Google: Gemma 3 12B
Google Gemma 3 12B is a compact multimodal model with vision support at very low cost, but without its own benchmark data it cannot be reliably scored — the free variant's benchmarks suggest limited capability for demanding tasks.
Assessment date: March 12, 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
Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities, including structured outputs and function calling. Gemma 3 12B is the second largest in the family of Gemma 3 models after Gemma 3 27B
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Gemini |
| Instruct Type | gemma |
| Parameters | 12B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.04 | $0.000040 |
| Output | $0.13 | $0.000130 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
