Gemma 3 12B is Google's lightweight multimodal model with text and image capabilities, featuring a 131K token context window for efficient processing tasks.
| Provider | Input / 1M | Output / 1M |
|---|---|---|
| $0.050 | $0.150 | |
| $0.050 | $0.150 | |
| $0.050 | $0.100 | |
| $0.050 | $0.150 | |
| $0.090 | $0.290 |
Prices updated daily. Last check: Sep 6, 2026
Input, output, and batch rates, plus alternatives, for one provider at a time.
Benchmarks measured Sep 2026. Scores are independent evaluations, not vendor-reported.
Gemma 3 12B is well-suited for applications requiring multimodal processing at moderate scale, including document analysis that combines text and visual elements, content moderation across text and image platforms, educational tools that process mixed media content, and customer service systems handling both written queries and image attachments. Its lightweight architecture makes it appropriate for organizations needing multimodal capabilities without the computational costs of larger models, while the 131K context window supports processing substantial documents or maintaining extended conversations that incorporate visual information.
Gemma 3 12B pricing varies by provider and pricing type (standard vs batch). Check the pricing table above for current rates across all providers.
Gemma 3 12B excels at multimodal tasks requiring both text and image processing, such as document analysis with visual elements, content moderation, and customer service applications. Its lightweight architecture makes it ideal when you need reasonable multimodal capabilities without the computational overhead of flagship models.
No, Gemma 3 12B does not support tool calling or function execution capabilities. It focuses on multimodal text and image understanding rather than agentic workflows that require external tool integration.