Gemini 3 Pro on live video streams
Gemini 3 Pro · Google DeepMind · Multimodal · Closed API
Gemini 3 Pro is Google DeepMind’s frontier reasoning tier of Gemini 3, released in November 2025 with a 1M-token context window and state-of-the-art long-video and document understanding. On Overshoot it is available as a passthrough model, reachable through the same stream publishing and OpenAI-compatible chat-completions request format used across the API.
Gemini 3 Pro is available through the Overshoot API as a passthrough model (gemini-3.1-pro-preview, status: ready, verified against the live model catalog on 2026-07-14) - requests are forwarded to the upstream provider rather than running on Overshoot's hosted infrastructure.
- Developer
- Google DeepMind
- Parameters
- Undisclosed
- Context window
- 1M tokens
- License
- Proprietary
- Released
- Nov 2025
- Inputs
- Text, images, video frames
- Overshoot availability
- API passthroughas of 2026-07-14
What Gemini 3 Pro is good at
Gemini 3 Pro is Google DeepMind’s frontier reasoning tier, built for the hardest visual understanding tasks: long-video comprehension, dense multi-page documents, and scenes that require weighing several details against each other before answering. It carries the deepest reasoning available in the Gemini 3 family.
The 1M-token context window pairs naturally with that strength, since long-video and document understanding both benefit from keeping extensive context, many sampled frames, and prior conversation turns available in a single request.
- State-of-the-art long-video and document understanding
- Deep multi-step visual reasoning over complex scenes
- A 1M-token context window that scales with long-form input
Running Gemini 3 Pro on Overshoot
Publish a camera or screen share over WebRTC through LiveKit to open a Stream, then send a chat-completions request whose image_url or video_url is an ovs:// reference to the latest frame, an exact timestamp, or a recent segment drawn from the 600-second retention window.
As a passthrough model, Gemini 3 Pro reaches the API through the same OpenAI-compatible endpoint used across Overshoot: the platform manages stream lifecycle, frame selection, and SSE streaming transport, then forwards the resolved request to Google. The current passthrough id in the live catalog is gemini-3.1-pro-preview, as returned by GET /v1beta/models.
Gemini 3 Pro versus Gemini 3 Flash
Pro pushes further than Gemini 3 Flash on reasoning depth and long-context comprehension, at higher cost and latency. Teams typically default to Flash for routine, high-volume visual queries and reserve Pro for tasks that specifically need its long-video or document reasoning ceiling.
Frequently asked questions
Can Gemini 3 Pro analyze live video?
Yes. Overshoot carries the live WebRTC stream and resolves an ovs:// reference to the latest frame or a recent segment, then forwards the chat-completions request to Google, where Gemini 3 Pro generates the response.
Is Gemini 3 Pro open source?
No. Gemini 3 Pro is a closed Google DeepMind model reachable only through Google’s API. Overshoot offers it as a passthrough option, with key management shared with its hosted open-weight models.
How fast is Gemini 3 Pro on Overshoot?
As a passthrough model, Gemini 3 Pro’s latency depends on Google’s own serving stack rather than Overshoot’s hosted path. Overshoot still handles stream publishing, frame selection, and SSE streaming transport, so the request and response shape match a hosted model.
What is Gemini 3 Pro best used for?
Gemini 3 Pro fits tasks that need deep reasoning over long video segments or dense documents, such as reviewing an extended recorded feed or extracting structured detail from many pages at once.