MiniCPM-V 4.5 on live video streams
MiniCPM-V 4.5 · OpenBMB · Small VLM · Open-weight
MiniCPM-V 4.5 is OpenBMB's compact vision-language model, built on a Qwen3-8B base with a SigLIP2 vision encoder and tuned for high-refresh video understanding and strong OCR. Its 3D-Resampler compresses many video frames into a small number of visual tokens, keeping long video sequences affordable to process. MiniCPM-V 4.5 is not currently in Overshoot's live model catalog. When a model is live in the catalog, the workflow is to publish live video over WebRTC and reference a segment with an ovs:// URL.
MiniCPM-V 4.5 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
- OpenBMB
- Parameters
- 8B (Qwen3-8B base + SigLIP2 vision)
- Context window
- 32K tokens
- License
- OpenBMB model license (free commercial use with registration)
- Released
- Aug 2025
- Inputs
- Text, images, video
- Overshoot availability
- Not in live catalogas of 2026-07-14
What MiniCPM-V 4.5 is good at
MiniCPM-V's 3D-Resampler compresses multiple video frames into a small set of visual tokens, which lets it reason over longer, higher-refresh video sequences than models that encode every frame independently. That makes it well suited to tasks that need to track change over time, not just describe a single frame.
It also carries strong OCR and document parsing, a legacy of the MiniCPM-V line's focus on real-world phone and document photos. Combined with a footprint small enough to deploy on a phone, it covers both live video and static document workloads with one model.
- High-refresh video understanding via compressed visual tokens
- Strong OCR and document parsing on real-world photos
- Phone-deployable footprint alongside solid video reasoning
MiniCPM-V 4.5 and Overshoot's streaming workflow
MiniCPM-V 4.5 is not currently in Overshoot's live model catalog. For models that are, the workflow is: publish a camera or screen share over WebRTC through LiveKit, then send a chat-completions request whose video_url is an ovs:// reference to a recent segment, using start and end anchors and an optional max_fps. MiniCPM-V's 3D-Resampler would make it comparatively efficient at handling these multi-frame segments if a model like it were served through the API.
Catalog models stream responses back over SSE, and thread_id keeps prompt caching warm across repeated queries against the same stream, useful when an application asks a running series of questions about an ongoing video feed.
MiniCPM-V within the small-VLM tier
MiniCPM-V 4.5 sits above SmolVLM2 and Moondream in parameter count but below the larger Qwen2.5-VL and InternVL3 models, trading some raw capacity for its video-token compression trick and strong OCR. Teams that need to reason over longer video segments, not just single frames, or that handle a lot of document and text-in-image content, tend to prefer MiniCPM-V over the smaller tier.
Frequently asked questions
Can MiniCPM-V 4.5 analyze live video?
MiniCPM-V 4.5 was built for high-refresh video understanding, with a 3D-Resampler that compresses sampled frames into a small number of visual tokens. It is not currently in Overshoot's live model catalog, so it cannot read Overshoot streams today. Catalog models read a live WebRTC stream via an ovs:// video URL and stream answers back over SSE.
Is MiniCPM-V 4.5 open source?
MiniCPM-V 4.5 is released under the OpenBMB model license, which allows free commercial use after registration, and its weights are downloadable for self-hosting.
How does MiniCPM-V 4.5 handle long video?
Its 3D-Resampler compresses multiple frames into a small number of visual tokens, so it can take in more of a video sequence than models that encode each frame at full cost. That makes it comparatively efficient for high-refresh or longer segments.
Is MiniCPM-V 4.5 available on Overshoot?
Not currently. MiniCPM-V 4.5 is not in Overshoot's live model catalog. The catalog changes over time, so check GET /v1beta/models for the current list of models available through the API.
What is MiniCPM-V 4.5 best used for?
MiniCPM-V fits video understanding tasks that need to track change over a segment rather than a single frame, plus document and OCR-heavy workloads. Its phone-deployable size also makes it a candidate for constrained-hardware and on-device deployments.