Best LLMs for Tool Calling — Mistral
The best Mistral model for tool calling is Mistral Medium 3.5, completing 94.2% of Tau²-Bench's multi-turn tool-use tasks. Mistral Medium 3.1 (40.6%) and Mistral Large 2407 (33.0%) round out the top three.
- 1
mistral-medium-3-5ReasoningToolsJSON+129.9 intel · $1.50/M · 152 t/s94.2%τ²-Bench - 2mistral-medium-3.1ToolsJSONVision14.7 intel · $0.400/M · 45 t/s40.6%τ²-Bench
- 3mistral-large-2407ToolsJSON7.3 intel · $2.00/M · 131K ctx33.0%τ²-Bench
- 4mistral-medium-3ToolsJSONVision12.5 intel · $0.400/M · 41 t/s24.3%τ²-Bench
How this is ranked
AI models ranked by Tau²-Bench — multi-turn conversations where the model has to call the right tools, in the right order, against a real API to complete a customer task. This measures whether function calling actually works under pressure, which is a different question from whether a model supports the parameter at all.
Frequently asked
Which Mistral model is best at tool calling?
The best Mistral model for tool calling is Mistral Medium 3.5, completing 94.2% of Tau²-Bench's multi-turn tool-use tasks. Mistral Medium 3.1 (40.6%) and Mistral Large 2407 (33.0%) round out the top three.
What's a good alternative to Mistral Medium 3.5?
Mistral Medium 3.1 (40.6%) is the closest alternative on this metric, followed by Mistral Large 2407 (33.0%). See the full ranking above for the tradeoffs.
How many Mistral models are there?
modelgrep tracks 18 Mistral models with live benchmarks, speed, latency and per-provider pricing, led on intelligence by Mistral Medium 3.5. 4 of them qualify for this ranking.