Google: Gemma 3 4B
Google's Gemma 3 4B is a compact open-weight model with vision support and very low pricing, suited to simple classification or lightweight generation tasks. Its reasoning and coding benchmarks are among the lowest in the current landscape, limiting its usefulness for substantive business applications.
Assessment date: April 16, 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 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,..
Capabilities
Architecture
| Modality | Text + Image → Text |
| Tokenizer | Gemini |
| Instruct Type | gemma |
| Parameters | 4B |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Google: Gemma 3 4B stack up?
Compare side-by-side with other efficient models.
Model Information
| OpenRouter ID |
google/gemma-3-4b-it
|
| Provider | |
| Release Date | March 13, 2025 |
| Context Length | 131,072 tokens |
| Status | Active |
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.
