Gemma 4 31B — Multimodal Language Models AI Model
Gemma 4 31B is Google DeepMind's flagship open vision-language model: a prompt plus up to two reference images in, text out. Visual Q&A, captioning, comparison, 256K context and an optional thinking mode.
Details
- CategoryMultimodal Language Models
- Year2026
- LicenseApache-2.0
Compliance & Provenance
- ProviderGoogle (open weights) · GPAI
- EU AI Act RiskLimited Risk
- Art. 50 TransparencyRequired — AI-generated outputs are marked
Inputs & Outputs
- TextInput · string
Text prompt, question, or instruction for the model (e.g. 'Describe this image in detail', 'What objects are visible?', 'Summarize the scene'). Used standalone for pure text generation or combined with an image for visual understanding tasks.
- Image 1Input · image · optional
Optional reference image for visual understanding. When provided, the model analyzes the image content together with the text prompt. Supports up to 4096x4096 resolution. Connect from any image-producing node (e.g. super-resolution, deblur, inpainting) to analyze processed results.
- Image 2Input · image · optional
Optional second reference image. When provided alongside Image 1, the model can compare, contrast, or jointly reason over both images with the text prompt. Supports up to 4096x4096 resolution.
- TextOutput · string
Generated text response from the model. Content depends on the input: image description, answer to a visual question, or general text generation. Can be connected to downstream text-consuming nodes (e.g. Text Processing, conditional gates).
Tags
Alternatives in Multimodal Language Models
- Gemma4-E2B
Gemma 4 E2B compact VLM, 128K context, bf16.
- Qwen3.6-35B-MoE
Qwen 3.6 35B/A3B MoE VLM, 256K context. fast inference.