Meta: Llama 3.1 8B Instruct

Public pricingIntelligence 65/100Small memoryOutils

Meta: Llama 3.1 8B Instruct est un modèle texte conçu pour conversation générale, analyse et usage en production. Il associe une faible latence et une inférence efficace, un contexte de 16K tokens et un profil à faible coût pour un travail fiable sur general chat, analysis, and production workloads.

Input

$0.02/1M

Output

$0.05/1M

Cached

$0.01/1M

Batch

$0.01/1M

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What would Llama 3.1 8B Instruct cost you?

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Technical specifications

Llama 3.1 8B Instruct at a glance.

Memory

16,384

tokens

Max reply

16,384

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

llama3

Released

Jul 2024

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • chatbot_arena_elo

    1175

  • gpqa_diamond

    30.4

  • humaneval

    72.6

  • ifeval

    80.4

  • math

    51.9

  • mmlu

    73

  • mmlu_pro

    48.3

  • scipredict

    14.65

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 3.1 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 3.1 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 3.1 8B Instruct costs roughly $4 per month. Input is $0.02 /1M tokens and output is $0.05 /1M tokens.
Llama 3.1 8B Instruct has a 16,384-token context window (small memory — a few emails or a short document). That means you can fit about 3,072 words of input and history in a single call.
Beyond text generation, Llama 3.1 8B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Llama 3.1 8B Instruct was released in July 2024, with training data cut off around December 2023.
Models in a similar class include Llama 3.2 1B Instruct, Llama 3 8B Instruct, Llama 3.2 3B Instruct. The "Similar models" section below this FAQ links into each.

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