Google: Gemma 3 4B
Google Gemma 3 4B is a compact open-weight model with vision support, but without benchmark data its general capability cannot be assessed — it is best suited to lightweight, on-device, or experimental deployments.
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.
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Gemini |
| Instruct Type | gemma |
| Parameters | 4B |
Model Information
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.04 | $0.000040 |
| Output | $0.08 | $0.000080 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
