Grok 4 on real-time video

What Grok 4 is good at

Grok 4 is built as a frontier reasoning model first, with native vision rather than an added-on capability. It handles hard scientific questions, dense diagrams, and multi-step problems that combine visual detail with extended reasoning better than most general-purpose vision models.

Its 256K-token context window supports long conversation history or many reference images alongside a live video question, which matters for applications that need to keep substantial background context in view while also reasoning about what a camera currently sees.

• Hard scientific and technical reasoning with visual input
• Dense, diagram-heavy documents and figures
• Multi-step questions that combine reasoning with visual grounding

Grok 4 and the Overshoot workflow

Grok 4 is not currently in Overshoot's live model catalog. When a passthrough model like this is available, the request shape is identical to a hosted model: publish a camera or screen share over WebRTC to a Stream, and Overshoot retains 600 seconds of frame history so a chat-completions request can reference the latest frame, an exact timestamp, or a recent segment with an ovs:// URL.

For any passthrough model it exposes, Overshoot manages the stream, selects and packages the referenced frames, and streams the upstream provider's response back over SSE, so an application does not need separate integration code for a passthrough model versus a hosted one. Latency for passthrough inference depends on the upstream provider's serving conditions rather than Overshoot's typical hosted figures.

Grok 4 versus Overshoot-hosted models

Frontier closed models like Grok 4 trade a hosted low-latency path for deeper reasoning, which is the right tradeoff for questions that genuinely need that extra depth, such as complex diagrams or multi-step scientific analysis. For everyday visual question answering on a live stream, an Overshoot-hosted open-weight model like Llama 4 Scout or Qwen3-VL typically answers faster at lower cost. Grok 4 itself is not currently in the live catalog, so check GET /v1beta/models for which frontier models are reachable today.

Frequently asked questions

Can Grok 4 analyze live video?

Grok 4 accepts image input through xAI's API, but 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 of hosted and passthrough models.

Is Grok 4 open source?

No. Grok 4 is a proprietary model from xAI with undisclosed parameter counts. It is not currently in Overshoot's live model catalog on either the hosted or the passthrough path.

Is Grok 4 available on Overshoot?

Not currently. Grok 4 is not in the live model catalog at the moment; the catalog changes over time, so check GET /v1beta/models. If it becomes reachable as a passthrough model, latency would depend on xAI's serving conditions rather than the roughly 200ms figure typical of Overshoot-hosted open-weight models.

When should I use Grok 4 instead of a hosted model?

Frontier reasoning models like Grok 4 are worth a passthrough tradeoff for questions that need extra depth, such as dense diagrams or multi-step scientific analysis. Grok 4 is not currently in Overshoot's live catalog, so for routine visual question answering on a live stream today, an Overshoot-hosted model is the faster, lower-cost path.

Related models

• GPT-5
• Claude Opus
• Gemini 3 Pro
• Gemini 3 Flash