What is Small 3.1 24B API?
Small 3.1 24B is available through AIMLAPI.
Technical Specifications
- Supported inputs: Image, Text
- Output: Text
- Context window: 128,000 tokens / Max output: 128,000 tokens
- Endpoint: /chat/completions
Performance Benchmarks
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Small 3.1 24B API Pricing
- Input: $0.4563 / 1M tokens
- Output: $0.7215 / 1M tokens
Where to Use Small 3.1 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.
Fast-response conversational agents are a documented use case for this model, indicating it is suited to chat-style assistants that need quick replies.
Low-latency function calling is another documented use case, so it is suited to workflows where the model must trigger tools or structured actions efficiently.
Programming and math reasoning are listed as intended use cases, making the model suitable for coding help and quantitative problem-solving.
Long document understanding and visual understanding are also documented use cases, so it is suited to reading lengthy materials and interpreting images.
import requests r = requests.post( "https://api.aimlapi.com/v1/chat/completions", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "mistralai/mistral-small-3.1-24b-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-3.1-24b-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-3.1-24b-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 3.1 24B This page | Reasoning + agents | |||
| Reasoning + agents | ||||
| Balanced coding + agents | ||||
| Long-context, multimodal & agentic workflows | ||||
| Reasoning + agents |
Small 3.1 24B has a 128,000 tokens context window and can return up to 128,000 tokens.
Small 3.1 24B takes image, text as input and returns text.
Use mistralai/mistral-small-3.1-24b-instruct as the model id. Requests go to https://api.aimlapi.com/v1/chat/completions.
Small 3.1 24B is priced at input $0.4827654 / 1M tokens, output $0.763347 / 1M tokens.
Yes, Small 3.1 24B can stream responses as they are generated.
Yes, Small 3.1 24B accepts image input alongside text.
Small 3.1 24B was built by Mistral AI.
Yes, it supports function calling, parallel tool calls, and structured outputs.
