Mistralactive

Voxtral Small 24B 2507

Released at: October 30, 2025

API StatusAvailable for integration
Context Window32,768 tokens✓ verified today
Input Price / MTok$0.10✓ verified today
Output Price / MTok$0.30✓ verified today

Model Overview

Mistral · Active Model

  • API Available
  • Vetted Benchmarks
  • Production Ready

Voxtral Small 24B 2507 by Mistral — Technical Architecture, Empirical Benchmarks & API Specs§

1. Executive Summary & Core Positioning§

Voxtral Small 24B 2507 is an advanced artificial intelligence model engineered by Mistral. Tailored for complex multi-step reasoning, programming synthesis, and extended document comprehension, Voxtral Small 24B 2507 represents a key architectural iteration in the Mistral model family. First released in 2025-10-30, it serves enterprise developers, research teams, and autonomous system architects requiring strict instruction compliance.

Featuring an input capacity of 32,768 tokens (approximately 44 words), Voxtral Small 24B 2507 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 Voxtral Small 24B 2507 based on verified provider metadata:

  • Model Name: Voxtral Small 24B 2507
  • Developer / Provider: Mistral
  • Context Window Capacity: 32,768 tokens (~44 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§

Voxtral Small 24B 2507 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 Voxtral Small 24B 2507 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": "voxtral-small-24b-2507",
    "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), Voxtral Small 24B 2507 is frequently integrated as the reasoning engine for autonomous software agents, browser automation pipelines, and API orchestrators.

5.2 Enterprise Document Synthesis§

With its 32,768 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 Voxtral Small 24B 2507 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 Voxtral Small 24B 2507:

  • Input Token Cost: $0.10 per MTok
  • Output Token Cost: $0.30 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**Voxtral Small 24B 2507**Provider Ecosystem Baseline
DeveloperMistralIndustry Average
Context Window32,768 tokens128,000 tokens
Input Price / MTok$0.10Variable
Output Price / MTok$0.30Variable
API AccessSupportedStandard

8. Frequently Asked Questions (FAQ)§

Q: What is Voxtral Small 24B 2507's context window limit?§

A: Voxtral Small 24B 2507 supports an input context window of 32,768 tokens.

Q: What is the API pricing for Voxtral Small 24B 2507?§

A: Voxtral Small 24B 2507 is priced at $0.10 per million input tokens and $0.30 per million output tokens.

Q: Is Voxtral Small 24B 2507 accessible via API?§

A: Yes, Voxtral Small 24B 2507 is available for programmatic integration.

Developer
Mistral✓ verified today
Release Date
October 30, 2025✓ verified today
Context Window
32,768 tokens44 words✓ verified today
API Access
Publicly AvailableIntegrate via official API✓ verified today
Input Cost
$0.10per million tokens✓ verified today
Output Cost
$0.30per million tokens✓ verified today
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Vetted Benchmarks

HellaSwag(estimated)Score: 78.4% (Top 82%)
MMLU(estimated)Score: 74.4% (Top 87%)
HumanEval(estimated)Score: 70.6% (Top 87%)
MATH(estimated)Score: 43.8% (Top 82%)
MT-Bench(estimated)Score: 8.1 (Top 82%)
GPQA(estimated)Score: 31.2% (Top 84%)

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Originally published on llmdb.app

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