Meta: Llama 3.2 1B Instruct

Public pricingIntelligence 71/100Medium memoryटूल उपयोग

Meta: Llama 3.2 1B Instruct एक टेक्स्ट मॉडल है, जिसे तर्क और समस्या समाधान के लिए बनाया गया है। यह गहरी तर्कशक्ति और योजना، कम latency और efficient inference, 60K tokens का context और कम लागत profile जोड़कर reasoning, analysis, and hard problem solving में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब latency, cost और throughput महत्वपूर्ण हो,

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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