Mistral: Voxtral Small 24B 2507

Public pricingIntelligence 79/100Medium memory도ꡬ ν™œμš©

Mistral: Voxtral Small 24B 2507은 λΉ„μ „-μ–Έμ–΄ 이해에 맞좘 μ˜€λ””μ˜€ λͺ¨λΈμž…λ‹ˆλ‹€. λ©€ν‹°λͺ¨λ‹¬ μž…λ ₯ μ²˜λ¦¬γ€μ˜€λ””μ˜€ 처리, 32K tokens의 μ»¨ν…μŠ€νŠΈ, μ €λΉ„μš© νŠΉμ„±μ„ κ²°ν•©ν•΄ audio understanding and multimodal inputμ—μ„œ μ•ˆμ •μ μΈ μž‘μ—…μ„ λ•μŠ΅λ‹ˆλ‹€. 특히 μ§€μ—°, λΉ„μš©, μ²˜λ¦¬λŸ‰κ°€ μ€‘μš”ν•œ κ²½μš°μ— 잘 맞으며, μ•ˆμ •μ μΈ 좜λ ₯, μœ μ—°ν•œ 배포, ν™•μž₯성을 μ€‘μ‹œν•˜λŠ” νŒ€μ— μ‹€μš©μ μž…λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€. μ•ˆμ •μ μΈ 응닡, 넓은 λ¬Έλ§₯ 처리, 그리고 μ‹œμ œν’ˆλΆ€ν„° μš΄μ˜κΉŒμ§€ μ΄μ–΄μ§€λŠ” μœ μ—°μ„±μ΄ ν•„μš”ν•  λ•Œ μœ μš©ν•©λ‹ˆλ‹€.

Input

$0.10/1M

Output

$0.30/1M

Cached

$0.01/1M

Batch

$0.05/1M

Calculate your Voxtral Small 24B 2507 bill.

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What would Voxtral Small 24B 2507 cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Voxtral Small 24B 2507 at a glance.

Memory

32,000

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

mistral

Released

Jul 2025

Training cutoff

Mar 2025

Availability

Public pricing

Status

active

What it can do

Capabilities & limits.

  • Understands images
  • Deep step-by-step thinking
  • Uses tools / calls functions
  • Strict JSON output
  • Streams replies
  • Fine-tunable on your data

When to pick Voxtral Small 24B 2507

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Your workload involves images β€” pick a vision-capable model instead.

FAQ

Voxtral Small 24B 2507 β€” the questions we see most.

Pricing, capabilities, alternatives β€” generated from the same data that powers the calculator above.

Get instant answers from our AI agent

At a typical workload of 50,000 conversations a month with 1,500-token prompts and 800-token replies, Voxtral Small 24B 2507 costs roughly $20 per month. Input is $0.10 /1M tokens and output is $0.30 /1M tokens.
Voxtral Small 24B 2507 has a 32,000-token context window (medium memory β€” a long report or a codebase file). That means you can fit about 6,000 words of input and history in a single call.
Beyond text generation, Voxtral Small 24B 2507 supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Voxtral Small 24B 2507 was released in July 2025, with training data cut off around March 2025.
Models in a similar class include Ministral 3 3B 2512, Mistral Small 3.2 24B, Ministral 3 8B 2512. The "Similar models" section below this FAQ links into each.

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