Llama 3.2 11B Vision Instruct

llama-3.2-11b-vision-instruct
byMeta Llama|Created Aug 12, 2025
Chat Completions

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed for tasks combining visual and textual data. It excels at 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 is ideal for content creation, AI-driven customer service, and research.

Pricing

Pay-as-you-go rates for this model. More details can be found here.

Input Tokens (1M)

$0.10

Output Tokens (1M)

$0.10

Capabilities

Input Modalities

Text
Image

Output Modalities

Text

Supported Parameters

Available parameters for API requests

Frequency Penalty
Logit Bias
Logprobs
Max Completion Tokens
Presence Penalty
Response Format
Stop
Temperature
Tool Choice
Tools
Top P

Usage Analytics

Token usage across the last 30 active days

Uptime

Reliability over the last 7 days

Not enough performance data to display charts

Code Example

Example code for using this model through our API with Python (OpenAI SDK) or cURL. Replace placeholders with your API key and model ID.

Basic request example. Ensure API key permissions. For more details, see our documentation.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.naga.ac/v1",
    api_key="YOUR_API_KEY",
)

resp = client.chat.completions.create(
    model="llama-3.2-11b-vision-instruct",
    messages=[
        {{"role": "user", "content": "What's 2+2?"}}
    ],
    temperature=0.2,
)
print(resp.choices[0].message.content)