Mistral: Mistral Small 3.2 24B Instruct 2506
mistral/mistral-small-24b-instruct-2506
Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized 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).
Model specifications
- Input
- text
- Output
- text
- Context
- 128,000 tokens
- Max output
- 128,000 tokens
- Input price
- $0.075 / 1M tokens
- Output price
- $0.2 / 1M tokens
- Released
- 2026-03-21
Capabilities
- Streaming
- Function calling
- Vision
- JSON mode
- Playground
Provider pricing, discounts and data privacy
Compare effective provider prices, published discounts, regions, retention policies, training use, compliance, and privacy links by service tier.
Standard service tier
1 available provider · tier input average $0.075 / 1M tokens · tier output average $0.2 / 1M tokens
DeepInfra
Tier: Standard · Region: US · Quantization: fp8
Pricing
- Input
- $0.075 / 1M tokens
- Output
- $0.2 / 1M tokens
No provider discount is currently published.
Data privacy and compliance
- Region
- US
- Zero data retention
- Yes
- Data retention
- Zero retention
- Used for training
- No
- Data collection
- Moderated
- No
- GDPR compliant
- Yes
- HIPAA compliant
- No
- SOC 2 certified
- Yes
- BYOK supported
- Yes
Privacy policy · Terms · Official website · Documentation · Status · Support
Frequently asked questions
- What is Mistral: Mistral Small 3.2 24B Instruct 2506?
- Mistral-Small-3.2-24B-Instruct-2506 is an updated 24B parameter model from Mistral optimized 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).
- How much does Mistral: Mistral Small 3.2 24B Instruct 2506 cost?
- Input costs start at $0.075 / 1M tokens and output costs start at $0.2 / 1M tokens. Provider-level prices vary by service tier.
- What is the context length of Mistral: Mistral Small 3.2 24B Instruct 2506?
- Mistral: Mistral Small 3.2 24B Instruct 2506 supports a 128,000 token context window and up to 128,000 output tokens.
- What capabilities does Mistral: Mistral Small 3.2 24B Instruct 2506 support?
- Mistral: Mistral Small 3.2 24B Instruct 2506 supports Streaming, Function calling, Vision, JSON mode, Playground.
- Which providers offer Mistral: Mistral Small 3.2 24B Instruct 2506?
- Mistral: Mistral Small 3.2 24B Instruct 2506 is available from DeepInfra.
- How do providers handle data privacy for Mistral: Mistral Small 3.2 24B Instruct 2506?
- 1 of 1 providers report that customer data is not used for training, and 1 offer zero-data-retention routing. Retention, compliance, and privacy-policy links are listed per provider.