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 visual question answering, bridging the gap between language generation and visual reasoning.
Input
Output
Context
131K
Max Output
16K
Parameters
11B
Technical Specifications
Model TypeVision
Context Window131K
Max Output Tokens16K
Parameters11B
Training Cutoff—
Licensellama3.2
Capabilities
Input Modalities
textimage
Output Modalities
text
Features
function_callingimage_understandingjson_modereasoningstreamingtext_generationvision
Benchmarks
#74
Rank (Vision)
+10/-10
arena vision ci 95
1014
Arena Score (Vision)
4,893
Votes (Vision)
Resources & Links
Estimated GPU Requirements for Llama 3.2 11B Vision Instruct
Estimates based on INT8 quantization. Actual requirements vary by framework and configuration.
Related Tools
Data sourced from official provider APIs and documentation
Last updated: May 5, 2026
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