Meta: Llama 3.2 90B Vision Instruct
Llama 3.2 90B Vision Instruct is a language model from Meta released on Sep 25, 2024. It reads text and images and writes text, with a 16K token context window and up to 4K tokens per reply.
Show moreShow less
It costs $0.35 per million input tokens and $0.40 per million output tokens. Cached input bills at $0.175, 50% less than fresh input.
It supports tool calling and prompt caching, and its weights are open, so you can host it yourself.
- Modalities
- In / out price
- $0.35 / $0.40 per 1M
- Context
- 16K
- Max output
- 4K
- Released
- Sep 25, 2024
- Knowledge cutoff
- Dec 2023
- Tool calling
- Structured output
- Reasoning
- Prompt caching
- Open weights
- Free to use
Llama 3.2 90B Vision Instruct pricing
USD, as listed on Oct 15, 2026. Most bills are input heavy, so the cached input rate matters as much as the headline price.
| Input | $0.35 / 1M tokens | |
|---|---|---|
| Output | $0.40 / 1M tokens | |
| Cached input (read) | $0.175 / 1M tokens | 50% off input |
| Cache write | $0.70 / 1M tokens |
What Llama 3.2 90B Vision Instruct costs per month
Pick a workload close to yours or type your own volumes.
Supported request parameters
What you can set when you call Llama 3.2 90B Vision Instruct through an OpenAI compatible API.
- Tools
tools - Temperature
temperature
Alternatives to Llama 3.2 90B Vision Instruct
Models that take the same inputs and call tools, closest in price, cheaper ones first.
- Index 39.5
Reads text and images. Tool calling, structured output, reasoning. Served by 55 providers.
by deepseekSep 10, 20261M context$0.15/M input tokens$0.60/M output tokens55 providers
- Index 11.3
Reads text and images. Tool calling, structured output, reasoning. Served by 15 providers.
by mistralaiMar 16, 2026262K context$0.15/M input tokens$0.60/M output tokens15 providers
- Index 41.8
Reads text, images, files and video. Tool calling, structured output, reasoning. Served by 65 providers.
by z-aiAug 21, 20261M context$0.15/M input tokens$0.50/M output tokens65 providers
- 1.05M context
Reads text and images. Tool calling, structured output, reasoning.
by z-aiJul 29, 2026$0.20/M input tokens$0.80/M output tokens
- 131K context
Reads text and images. Tool calling, reasoning. Served by 2 providers.
by qwenApr 1, 2025$0.20/M input tokens$0.80/M output tokens2 providers
- 131K context
Reads text and images. Tool calling, structured output. Served by 5 providers.
by meta-llamaApr 5, 2025$0.20/M input tokens$0.78/M output tokens5 providers
More from Meta
- 164K context
Reads text and images.
by meta-llamaApr 30, 2025$0.18/M input tokens$0.18/M output tokens
- 131K context
Reads text and images. Tool calling, structured output. Served by 5 providers.
by meta-llamaApr 5, 2025$0.20/M input tokens$0.78/M output tokens5 providers
- Index 10
Reads text and images. Tool calling, structured output. Served by 7 providers.
by meta-llamaJan 15, 20251.05M context$0.25/M input tokens$1/M output tokens7 providers
- Index 8.1
Reads text and images. Tool calling, structured output. Served by 4 providers.
by meta-llamaJan 1, 2025328K context$0.085/M input tokens$0.46/M output tokens4 providers
- 128K context
Reads text. Tool calling, structured output. Served by 3 providers.
by meta-llamaDec 6, 2024$1.35/M input tokens$1.35/M output tokens3 providers
- 24K context
Reads text. Tool calling, structured output. Served by 34 providers.
by meta-llamaDec 1, 2024$0.71/M input tokens$0.71/M output tokens34 providers
Llama 3.2 90B Vision Instruct questions
How much does the Llama 3.2 90B Vision Instruct API cost?
$0.35 per million input tokens and $0.40 per million output tokens, with cached input at $0.175. The estimator on this page turns that into a monthly bill for your own workload.
What is the context window of Llama 3.2 90B Vision Instruct?
16,000 tokens of input, and it can write up to 4,096 tokens in one reply. As a rough guide, a million tokens is around 750,000 English words.
Does Llama 3.2 90B Vision Instruct support tool calling?
Yes. It accepts tool definitions, which is what an agent needs to call your APIs.
Is Llama 3.2 90B Vision Instruct open source?
Its weights are published, so you can run it on your own hardware or a cloud of your choice. Read the license before commercial use.
When was Llama 3.2 90B Vision Instruct released?
Sep 25, 2024, with training data up to Dec 2023.
Catalog data from models.dev (MIT licensed), refreshed daily, last on Oct 15, 2026. The summary is written from these facts.
Building on Llama 3.2 90B Vision Instruct?
I test your real tasks on it and the two closest alternatives, then ship the agent on whichever wins on cost and accuracy.
Book Meeting