Meta: Llama 3.2 1B Instruct

Public pricingIntelligence 71/100Medium memoryUso de herramientas

Meta: Llama 3.2 1B Instruct es un modelo texto pensado para razonamiento y resolución de problemas. Combina razonamiento y planificación profundos y baja latencia e inferencia eficiente, un contexto de 60K tokens y un perfil bajo costo para trabajar con fiabilidad en reasoning, analysis, and hard problem solving.

Input

$0.03/1M

Output

$0.20/1M

Cached

$0.00/1M

Batch

$0.01/1M

Calculate your Llama 3.2 1B Instruct bill.

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What would Llama 3.2 1B Instruct cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Llama 3.2 1B Instruct at a glance.

Memory

60,000

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.

  • bbh

    8.74

  • ifeval

    59.5

  • math

    30.6

  • mmlu

    49.3

  • mmlu_pro

    7.58

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 1B 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 1B 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 1B Instruct costs roughly $10 per month. Input is $0.03 /1M tokens and output is $0.20 /1M tokens.
Llama 3.2 1B Instruct has a 60,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 11,250 words of input and history in a single call.
Beyond text generation, Llama 3.2 1B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Llama 3.2 1B 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 3.1 8B Instruct, Llama 3.2 3B Instruct. The "Similar models" section below this FAQ links into each.

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