Atlas / Models / Mistral AI / Mistral: Mistral Small 3.2 24B

Mistral: Mistral Small 3.2 24B✓ Catalog verified

mistralai/mistral-small-3.2-24b-instruct

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).

Input price
$0.07 /1M
Output price
$0.20 /1M
Context
128K
Modalities
imagetext
Released
Jun 20, 2025
Tool calling
✓ Yes
Atlas signal
84/100
01

Overview

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).

Access: available through the official Mistral AI API. Context window: 128K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifiermistralai/mistral-small-3.2-24b-instruct
ProviderMistral AI
Model typeMultimodal LLM
Context window128K catalog
Input modalitiesimage · text
Output modalitiestext
ReleasedJun 20, 2025
TokenizerMistral
ModeratedNo
Architecture modalitytext+image->text
Supported parameters
frequency_penaltylogit_biasmax_tokensmin_ppresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "temperature": 0.3
}
03

Pricing

Live pricing components for mistralai/mistral-small-3.2-24b-instruct as published in the catalog.

$0.07
Input /1M
$0.20
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$7.5e-8$0.07 / 1MPer input token
Completion tokens$2e-7$0.20 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.08Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual Understanding✓ SupportedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Mistral: Mistral Small 3.2 24B
MMLU Signal (Reasoning)
79signal
Coding Signal (HumanEval proxy)
88signal
Math Signal (GSM8K proxy)
88signal
Science Signal (GPQA proxy)
79signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Mistral: Mistral Small 3.2 24B through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="mistralai/mistral-small-3.2-24b-instruct",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Mistral: Mistral Small 3.2 24B cost?

$0.07 per 1M input tokens and $0.20 per 1M output tokens on the official Mistral AI API.

What is the context window of Mistral: Mistral Small 3.2 24B?

Mistral: Mistral Small 3.2 24B supports up to 128K tokens of context.

Does Mistral: Mistral Small 3.2 24B support tool / function calling?

Yes, Mistral: Mistral Small 3.2 24B supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Mistral: Mistral Small 3.2 24B?

Use the official Mistral AI API with the model id `mistralai/mistral-small-3.2-24b-instruct`. See the Quick start section above for code examples.