What is Small 3.2 24B API?
Small 3.2 24B is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 128,000 tokens / Max output: 16,384 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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Small 3.2 24B API Pricing
- Input: $0.0975 / 1M tokens
- Output: $0.26 / 1M tokens
Where to Use Small 3.2 24B
Coding and code review
Generate, debug, and review code across languages, reading whole files or repos in a single prompt.
Agentic and multi-step workflows
Reliable tool-calling and instruction-following suit agent loops that plan, call tools, and iterate.
Complex reasoning
Extended reasoning improves reliability on multi-step math, logic, and technical analysis.
Long-document analysis
Summarize and extract from contracts, papers, and reports without aggressive chunking.
Code Sample
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Measured on the AI/ML API gateway across live traffic. Figures are medians unless stated. Last updated 2026-10-12.
Document understanding and visual Q&A are documented use cases for this model, including reasoning over both textual and visual inputs. The model is also described as suitable for image-grounded content generation.
It is documented as fitting chat and tool-calling agent use cases, with emphasis on open licensing and low latency. Its function-calling capabilities are also described as supporting agentic workflows and structured automation.
The model is documented for document analysis, retrieval-augmented generation, and extended multi-turn interactions. These uses are tied to its configuration for text generation and tool execution.
It is also documented as useful for coding, STEM, and vision tasks, with benchmark strength noted in HumanEval+, MBPP, MMLU, MATH, GPQA, ChartQA, and DocVQA.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-small-3.2-24b-instruct", "messages": [ { "role": "user", "content": "Hello!" } ] }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/chat/completions", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "mistralai/mistral-small-3.2-24b-instruct", "messages": [ { "role": "user", "content": "Hello!" } ] }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/chat/completions \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"mistralai/mistral-small-3.2-24b-instruct","messages":[{"role":"user","content":"Hello!"}]}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Input | |
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Small 3.2 24B This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Small 3.2 24B has a 128,000 tokens context window and can return up to 16,384 tokens.
Small 3.2 24B takes image, text as input and returns text.
Use mistralai/mistral-small-3.2-24b-instruct as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Small 3.2 24B is priced at input $0.103155 / 1M tokens, output $0.27508 / 1M tokens.
Yes, Small 3.2 24B can stream responses as they are generated.
Yes, Small 3.2 24B accepts image input alongside text.
Small 3.2 24B was built by Mistral AI.
Yes, it supports function calling, tool use, and parallel tool calls.
Yes, it includes web search as a supported feature.
