Mistralai Mistral Small 3 2 24B Instruct, developed by Mistral AI, features 24B parameters and 131k-token context window. Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimised for instruction following, repetition reduction, and improved function calling. Compared to the 3.1 release, version 3.2 significantly improves accuracy on WildBench and Arena Hard, reduces infinite generations, and delivers gains in tool use and structured output tasks. It supports image and text inputs with structured outputs, function/tool calling, and strong performance across coding (HumanEval+, MBPP), STEM (MMLU, MATH, GPQA), and vision benchmarks (ChartQA, DocVQA). Priced affordably at $0.06/1M tokens.
Visit Mistral: Mistral Small 3.2 24BAI-Powered
Leverages advanced AI technology to deliver cutting-edge capabilities and results.
Fast & Efficient
Optimized performance ensures quick results without compromising on quality.
Purpose-Built
Specifically designed for llms tasks and workflows.
Mistralai Model Timeline
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Specifications
AI Evaluation
Optimized for programming tasks, this model excels at code generation, debugging, and software engineering workflows with solid benchmark performance.
Pros
- Budget-friendly at $0.06/1M tokens
- 131k token context window
- Strong code generation and debugging
- Image and visual analysis
Cons
- May lack creative flair
- API integration required
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