Llama 3.2 11B Vision vs Qwen3.5-Flash
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 Qwen3.5-Flash.
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.
Qwen3.5-Flash
The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Technical Specifications
| Specification | Llama 3.2 11B Vision | Qwen3.5-Flash |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 131,072 tokens | 1,000,000 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 | beta |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2026-02-25 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 11B Vision
$0.34
Qwen3.5-Flash
$0.07
Output Price per Million Tokens
Llama 3.2 11B Vision
$0.34
Qwen3.5-Flash
$0.26
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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
Qwen3.5-Flash Quirks & Gotchas
No developer gotchas reported.