Meta: Llama 3 70B Instruct

Public pricingIntelligence 79/100Small memoryツール利用

Meta: Llama 3 70B Instruct は テキスト モデルで、汎用チャット、分析、業務利用 に向いています。安定した汎用性能、8K tokensのコンテキスト、バランス型コストの特性を組み合わせ、general chat, analysis, and production workloads で安定した動作を支えます。品質・速度・コスト が重要な場面に合っており、安定した出力、柔軟な導入、拡張性を求めるチームに実用的です。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。 安定した応答、長い文脈処理、そして試作から本番まで広く使える柔軟さが必要な場面で役立ちます。

Input

$0.51/1M

Output

$0.74/1M

Cached

$0.10/1M

Batch

$0.20/1M

Calculate your Llama 3 70B Instruct bill.

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What would Llama 3 70B Instruct cost you?

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Technical specifications

Llama 3 70B Instruct at a glance.

Memory

8,192

tokens

Max reply

8,000

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

llama3

Released

Apr 2024

Training cutoff

Dec 2023

Availability

Public pricing

Status

active

Benchmarks

Quality benchmarks

Independent evaluations from public leaderboards. Higher is better.

  • mmlu

    82

  • humaneval

    81.7

  • ifeval

    80.99

  • bbh

    50.19

  • mmlu_pro

    46.74

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 70B 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 70B 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 70B Instruct costs roughly $68 per month. Input is $0.51 /1M tokens and output is $0.74 /1M tokens.
Llama 3 70B 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 70B Instruct supports calling functions / tools, strict JSON output, fine-tuning on your own data. It streams replies by default.
Llama 3 70B Instruct was released in April 2024, with training data cut off around December 2023.
Models in a similar class include Llama Guard 3 8B, Llama 3.1 70B Instruct, Llama 3.2 11B Vision Instruct. The "Similar models" section below this FAQ links into each.

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