GPT-4o on live camera streams

What GPT-4o is good at

GPT-4o was trained end to end across text, vision, and audio rather than bolting a vision adapter onto a text model, which gives it fluent, low-latency handling of natural images and mixed-modality prompts. It remains a dependable general-purpose choice for scene description, visual question answering, and everyday reasoning over frames.

Its 128K-token context window is smaller than newer OpenAI models but still comfortably covers a working conversation plus several sampled frames, and its broad deployment history means its behavior on visual edge cases is well understood.

• Fluent general-purpose visual question answering
• Natural handling of mixed text, image, and audio prompts
• A well-understood baseline with a long deployment track record

GPT-4o and the Overshoot workflow

GPT-4o is not currently in Overshoot's live model catalog. When a model like GPT-4o is available through the API, the workflow is the same as for any other model: publish video over WebRTC through LiveKit to open a Stream, then send a chat-completions request whose image_url references the latest frame, an exact timestamp, or a recent segment via an ovs:// URL drawn from the 600-second retention window.

The platform handles stream lifecycle, frame selection, and SSE streaming transport for every model it exposes, whether hosted on its own fast path or passed through to an upstream provider such as OpenAI. To see which OpenAI models are live right now, query GET /v1beta/models.

GPT-4o versus GPT-5

GPT-4o was the workhorse omni model that preceded the GPT-5 family, and OpenAI has since folded its unified multimodal design into GPT-5's routed reasoning system. GPT-4o itself is not currently in Overshoot's live catalog, while GPT-5 and GPT-5 mini are reachable as passthrough models (current live ids gpt-5.4 and gpt-5.4-mini), and they generally give new integrations better reasoning depth at similar or lower cost.

Frequently asked questions

Can GPT-4o analyze live video?

GPT-4o accepts image input, including sampled video frames, through OpenAI's API. It is not currently in Overshoot's live model catalog, so it cannot be queried against an Overshoot stream today. The catalog changes over time; check GET /v1beta/models for the current list.

Is GPT-4o open source?

No. GPT-4o is proprietary to OpenAI and available only through its API. It is not currently in Overshoot's live model catalog, so there is no hosted or passthrough path for it on the platform today.

How does GPT-4o compare to GPT-5?

GPT-5 generally supersedes GPT-4o on reasoning-heavy vision tasks and offers a much larger context window, but GPT-4o remains a capable, well-tested option for straightforward multimodal queries and existing integrations built around it.

What context window does GPT-4o support?

GPT-4o supports a 128K-token context window, enough for a substantial conversation history plus several sampled video frames in a single request.

Related models

• GPT-5
• GPT-5 mini
• Claude Sonnet 4.5
• Gemini 3 Flash