Atlas / Models / Mistral AI / Mistral: Mistral Small 3.1 24B

Mistral: Mistral Small 3.1 24B✓ Catalog verified

mistralai/mistral-small-3.1-24b-instruct

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and vision tasks, including image analysis, programming, mathematical reasoning, and multilingual support across dozens of languages. Equipped with an extensive 128k token context window and optimized for efficient local inference, it supports use cases such as conversational agents, function calling, long-document comprehension, and privacy-sensitive deployments. The updated version is Mistral Small 3.2

Input price
$0.03 /1M
Output price
$0.11 /1M
Context
131K
Modalities
textimage
Released
Mar 17, 2025
Tool calling
Atlas signal
86/100
01

Overview

Mistral Small 3.1 24B Instruct is an upgraded variant of Mistral Small 3 (2501), featuring 24 billion parameters with advanced multimodal capabilities. It provides state-of-the-art performance in text-based reasoning and vision tasks, including image analysis, programming, mathematical reasoning, and multilingual support across dozens of languages. Equipped with an extensive 128k token context window and optimized for efficient local inference, it supports use cases such as conversational agents, function calling, long-document comprehension, and privacy-sensitive deployments. The updated version is Mistral Small 3.2

Access: available through the official Mistral AI API. Context window: 131K.

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

Specifications

API identifiermistralai/mistral-small-3.1-24b-instruct
ProviderMistral AI
Model typeMultimodal LLM
Context window131K catalog
Input modalitiestext · image
Output modalitiestext
ReleasedMar 17, 2025
TokenizerMistral
ModeratedNo
Architecture modalitytext+image->text
Supported parameters
frequency_penaltymax_tokenspresence_penaltyrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetop_ktop_p
Source: provider documentation + catalog feedMethodology →

API defaults

Default parameters
{
  "temperature": 0.3
}
03

Pricing

Live pricing components for mistralai/mistral-small-3.1-24b-instruct as published in the catalog.

$0.03
Input /1M
$0.11
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$3e-8$0.03 / 1MPer input token
Completion tokens$1.1e-7$0.11 / 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

$0.04Calculated 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 CallingNot advertisedSupports 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 3.1 24B
MMLU Signal (Reasoning)
85signal
Coding Signal (HumanEval proxy)
82signal
Math Signal (GSM8K proxy)
88signal
Science Signal (GPQA proxy)
87signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Mistral: Mistral Small 3.1 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-3.1-24b-instruct",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
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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 3.1 24B cost?

$0.03 per 1M input tokens and $0.11 per 1M output tokens on the official Mistral AI API.

What is the context window of Mistral: Mistral Small 3.1 24B?

Mistral: Mistral Small 3.1 24B supports up to 131K tokens of context.

Does Mistral: Mistral Small 3.1 24B support tool / function calling?

Mistral: Mistral Small 3.1 24B does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.

How do I access Mistral: Mistral Small 3.1 24B?

Use the official Mistral AI API with the model id `mistralai/mistral-small-3.1-24b-instruct`. See the Quick start section above for code examples.