Mistral Small 3.2 24B
mistral-small-3.2-24b-instructMistral-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... Built by Mistral AI.
Prices updated
Input price
$0.09
per 1M tokens · Standard
Output price
$0.25
per 1M tokens · Standard
Input limit
256K
tokens
Output limit
16K
tokens
Input formats
Output formats
Mistral Small 3.2 24B price history
2 price records since 9/25/2026
Mistral Small 3.2 24B cost calculator
$3.13/month
Standard pricing
Overview
What is Mistral Small 3.2 24B?
Mistral Small 3.2 24B is a text & reasoning and vision model from Mistral AI. 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... Its 256K context window and $0.09 input price make it a candidate for cost-sensitive, high-throughput applications.
Rates
Mistral Small 3.2 24B pricing
Pricing is based on token usage. Provider-specific caching, batch, regional, and tool charges may affect the final cost.
Input · Standard
$0.09
Per 1M tokens
Cached input · Standard
Not available
No listed cached-input rate
Capabilities
Mistral Small 3.2 24B Tools
Tools available when using Mistral Small 3.2 24B through supported provider APIs.
Function calling
Supported
Structured outputs
Supported
JSON mode
Supported
Reasoning
Not supported
Built-in web search
Not supported
Log probabilities
Supported
Deterministic seed
Supported
Parallel tool calls
Not supported
Prompt caching
Not supported
Strengths and limitations
Strengths
- Low input cost at $0.09 per million tokens suits high-volume workloads.
- 256K context supports large documents, repositories and extended conversations.
- Supports text & reasoning and vision workloads in one model.
Limitations
- Real-world cost still depends on prompt length, response length and provider-specific billing rules.
- Large context capacity does not guarantee consistent retrieval across the entire prompt.
- Arena Elo and MMLU-Pro are directional; test accuracy, latency and reliability on your own workload before committing.
Arena Elo, MMLU-Pro and pricing figures are illustrative; validate current vendor terms before purchase.
Same provider