by MetaReleased 25 September 2024
Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and...
Reads about 130 pages · writes up to 16 pages
Standard OpenAI fields, grouped by what they control. Anything not listed is accepted and ignored.
Shaping the reply
How long, how varied, where to stop.
max_tokenstemperaturetop_ptop_kmin_pstopseedfrequency_penaltypresence_penaltyrepetition_penaltylogit_biasStructured output
Get JSON you can parse instead of prose.
response_formatNo. Meta has retired it. Other Meta models are on sale.
The lab has not said.
Meta names no languages for Llama 3.2 11B Vision Instruct. Arabic, French and Darja: not stated.
It reads text and images. Up to 131K tokens in one request, about 130 pages. It writes up to 12 000 words at once.
Yes, its weights are public. Open weights on Hugging Face
Meta. Released 25 September 2024. It knows the world up to 31 December 2023.
Llama 3.1 8B Instruct is the small model of Meta's Llama 3.1 family, tuned to follow instructions and described as fast and efficient. You send text and get text back; it reads about 131 pages at once and can use tools or fill in an exact form you give it. Use it for sorting, short rewrites, simple chat and high-volume jobs.
Llama 3.3 70B Instruct is a text-only Meta model tuned for conversation in English, Spanish, French, German, Italian, Portuguese, Hindi and Thai. You send a chat, with tools or an exact form to fill in if you need them, and get a reply of up to about 16 pages from a conversation of up to 131 pages. Pick it for assistants and support in those languages.
Llama 4 Scout takes text and pictures and answers in text or code across 12 languages. It reads about 1,300 pages at once, enough to caption or question many images, or take in a very large document in one request. Meta tuned it for chat in many languages, captions and image understanding.
Llama 4 Maverick takes text and pictures and answers in text or code across 12 languages, keeping about a thousand pages of conversation in mind. Meta tuned it for reasoning about images and for assistant-style chat. Use it to answer questions about photos, charts and screenshots, or for multilingual assistants with long conversations.
From what its maker and two benchmark sites publish, and where it stands on OpenDunes. Read 7 Nov 2026.
Thinks first No.
Works through the problem before it answers.
Uses your tools No.
Can call functions your code provides.
Fills your JSON No.
Answers in the JSON shape you give it.
Searches the web No.
Can look things up online while it answers.
Cheaper on repeats No.
A prompt it saw a moment ago costs less the second time.
Open weights
The model's weights are public.
Knows events up to 31 Dec 2023
What it learned stops at this date.