Meta

LLaMA 3 70B

Estimated pricingSmall memory

LLaMA 3 70B is Meta's small-memory model. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.

Input

$0.90/1M tokens

Output

$0.90/1M tokens

Cached

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Batch

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Interactive

Calculate your LLaMA 3 70B bill.

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What would LLaMA 3 70B cost you?

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1,00010,00050,000250,0001M10M

Technical specifications

LLaMA 3 70B at a glance.

Memory

8,192

tokens

Max reply

4,096

tokens

Memory tier

Small

a few emails or a short document

Tokenizer

sentencepiece

Released

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Training cutoff

—

Availability

Estimated

Status

active

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

  • High-volume workloads where unit cost matters.

When to look elsewhere

  • Your workload involves images — pick a vision-capable model instead.
  • You need tool-use / function calling for agent workflows.
  • Your inputs routinely exceed short documents.

Alternatives

Similar models to compare.

FAQ

LLaMA 3 70B — 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 costs roughly $104 per month. Input is $0.90 /1M tokens and output is $0.90 /1M tokens.
LLaMA 3 70B 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.
Models in a similar class include LLaMA 4 Maverick, LLaMA 3.2 90B, LLaMA 4 Scout. The "Similar models" section below this FAQ links into each.
Open-weight model — price from a common hosting provider (Together, Fireworks, Replicate). We source estimates from the cheapest public hosting provider for that model and note it on the page.

Still unsure?

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