Phi-3.5 Vision on live video streams
Phi-3.5 Vision · Microsoft · Small VLM · Open-weight
Phi-3.5 Vision is Microsoft’s small multimodal model, released August 2024 at 4.2B parameters and built for multi-frame image understanding in a compact footprint. Phi-3.5 Vision is not currently in Overshoot's live model catalog. When a compact multi-frame model like this is available through the API, a live camera or screen-share stream can be queried through the same low-latency, OpenAI-compatible chat-completions interface used for still images.
Phi-3.5 Vision is not currently in the live Overshoot model catalog (verified against the live model catalog on 2026-07-14). Availability changes over time - query GET /v1beta/models for the current list.
- Developer
- Microsoft
- Parameters
- 4.2B
- Context window
- 128K tokens
- License
- MIT
- Released
- Aug 2024
- Inputs
- Text, images, video frames
- Overshoot availability
- Not in live catalogas of 2026-07-14
What Phi-3.5 Vision is good at
Phi-3.5 Vision was designed from the start to reason across several images at once, not just a single frame, which makes it well suited to comparing frames sampled at different points in a video or tracking how a scene changes over a short window.
Its small 4.2B footprint keeps inference cheap and fast without giving up general visual competence, so it remains a practical option for products that need to query video often, run on constrained infrastructure, or keep serving costs low at scale.
- Multi-frame comparison and change tracking across a video sequence
- Cost-sensitive deployments that query video frequently
- General visual question answering in a compact model footprint
Phi-3.5 Vision and live video streaming
Phi-3.5 Vision is not currently in Overshoot's live model catalog, and GET /v1beta/models is the authoritative list at any moment. The workflow it would slot into is uniform across the API: publish video over WebRTC through LiveKit to open a Stream, then send a chat-completions request with an ovs:// reference to the frames you need: the latest frame, an exact timestamp, or a recent segment sampled at up to 1 fps from the 600 seconds of retained history.
Phi-3.5 Vision's multi-frame training makes it the kind of model that fits requests referencing more than one point in a stream at once, so it would pair well with segment-based ovs:// references and SSE streaming if it enters the catalog.
How it compares to Phi-4 Multimodal
Phi-3.5 Vision is the predecessor to Phi-4 Multimodal, which is larger at 5.6B parameters, adds speech as a modality, and improves document and math performance. Phi-3.5 Vision remains a lighter-weight option when a task is purely visual and the smaller model’s multi-frame strengths are enough.
Frequently asked questions
Can Phi-3.5 Vision analyze live video?
Phi-3.5 Vision was built for multi-frame image understanding, so it can analyze video by reading sampled frames when self-hosted or served by another provider. It is not currently in Overshoot's live model catalog, so it cannot be pointed at an Overshoot WebRTC stream today. Check GET /v1beta/models for the current catalog.
Is Phi-3.5 Vision open source?
Yes. It ships under the MIT license, which permits unrestricted commercial use, modification, and self-hosting of the weights.
Is Phi-3.5 Vision available on Overshoot?
Not currently. Phi-3.5 Vision is not in Overshoot's live model catalog. The catalog changes over time, so check GET /v1beta/models for the up-to-date list before building against a specific model.
What is Phi-3.5 Vision best used for?
It is built for multi-frame image understanding in a small footprint, which makes it a good fit for comparing several sampled frames from a video or running frequent, low-cost visual queries against a stream of footage.