Llama 3.2 11B Vision Instruct vs Qwen3 32B
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 Instruct and Qwen3 32B.
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...
Qwen3 32B
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Technical Specifications
| Specification | Llama 3.2 11B Vision Instruct | Qwen3 32B |
|---|---|---|
| Provider | Meta | Alibaba |
| Context Window | 131,072 tokens | 131,072 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | self hostable | self hostable |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2024-09-25 | 2025-04-28 |
API Pricing Comparison
Input Price per Million Tokens
Llama 3.2 11B Vision Instruct
$0.34
Qwen3 32B
$0.08
Output Price per Million Tokens
Llama 3.2 11B Vision Instruct
$0.34
Qwen3 32B
$0.28
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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 Instruct Quirks & Gotchas
No developer gotchas reported.
Qwen3 32B Quirks & Gotchas
No developer gotchas reported.