Meta: Llama 3.2 11B Vision Instruct
Analysis Summary
Meta's Llama 3.2 11B Vision Instruct is a small multimodal model from the Llama 3.2 family, designed for image-and-text inference at low cost. Its intelligence and coding benchmarks are limited relative to the broader field, but vision support gives it a practical edge for basic image captioning, document parsing, and visual Q&A workflows.
For businesses, it fits best in lightweight, high-volume pipelines where cost matters more than depth of reasoning. It is not suited to complex analysis, autonomous agents, or production coding tasks. Instruction-following scores are modest, so outputs may need review for client-facing use.
At $0.345 per million tokens in and out, it is affordable for experimentation. Teams needing vision at low cost can use it as a first-pass filter, routing harder tasks to a more capable model.
Assessed June 17, 2026
Editorial notes
Llama 3.2 11B Vision Instruct from Meta is a compact vision-capable model suited to lightweight image-and-text tasks, with modest reasoning and coding capability at a low price point.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
Performance Profile
How Meta: Llama 3.2 11B Vision Instruct compares
Meta: Llama 3.2 11B Vision Instruct ranks #341 of 380 AI models we track for overall intelligence, #285 of 317 for coding, #275 of 292 for agentic tasks. Its 131K-token context window is larger than 59% of the models we list. At $0.35 per million input tokens it is cheaper than 40% of comparable models.
About Meta: Llama 3.2 11B Vision Instruct
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..
Capabilities
Architecture Detail
| Instruct Type | llama3 |
Performance Indices
Source: Artificial Analysis
Benchmark Scores
Intelligence
Technical
Content
Benchmark data from Artificial Analysis and Hugging Face
How does Meta: Llama 3.2 11B Vision Instruct stack up?
Compare side-by-side with other professional models.
Model Information
| OpenRouter ID |
meta-llama/llama-3.2-11b-vision-instruct
|
| Provider | meta-llama |
| Model Family | Llama 3 |
| Release Date | September 25, 2024 |
| Context Length | 131,072 tokens |
| Max Completion | 16,384 tokens |
| Status | Active |
Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.35 | $0.000345 |
| Output | $0.35 | $0.000345 |
Live Performance
Live endpoint metrics, refreshed every 30 minutes.
Leaderboard Categories
External Resources
Frequently asked questions about Meta: Llama 3.2 11B Vision Instruct
How much does Meta: Llama 3.2 11B Vision Instruct cost?
Meta: Llama 3.2 11B Vision Instruct costs $0.35 per million input tokens and $0.35 per million output tokens.
What is the context window of Meta: Llama 3.2 11B Vision Instruct?
Meta: Llama 3.2 11B Vision Instruct has a context window of 131,072 tokens (131K).
Is Meta: Llama 3.2 11B Vision Instruct good for coding?
On our coding benchmark index, Meta: Llama 3.2 11B Vision Instruct ranks #285 of 317 models, placing it in the broader range of the field for code generation and debugging.
What can Meta: Llama 3.2 11B Vision Instruct do?
Meta: Llama 3.2 11B Vision Instruct supports image/vision input.
Who created Meta: Llama 3.2 11B Vision Instruct?
Meta: Llama 3.2 11B Vision Instruct is developed by Meta and was released on September 25, 2024.
