ModelsModels / Mistral AI
Mistral-Small-3.2-24B-Instruct-2506
Gets 90 of every 100 tool calls right on the public test. Best at calling a single tool, weaker at making several calls at once.
Mistral-Small-3.2-24B-Instruct-2506 is made by Mistral AI. It takes text and images, with a context window of 128,000 tokens. On Tīrtha it takes text.
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At a glance
Tested on Tīrtha Bench
Tool calling (public BFCL v4 test)
Overall: 90.2%*. Picks the right tool and fills in the inputs correctly on 90 of every 100 tasks.
One tool 92% · Picking the right tool 92% · Several calls at once 84%
A task counts as right only if the model calls the right tool with the right inputs. 800 tasks. Run on Oct 29, 2026. *Measured by Spanda Works on third-party hosts, not through Tīrtha. Results through Tīrtha may differ.
Handled several calls at once in our tests.
See Mistral-Small-3.2-24B-Instruct-2506 beside every other model on Tīrtha Bench →
What it supports
- Tool callingYesAlso measured on Tīrtha Bench
- Text inYes
- Image inYesText only on Tīrtha for now.
- StreamingYes
- Sampling settingsFixed todayThe maker suggests temperature 0.15. Tīrtha fixes temperature at 0 today.
From the maker
- Model card: mistralai/Mistral-Small-3.2-24B-Instruct-2506 on Hugging Face
- Built on: mistralai/Mistral-Small-3.1-24B-Base-2503
- Last updated by the maker: Dec 22, 2025
Facts here are read from the maker's published card; claims and benchmarks on that card are the maker's own, not measured by Tīrtha.
Licence
Weights: Apache-2.0. Read the licence.