Meta

LLaMA 3.2 90B

Estimated pricingMedium memoryVision

LLaMA 3.2 90B is Meta's medium-memory model with vision. This page shows current pricing, an interactive cost calculator, and a side-by-side with similar models.

Input

$0.60/1M tokens

Output

$1.80/1M tokens

Cached

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Batch

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Interactive

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What would LLaMA 3.2 90B cost you?

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Technical specifications

LLaMA 3.2 90B at a glance.

Memory

128,000

tokens

Max reply

8,192

tokens

Memory tier

Medium

a long report or a codebase file

Tokenizer

sentencepiece

Released

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Training cutoff

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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 3.2 90B

  • Screenshot analysis, image understanding, or document OCR.
  • High-volume workloads where unit cost matters.
  • Multimodal pipelines mixing text + images.

When to look elsewhere

  • You need tool-use / function calling for agent workflows.

Alternatives

Similar models to compare.

FAQ

LLaMA 3.2 90B — 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 3.2 90B costs roughly $117 per month. Input is $0.60 /1M tokens and output is $1.80 /1M tokens.
LLaMA 3.2 90B has a 128,000-token context window (medium memory — a long report or a codebase file). That means you can fit about 24,000 words of input and history in a single call.
Beyond text generation, LLaMA 3.2 90B supports understanding images. It streams replies by default.
Models in a similar class include LLaMA 4 Scout, LLaMA 4 Maverick, Gemini 2.0 Pro. 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.

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