Llama 3.2 11B Vision Instruct is Meta's mid-size multimodal model, released September 2024. With 11 billion parameters and a 131,072-token context window, it accepts images alongside text and produces text, enabling image analysis, visual question answering, and grounded reasoning over documents and graphics. The model interprets layouts, charts, diagrams, and visual content within conversational workflows, and supports tool calling so downstream applications can act on visual insights programmatically. It fits document processing workflows, accessible content description, visual search systems, and tasks requiring scene understanding. Its open-weight design permits fine-tuning for domain-specific vision tasks, and the moderate parameter count keeps multimodal inference tractable.
Llama 3.2 11B Vision Instruct runs on 1 route through the qynio gateway. Compare residency, zero retention, and training posture at a glance β full data-handling detail per route below.
| Provider | Region | Zero data retention | Training | Input | Output |
|---|---|---|---|---|---|
| US | Zero data retention | No | $0.24 | $0.24 |
Llama 3.2 11B Vision Instruct runs on a single route through the qynio gateway today, so its availability is that provider's availability.
Name a second model in the same request and the gateway tries it on retriable errors, so a busy hour never has to reach your users. .
Measured over the last 30 days from each provider's official status feed via StatusGator. Refreshed hourly. See uptime for every provider qynio monitors.
Each route hosting Llama 3.2 11B Vision Instruct has its own privacy posture, residency, and no-KYC terms. Postures are maintained by qynio with a last-verification timestamp.
Zero data retention is on by default on Pay-as-you-go β no action required. No training on customer data. US; unknown; deposit available.
Independent benchmark scores β composite indices for reasoning, coding, and math, plus individual eval scores where available.
Call Llama 3.2 11B Vision Instruct through the qynio gateway with one API key. Let your coding agent set it up, or call it directly β qynio is drop-in compatible with the OpenAI, Anthropic, and Google AI SDKs.
Copy this and paste it into a coding agent like Claude Code, Cursor or Codex and it'll wire up qynio for you.
import OpenAI from "openai";const client = new OpenAI({apiKey: process.env.QYN_API_KEY,baseURL: "https://api.qyn.io/v3/compat",});const completion = await client.chat.completions.create({model: "deepinfra/meta-llama/Llama-3.2-11B-Vision-Instruct",messages: [{ role: "user", content: "Hello" }],});console.log(completion.choices[0].message.content);
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