Meta: Llama 3.2 11B Vision Instruct✓ Catalog verified
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 visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis. Its ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research. Click here for the original model card. Usage of this model is subject to Meta's Acceptable Use Policy.
Overview
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 visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis. Its ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research. Click here for the original model card. Usage of this model is subject to Meta's Acceptable Use Policy.
Access: available through the official Meta API. Context window: 131K.
Specifications
| API identifier | meta-llama/llama-3.2-11b-vision-instruct |
| Provider | Meta |
| Model type | Multimodal LLM |
| Context window | 131K catalog |
| Input modalities | text · image |
| Output modalities | text |
| Released | Sep 25, 2024 |
| Tokenizer | Llama3 |
| Instruction format | llama3 |
| Moderated | No |
| Architecture modality | text+image->text |
Pricing
Live pricing components for meta-llama/llama-3.2-11b-vision-instruct as published in the catalog.
| Pricing component | Raw unit price | Normalized | Unit |
|---|---|---|---|
| Prompt tokens | $4.9e-8 | $0.05 / 1M | Per input token |
| Completion tokens | $4.9e-8 | $0.05 / 1M | Per output token |
| Request fee | N/A | N/A | Per request |
| Image fee | N/A | N/A | Per image unit |
| Web search fee | N/A | N/A | Per search request |
Cost calculator
Estimate monthly spend from your own token volumes.
Estimated Total Cost
$0.03Calculated from current list pricing in the ModelsAtlas catalog.Capabilities
| Capability | Status | What it means |
|---|---|---|
| Visual Understanding | ✓ Supported | Image and document analysis support |
| Audio Processing | Not advertised | Speech and voice aligned flows |
| Tool Calling | Not advertised | Supports tools / function calling |
| Self-Hosting | ✓ Supported | Deploy outside managed APIs |
Capability signals
Directional signals derived from model metadata and capability tags — not official benchmark submissions.
Quick start
Call Meta: Llama 3.2 11B Vision Instruct through an OpenAI-compatible client.
from openai import OpenAI
client = OpenAI(
base_url="https://openrouter.ai/api/v1",
api_key="YOUR_API_KEY"
)
response = client.chat.completions.create(
model="meta-llama/llama-3.2-11b-vision-instruct",
messages=[{"role": "user", "content": "Explain quantum physics."}]
)
print(response.choices[0].message.content)Alternatives
Closest models by context window from a different provider.
| Model | Provider | Context | Input /1M | Actions |
|---|---|---|---|---|
| AionLabs: Aion-1.0 | Aion Labs | 131K | $4.00 | View → |
| AionLabs: Aion-1.0-Mini | Aion Labs | 131K | $0.70 | View → |
Sources & attribution
Pricing and metadata are maintained in the ModelsAtlas catalog.
Frequently asked questions
How much does Meta: Llama 3.2 11B Vision Instruct cost?
$0.05 per 1M input tokens and $0.05 per 1M output tokens on the official Meta API.
What is the context window of Meta: Llama 3.2 11B Vision Instruct?
Meta: Llama 3.2 11B Vision Instruct supports up to 131K tokens of context.
Does Meta: Llama 3.2 11B Vision Instruct support tool / function calling?
Meta: Llama 3.2 11B Vision Instruct does not advertise first-class tool/function calling. Check vendor docs for the latest capabilities.
How do I access Meta: Llama 3.2 11B Vision Instruct?
Use the official Meta API with the model id `meta-llama/llama-3.2-11b-vision-instruct`. See the Quick start section above for code examples.