
- Free access
- yes (see below)
Refreshed daily; data verified October 28, 2026. Published October 28, 2026.
Gemini Gemma 2 9b is a lightweight open model from Google designed for developers and teams that need multimodal and agentic capabilities without heavy infrastructure. It suits image understanding tasks and tool calling, which lets the model connect to external functions or APIs to perform actions. Google’s approach emphasizes open weights and flexible deployment across cloud and local environments.
Specifications & pricing
| Input (per 1M tokens) | $0.35 |
|---|---|
| Output (per 1M tokens) | $1.05 |
| Context window | 8,192 tokens |
| Max output | 8,192 tokens |
| Capabilities | images, tool calling |
LiteLLM community dataset (MIT), verified October 28, 2026. Official Google (Gemini) pricing.
What Gemini Gemma 2 9b It would cost on your workload — run it through the cost calculator →
Where to try Gemini Gemma 2 9b It for free
- Google (Gemini) offers a free chat — Gemini (free plan). A vendor's free chat may run a different model from the same family — the exact model is not guaranteed.
- 🎁 On our promo-codes page: Gemini for free: access and discounts.
Frequently asked questions
What is this model good for?+
It handles visual input analysis and can invoke external tools or functions to complete workflows such as data retrieval or application integration.
How do I get started?+
Access the model through Google’s model garden or supported inference platforms, then integrate it using standard APIs or local deployment options.
How does it differ from sibling models?+
It sits within the Gemma family as a compact variant optimized for efficient multimodal and tool-using tasks, while other siblings target different scales or specializations.
What are its limitations?+
Performance depends on hardware and prompt quality, and image understanding may be less precise than larger dedicated vision models.
Compare with others
Org chart: how to move your company onto AI
A practical map: which company roles and processes AI agents can take over, where to start, and in what order to roll it out.