
The biggest thing I like about Mistral Small 3.2 is how reliable it feels for practical, everyday tasks. Its instruction-following is better than the previous version, and I’ve found it useful when I need the model to stick to a specific format or workflow rather than giving a generic answer. The improved function calling is also a nice advantage for applications that use tools or APIs. It’s a good balance of capability and efficiency, especially for a 24B model. Review collected by and hosted on G2.com.
The main thing I dislike about Mistral Small 3.2 is that it can still struggle with deeper reasoning and factual accuracy. For straightforward coding, summarization, and everyday tasks it works well, but for more complex reasoning I sometimes need to double-check the output. Review collected by and hosted on G2.com.