Gemma 4 31B on live video streams

What Gemma 4 31B is good at

As a dense 31B model, Gemma 4 31B trades the routing complexity of a mixture-of-experts design for consistent, predictable quality across every request. That makes it a solid default choice for general visual question answering, scene description, and document reading, without the variance that can come from expert-selection in sparser architectures.

The 128K context window is enough to hold a long chat history, several tool calls, and a handful of sampled video frames in one thread, which suits assistants that need to remember what happened earlier in a session rather than treating each frame in isolation.

• General-purpose visual question answering and scene description
• Document and UI reading from camera or screen-share frames
• Multi-turn assistants that need a long-lived conversation window

Running Gemma 4 31B on Overshoot

Publish a camera or screen-share track over WebRTC through LiveKit, then send a chat-completions request whose image_url or video_url points at an ovs:// reference, with the model id set to google/gemma-4-31B-it. Overshoot keeps 600 seconds of frame history per Stream, so a reference can anchor the latest frame, an exact timestamp, or a bounded recent segment.

Because Gemma 4 31B runs on Overshoot’s hosted fast path, responses stream token by token over SSE with the same sub-second time to first token as the rest of the open-weight lineup. Pass a stable thread_id to keep prompt cache hits when the same stream is queried repeatedly.

How it compares to Gemma 4 26B-A4B

Gemma 4 31B and Gemma 4 26B-A4B ship together as the two faces of the same generation: 31B is dense and easier to reason about at a fixed cost per token, while 26B-A4B is a mixture-of-experts model that only activates 4B parameters per token, which lowers serving cost at scale. Teams building latency-sensitive, high-volume live-video features often reach for 26B-A4B first and use 31B when they want the simplicity of a single dense path.

Frequently asked questions

Can Gemma 4 31B analyze live video?

Yes. Overshoot streams a live WebRTC feed through LiveKit and lets your application reference the latest frame or a recent segment with an ovs:// URL inside a standard chat-completions request. Gemma 4 31B, served as google/gemma-4-31B-it, reads the referenced frames and streams its answer back over SSE.

Is Gemma 4 31B open weight?

Yes. Gemma 4 31B ships under the Gemma Terms of Use, which permits downloading and self-hosting the weights with some usage conditions. Its open-weight status is what lets Overshoot serve it on the low-latency hosted path.

How fast is Gemma 4 31B on Overshoot?

Overshoot-hosted open-weight models typically answer in about 200ms. Gemma 4 31B runs on that same hosted fast path, so live-video queries return with sub-second time to first token rather than the multi-second latency typical of proprietary passthrough calls.

What is the difference between Gemma 4 31B and Gemma 4 26B-A4B?

Gemma 4 31B is a dense 31B model, while Gemma 4 26B-A4B is a mixture-of-experts model with 26B total and only 4B active parameters per token. Both share a 128K-token context window and the same April 2026 release, but 26B-A4B is tuned for lower-cost, high-volume serving.

Related models

• Gemma 4 26B-A4B
• Gemma 3 27B
• Llama 4 Scout
• Qwen3-VL 32B
• Qwen3.6 27B
• Qwen3.6 35B A3B