Meta: Llama 3.2 11B Vision Instruct
Meta's Llama 3.2 11B Vision model brings multimodal capability at a very low price, but its benchmark scores are among the weakest in the current landscape, limiting its usefulness to simple vision-assisted tasks rather than substantive business applications.
Assessment date: April 4, 2026
Our methodology takes into account a range of factors including pricing, functionality, capabilities, benchmark performance, and real-world applicability. Rankings are reviewed and updated regularly as new models are released. Issues with our rankings? Contact us
Performance Profile
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
| Modality | Text + Image → Text |
| Tokenizer | Llama3 |
| Instruct Type | llama3 |
| Parameters | 11B |
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 efficient 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 | $0.25 | $0.000245 |
| Output | $0.25 | $0.000245 |
Live Performance
Live endpoint metrics — refreshed every 30 minutes.
