meta/llama-3.2-90b-vision-instructOpen WeightsLarge open multimodal Llama model for image reasoning, document QA, and captioning
TECHNICAL SPECIFICATIONS
MODEL CONTEXT PROTOCOL (MCP) READINESS
✓ Llama-3.2-90B-Vision-Instruct natively supports OpenAI / Anthropic format tool calling and is fully compatible with MCP servers and agent loops.
MCP Context Window Recommendations
With a context capacity of 128,000 tokens, this model can handle moderately large MCP tool definitions and multi-turn conversation logs comfortably.
API CALL INVOCATION EXAMPLE
// Example: Calling Llama-3.2-90B-Vision-Instruct via OpenAI SDK
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.META_API_KEY,
});
const response = await client.chat.completions.create({
model: "meta/llama-3.2-90b-vision-instruct",
messages: [{ role: "user", content: "Hello! Can you inspect MCP tools?" }],
});
console.log(response.choices[0].message.content);PRICING BY PROVIDER
Rates in USD per 1M tokens. Rates synchronized from models.dev public catalog.
MODEL RESOURCES
More Models by Meta
Alternative and family models from the same lab
Open Llama with long-context vision for efficient multimodal agents
Muse Wonder is a frontier multimodal reasoning model from Meta for personal and professional agents, long-horizon coding, and computer use. It combines Active Memory, which carries relevant context across conversations, with Active Focus, which keeps it working through blockers toward a goal.
Muse Spark 1.3 is a multimodal reasoning model from Meta for long-running agentic, multi-agent, and coding workflows. It improves long-horizon agent collaboration, instruction following, and coding efficiency relative to Muse Spark 1.2.