Mistral Small 3.1 for real-time streams

What Mistral Small 3.1 is good at

Mistral Small 3.1 is built for efficient deployment first: at 24B parameters it fits on a single high-end GPU, which keeps both hosting cost and latency low relative to Mistral AI's larger multimodal models. Vision quality is solid for everyday tasks like describing a scene, reading visible text, or answering direct questions about an image.

It is a strong default for applications that need vision on every request but cannot justify the cost of a much larger model for the majority of those requests, reserving something heavier for a smaller share of harder questions.

• General visual question answering at low serving cost
• Reading text and labels visible in a frame
• High-throughput deployments that need vision on every request

Mistral Small 3.1 and Overshoot's streaming workflow

Mistral Small 3.1 is not currently in Overshoot's live model catalog. Models that are live read footage the same way: publish a camera or screen share over WebRTC to a Stream, and Overshoot keeps 600 seconds of frame history available behind it. A chat-completions request references that footage with an ovs:// URL anchored to the latest frame, an exact timestamp, or a recent segment.

If Mistral Small 3.1 were served through the API, its smaller parameter count would keep time to first token low as answers stream back over SSE. For any catalog model, a shared thread_id keeps the prompt cache warm across repeated questions about the same stream.

Mistral Small 3.1 within the Mistral lineup

Mistral Small 3.1 sits below Pixtral 12B and Pixtral Large in raw visual reasoning capability, but it runs cheaper and faster, which makes it the practical default for applications that need vision at scale rather than on a handful of hard queries. Teams that hit its reasoning ceiling typically move up to Pixtral 12B or Pixtral Large for the harder subset of requests rather than replacing it outright.

Frequently asked questions

Can Mistral Small 3.1 analyze live video?

Mistral Small 3.1 handles images alongside text, so it can reason over frames sampled from live video. It is not currently in Overshoot's live model catalog, so it cannot be called against Overshoot streams today. Catalog models reference the latest frame or a recent segment with an ovs:// URL in a chat-completions request, with responses streamed back over SSE.

Is Mistral Small 3.1 open source?

Mistral Small 3.1 is released under the Apache 2.0 license with fully downloadable weights and no usage restrictions.

Is Mistral Small 3.1 available on Overshoot?

Not currently. Mistral Small 3.1 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 Mistral Small 3.1 best used for?

It fits applications that need vision on most or every request and want to keep serving cost down, such as general visual question answering and reading text in a frame. Harder reasoning tasks are better served by Pixtral 12B or Pixtral Large.

Related models

• Pixtral 12B
• Pixtral Large
• Gemma 4 31B
• Phi-4 Multimodal