Meta: Llama 3.2 11B Vision Instruct

Public pricingIntelligence 77/100Medium memoryالرؤيةاستخدام الأدوات

Meta: Llama 3.2 11B Vision Instruct هو نموذج متعدد الوسائط مخصص لـفهم الرؤية واللغة. يجمع بين معالجة الإدخال متعدد الوسائط، فهم الصور وسياق بحجم 131K tokens وملف منخفض التكلفة لتقديم عمل موثوق في vision-language understanding and content analysis. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$0.24/1M

Output

$0.24/1M

Cached

$0.01/1M

Batch

$0.03/1M

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Technical specifications

Llama 3.2 11B Vision Instruct at a glance.

Memory

131,072

tokens

Max reply

16,384

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

llama3

Released

Sep 2024

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    73

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 Llama 3.2 11B Vision Instruct

  • Screenshot analysis, image understanding, or document OCR.
  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • Very latency-sensitive, real-time apps where every millisecond counts.

Alternatives

Similar models to compare.

FAQ

Llama 3.2 11B Vision Instruct — the questions we see most.

Pricing, capabilities, alternatives — 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, Llama 3.2 11B Vision Instruct costs roughly $28 per month. Input is $0.24 /1M tokens and output is $0.24 /1M tokens.
Llama 3.2 11B Vision Instruct has a 131,072-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,576 words of input and history in a single call.
Beyond text generation, Llama 3.2 11B Vision Instruct supports understanding images, calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Llama 3.2 11B Vision Instruct was released in September 2024, with training data cut off around December 2023.
Models in a similar class include Llama Guard 4 12B, Llama 4 Maverick, Llama 4 Scout. The "Similar models" section below this FAQ links into each.

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