Llama 3.2 11B Vision vs o1-pro
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 o1-pro.
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.
o1-pro
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
Technical Specifications
| Specification | Llama 3.2 11B Vision | o1-pro |
|---|---|---|
| Provider | Meta | OpenAI |
| Context Window | 131,072 tokens | 200,000 tokens |
| Agent Suitability | 72/100 | N/A |
| Time to First Token (TTFT) | 150 ms | N/A |
| Deployment Model | self hostable | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2025-03-19 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 11B Vision
$0.34
o1-pro
$150.00
Output Price per Million Tokens
Llama 3.2 11B Vision
$0.34
o1-pro
$600.00
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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
o1-pro Quirks & Gotchas
No developer gotchas reported.