Mistral just updated its open source Small model from 3.1 to 3.2: here’s why

French AI darling Mistral is keeping the new releases coming this summer.

Just days after announcing its own domestic AI-optimized cloud service Mistral Compute, the well-funded company has released an update to its 24B parameter open source model Mistral Small, jumping from a 3.1 release to 3.2-24B Instruct-2506.

The new version builds directly on Mistral Small 3.1, aiming to improve specific behaviors such as instruction following, output stability, and function calling robustness. While overall architectural details remain unchanged, the update introduces targeted refinements that affect both internal evaluations and public benchmarks.

According to Mistral AI, Small 3.2 is better at adhering to precise instructions and reduces the likelihood of infinite or repetitive generations — a problem occasionally seen in prior versions when handling long or ambiguous prompts.

Similarly, the function calling template has been upgraded to support more reliable tool-use scenarios, particularly in frameworks like vLLM.

And ...