Llama 3.2 11B Vision vs Llama 3.2 11B Vision Instruct
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Llama 3.2 11B Vision and Llama 3.2 11B Vision Instruct.
Llama 3.2 11B Vision
Meta's lightweight open weights vision model, optimized for mobile devices and local deployments. Capable of visual understanding, chart reading, and fast text generation.
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...
Technical Specifications
| Specification | Llama 3.2 11B Vision | Llama 3.2 11B Vision Instruct |
|---|---|---|
| Provider | Meta | Meta |
| Context Window | 131,072 tokens | 131,072 tokens |
| Agent Suitability | 72/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2024-09-25 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 11B Vision
$0.34
Llama 3.2 11B Vision Instruct
$0.34
Output Price per Million Tokens
Llama 3.2 11B Vision
$0.34
Llama 3.2 11B Vision Instruct
$0.34
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Llama 3.2 11B Vision Quirks & Gotchas
- ▸Lightweight vision model for edge/on-device deployments
- ▸Limited tool calling — use Llama 4 for production agentic tasks
Llama 3.2 11B Vision Instruct Quirks & Gotchas
No developer gotchas reported.