- Gemma 4 31B runs at over 1,800 tokens per second on Cerebras Inference, enabling fast multimodal applications.
- It is the first Google DeepMind model on Cerebras with image input support for screenshots, documents, charts, and UI states.
- Cerebras achieves record speed and low latency, making Gemma 4 suitable for real-time visual and agentic workflows.
- Gemma 4 31B matches Claude Haiku 4.5 in intelligence but runs 18x faster and is open-weight under Apache 2.0.
- The model's high speed transforms product development, allowing instant iteration and complex multimodal loops.
- As a dense, efficient model, Gemma 4 31B is designed for quality without the large footprint of MoE models.
- Example applications include real-time screenshot analysis, long-context summarization, and UI debugging.
- Gemma 4 31B is available on the Cerebras Inference Cloud in public preview for multimodal workloads.