Meta: Llama 3 8B Instruct

Public pricingIntelligence 71/100Small memoryاستخدام الأدوات

Meta: Llama 3 8B Instruct هو نموذج نصي مخصص لـالدردشة العامة والتحليل والاستخدام الإنتاجي. يجمع بين أداء عام ثابت وسياق بحجم 8K tokens وملف منخفض التكلفة لتقديم عمل موثوق في general chat, analysis, and production workloads. وهو خيار عملي عندما تكون الجودة والسرعة والتكلفة مهمة، خصوصًا للفرق التي تحتاج إلى مخرجات ثابتة ونشر مرن ومساحة للتوسع.

Input

$0.03/1M

Output

$0.04/1M

Cached

$0.01/1M

Batch

$0.01/1M

Calculate your Llama 3 8B Instruct bill.

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What would Llama 3 8B Instruct cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

Llama 3 8B Instruct at a glance.

Memory

8,192

tokens

Max reply

16,384

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

llama3

Released

Apr 2024

Training cutoff

Mar 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • bbh

    28.24

  • humaneval

    62.2

  • ifeval

    74.08

  • mmlu

    66.6

  • mmlu_pro

    29.6

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 8B 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.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

Llama 3 8B 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 8B Instruct costs roughly $4 per month. Input is $0.03 /1M tokens and output is $0.04 /1M tokens.
Llama 3 8B Instruct has a 8,192-token context window (small memory — a few emails or a short document). That means you can fit about 1,536 words of input and history in a single call.
Beyond text generation, Llama 3 8B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Llama 3 8B Instruct was released in April 2024, with training data cut off around March 2023.
Models in a similar class include Llama 3.2 1B 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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