Meta: Llama 3.2 3B Instruct

Public pricingIntelligence 65/100Medium memory도구 활용

Meta: Llama 3.2 3B Instruct은 추론과 문제 해결에 맞춘 텍스트 모델입니다. 깊은 추론과 계획, 80K tokens의 컨텍스트, 저비용 특성을 결합해 reasoning, analysis, and hard problem solving에서 안정적인 작업을 돕습니다. 특히 품질, 속도, 비용가 중요한 경우에 잘 맞으며, 안정적인 출력, 유연한 배포, 확장성을 중시하는 팀에 실용적입니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다. 안정적인 응답, 넓은 문맥 처리, 그리고 시제품부터 운영까지 이어지는 유연성이 필요할 때 유용합니다.

Input

$0.05/1M

Output

$0.34/1M

Cached

$0.01/1M

Batch

$0.01/1M

Calculate your Llama 3.2 3B Instruct bill.

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What would Llama 3.2 3B Instruct cost you?

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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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