Mistral Small 3.2 24B Instruct

Mistral Small 3.2 24B Instruct is a 24-billion-parameter model from Mistral AI, a French lab known for open-weight releases under permissive licenses. According to Mistral's own documentation, it is an update of Mistral-Small-3.1-24B-Instruct, keeping the same 24B architecture while refining behavior rather than scaling up. It is distributed under Apache 2.0 and supports both image and text inputs, function calling, and structured outputs.

Compared with its 3.1 predecessor, Mistral's documentation describes version 3.2 as focusing on enhanced instruction following, reduced repetition and "infinite generation" errors, and more robust function calling and structured output. The lab frames this as a targeted refinement of the existing model rather than a broad capability leap, with most other categories expected to match or slightly improve on Small 3.1.

On this Venice deployment, the model runs in fp8 quantization with a large context window and adds web-search capability, alongside its native function calling.

Within the same family, the newer [[sibling:mistral-small-2603|Mistral Small 4]] is a larger, later release, marking a different design point from this efficiency-oriented 24B model. For users wanting a compact, openly licensed model that balances speed with multimodal and tool-use capability, Mistral Small 3.2 remains a practical general-purpose option.

Sources

Mistral Small 3.2 - Mistral AI | Mistral Docs· docs.mistral.aiMistral-Small-3.2-24B-Instruct-2506 - NGC Catalog - NVIDIA· catalog.ngc.nvidia.comQuery the Mistral Small 3.2 24B Instruct 2506 API — NVIDIA NIM for Vision Language Models (VLMs)· docs.nvidia.commistral-small-24b-instruct Model by Mistral AI | NVIDIA NIM· build.nvidia.commistralai/Mistral-Small-3.2-24B-Instruct-2506 · Hugging Face· huggingface.co

This About section is AI-generated from public sources via VeniceStats + Venice inference, with no human editing. It may contain inaccuracies.