Meta: Llama 3 70B Instruct

Public pricingIntelligence 79/100Small memoryटूल उपयोग

Meta: Llama 3 70B Instruct एक टेक्स्ट मॉडल है, जिसे सामान्य चैट, विश्लेषण और production use के लिए बनाया गया है। यह स्थिर general-purpose प्रदर्शन, 8K tokens का context और संतुलित लागत profile जोड़कर general chat, analysis, and production workloads में भरोसेमंद काम करता है। यह तब व्यावहारिक विकल्प है जब गुणवत्ता, गति और लागत महत्वपूर्ण हो, खासकर उन टीमों के लिए जिन्हें स्थिर output,

Input

$0.51/1M

Output

$0.74/1M

Cached

$0.10/1M

Batch

$0.20/1M

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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.

  • bbh

    50.19

  • humaneval

    81.7

  • ifeval

    80.99

  • mmlu

    82

  • 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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