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Command A Vision on live video streams

Command A Vision · Cohere · VLM · Open + API

Command A Vision is Cohere's enterprise-focused vision-language model, built at 112B parameters for reading charts, tables, and documents in business and multilingual settings. Command A Vision is not currently in Overshoot's live model catalog. When a model like this is available through the API, a live WebRTC stream can be queried with an ovs:// reference and answered through an OpenAI-compatible chat-completions request.

Command A 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
Cohere
Parameters
112B
Context window
128K tokens
License
CC-BY-NC 4.0 (open weights) + Cohere API
Released
Jul 2025
Inputs
Text, images, video frames
Overshoot availability
Not in live catalogas of 2026-07-14

What Command A Vision is good at

Command A Vision is tuned for the kind of visual content enterprises actually work with: charts, tables, scanned documents, dashboards, and slides, rather than open-domain photography. It reads structured business content and answers questions grounded in the specific numbers or labels shown, which matters for reporting and compliance work.

It also carries Cohere’s multilingual strength into the visual domain, so business documents and dashboards in different languages are handled without a separate localization step. The 128K context window supports long documents or many sampled frames in one request.

  • Chart, table, and dashboard reading with grounded answers
  • Document QA over scans, slides, and business reports
  • Multilingual business content across enterprise use cases

Command A Vision and the Overshoot API

Command A Vision is not currently in Overshoot's live model catalog; the authoritative list is GET /v1beta/models. If an enterprise document model like this were available through the API, the workflow would be the standard one: publish a camera or screen share over WebRTC to open a Stream, then send a chat-completions request whose image_url or video_url is an ovs:// reference, anchored to the latest frame, an exact timestamp, or a recent segment. That pattern suits reading a shared dashboard or a document under a camera in real time.

For open-weight models that Overshoot does serve on its hosted infrastructure, answers stream back over SSE with low time to first token, and reusing thread_id across a session keeps prompt caching effective for repeated questions against the same document or stream.

Command A Vision next to Aya Vision 32B

Command A Vision is the larger, enterprise-tuned sibling to Cohere Labs’ Aya Vision 32B, which prioritizes broad multilingual captioning and visual QA over enterprise document depth. Where a task centers on charts, tables, or business documents rather than general photography, Command A Vision’s scale and training focus give it the edge.

Frequently asked questions

Can Command A Vision analyze a live video stream?

Command A Vision is built to read charts, tables, and documents, but it is not currently in Overshoot's live model catalog. When a model like this is available through the API, you reference a live WebRTC stream with an ovs:// URL in a chat-completions request and the answer streams back over SSE; GET /v1beta/models lists what is live.

Is Command A Vision open source or a paid API?

Both are available from Cohere. Cohere releases the weights under CC-BY-NC 4.0 for non-commercial use and also offers a commercial API. Command A Vision is not currently in Overshoot's live model catalog.

How fast is Command A Vision on Overshoot?

Command A Vision is not currently in Overshoot's live model catalog, so no Overshoot latency figure applies. Models on Overshoot's hosted fast path typically answer in about 200ms; check GET /v1beta/models for the models that are currently live.

What is the difference between Command A Vision and Aya Vision 32B?

Command A Vision is a larger 112B model tuned for enterprise charts, tables, and document QA, while Aya Vision 32B is smaller and prioritizes broad multilingual captioning and visual question answering across general content.

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