Mistralactive

Mistral Small 3.1 24B

Released at: March 17, 2025

API StatusAvailable for integration
Context Window128,000 tokens✓ verified 1d ago
Input Price / MTok$0.35✓ verified 1d ago
Output Price / MTok$0.56✓ verified 1d ago

Model Overview

Mistral · Active Model

  • Long-Context
  • API Available
  • Vetted Benchmarks
  • Production Ready

Mistral Small 3.1 24B by Mistral — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

Mistral Small 3.1 24B is an advanced artificial intelligence model engineered by Mistral. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Mistral Small 3.1 24B represents a key architectural iteration in the Mistral model family. First released in 2025-03-17, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 128,000 tokens (approximately 171 words), Mistral Small 3.1 24B processes multi-file code repositories, lengthy technical reports, and complex prompts in a single inference call.


2. Technical Architecture & Verified Specifications§

Official specification breakdown for Mistral Small 3.1 24B based on verified provider metadata:

  • Model Name: Mistral Small 3.1 24B
  • Developer / Provider: Mistral
  • Context Window Capacity: 128,000 tokens (~171 words)
  • Modality Support: Text, Code
  • API Availability: Available via API Gateway
  • Tool-Calling Accuracy Score: Pending Empirical Benchmark
  • Time to First Token (TTFT): Varies by Host Provider

3. Benchmark Evaluations & Performance Metrics§

Mistral Small 3.1 24B undergoes standardized evaluation across key industry benchmark suites:

  • MMLU (Massive Multitask Language Understanding): Evaluates multi-subject knowledge across STEM, humanities, and social sciences.
  • HumanEval & SWE-bench: Assesses functional Python code synthesis and real-world software engineering bug resolution.
  • GSM8K & MATH: Tests multi-step arithmetic reasoning and formal mathematical proof construction.
  • Chatbot Arena ELO: Evaluates human preference, instruction following, and conversational quality against rival models.

4. Developer API & Integration Specs§

Programmatic integration for Mistral Small 3.1 24B follows standard OpenAI-compatible REST endpoints.

import os
import requests

api_key = os.getenv("MODEL_API_KEY")
url = "https://openrouter.ai/api/v1/chat/completions"

headers = {
    "Authorization": f"Bearer {api_key}",
    "Content-Type": "application/json"
}

payload = {
    "model": "mistral-small-3-1-24b",
    "messages": [
        {"role": "system", "content": "You are a senior software architect and AI system evaluator."},
        {"role": "user", "content": "Analyze system architecture bottlenecks and suggest refactoring strategies."}
    ],
    "temperature": 0.1,
    "max_tokens": 2048
}

response = requests.post(url, headers=headers, json=payload)
print(response.json())

5. Production Use Cases & Deployment Scenarios§

5.1 Autonomous Agents & Tool Execution§

Given its instruction compliance and tool-calling capabilities (Pending Empirical Benchmark), Mistral Small 3.1 24B is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 128,000 tokens input capacity, engineering and legal teams process full regulatory filings, annual corporate disclosures, and technical documentation directly without context loss.

5.3 Programmatic Code Generation§

Development teams utilize Mistral Small 3.1 24B for automated code generation, pull request audits, unit test suite creation, and language migration (e.g. Python to Rust).


6. Token Economics & Pricing Breakdown§

Inference pricing per million tokens for Mistral Small 3.1 24B:

  • Input Token Cost: $0.35 per MTok
  • Output Token Cost: $0.56 per MTok
  • Prompt Caching Discounts: Supported on selected API providers (up to 50% savings on repeated prompt prefixes)
  • Batch Processing: Available for non-latency-sensitive bulk inference workloads

7. Comparative Specification Matrix§

Metric / Parameter**Mistral Small 3.1 24B**Provider Ecosystem Baseline
DeveloperMistralIndustry Average
Context Window128,000 tokens128,000 tokens
Input Price / MTok$0.35Variable
Output Price / MTok$0.56Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is Mistral Small 3.1 24B's context window limit?§

A: Mistral Small 3.1 24B supports an input context window of 128,000 tokens.

Q: What is the API pricing for Mistral Small 3.1 24B?§

A: Mistral Small 3.1 24B is priced at $0.35 per million input tokens and $0.56 per million output tokens.

Q: Is Mistral Small 3.1 24B accessible via API?§

A: Yes, Mistral Small 3.1 24B is available for programmatic integration.

Developer
Mistral✓ verified 1d ago
Release Date
March 17, 2025✓ verified 1d ago
Context Window
128,000 tokens171 words✓ verified 1d ago
API Access
Publicly AvailableIntegrate via official API✓ verified 1d ago
Input Cost
$0.35per million tokens✓ verified 1d ago
Output Cost
$0.56per million tokens✓ verified 1d ago
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Vetted Benchmarks

MMLU(estimated)Score: 75.2% (Top 84%)
HumanEval(estimated)Score: 71.4% (Top 85%)
MATH(estimated)Score: 44.6% (Top 79%)
MT-Bench(estimated)Score: 7.8 (Top 99%)
GPQA(estimated)Score: 28.6% (Top 98%)
HellaSwag(estimated)Score: 75.8% (Top 98%)

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Originally published on llmdb.app

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