Meta: Llama 3.2 11B Vision Instruct

Public pricingIntelligence 77/100Medium memoryVisionTool use

Meta: Llama 3.2 11B Vision Instruct is a multimodal model for vision-language understanding. It combines multimodal input handling and image understanding with a 131K tokens context window and a low-cost profile. Use it for vision-language understanding and content analysis when quality, speed, and cost matters.

Input

$0.24/1M

Output

$0.24/1M

Cached

$0.01/1M

Batch

$0.03/1M

Calculate your Llama 3.2 11B Vision Instruct bill.

Set your workload — see cost at your exact volume.

What would Llama 3.2 11B Vision Instruct cost you?

Adjust the workload to see your monthly bill.

1,00010,00050,000250,0001M10M

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.

Still unsure?

Compare Llama 3.2 11B Vision Instruct against 100+ other models.

Open the full wizard — pick a use case, set your usage, and see side-by-side monthly costs in under a minute.

Open the comparison wizard