Meta: Llama 3.2 3B Instruct

Public pricingIntelligence 65/100Medium memoryTool use

Meta: Llama 3.2 3B Instruct is a text model for reasoning and problem solving. It combines deep reasoning and planning with a 80K tokens context window and a low-cost profile. Use it for reasoning, analysis, and hard problem solving when quality, speed, and cost matters. It is a practical choice for teams that need reliable output, flexible deployment, and room to scale.

Input

$0.05/1M

Output

$0.34/1M

Cached

$0.01/1M

Batch

$0.01/1M

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Technical specifications

Llama 3.2 3B Instruct at a glance.

Memory

80,000

tokens

Max reply

4,096

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

    63.4

  • gpqa_diamond

    32.8

  • math

    48

  • ifeval

    77.4

  • bbh

    24.06

  • mmlu_pro

    24.39

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 3B Instruct

  • Agentic workflows that call tools or APIs.
  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.

Alternatives

Similar models to compare.

FAQ

Llama 3.2 3B 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 3B Instruct costs roughly $17 per month. Input is $0.05 /1M tokens and output is $0.34 /1M tokens.
Llama 3.2 3B Instruct has a 80,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 15,000 words of input and history in a single call.
Beyond text generation, Llama 3.2 3B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Llama 3.2 3B Instruct was released in September 2024, with training data cut off around December 2023.
Models in a similar class include Llama 3 8B Instruct, Llama 3.2 1B Instruct, Llama 4 Scout. The "Similar models" section below this FAQ links into each.

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