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 …
Model details →Meta: Llama 3.2 11B Vision Instruct vs Qwen: Qwen3 VL 235B A22B Thinking
Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen3 VL 235B A22B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust…
Model details →Side-by-side comparison
| Capability | Meta: Llama 3.2 11B Vision Instruct | Qwen: Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.26 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.05 | $2.60 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen3 VL 235B A22B Thinking |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | Yes | 🏆 Qwen: Qwen3 VL 235B A22B Thinking |
Frequently asked questions
Is Meta: Llama 3.2 11B Vision Instruct better than Qwen: Qwen3 VL 235B A22B Thinking?
Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen3 VL 235B A22B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen3 VL 235B A22B Thinking?
Input: $0.05 vs $0.26 per 1M tokens. Output: $0.05 vs $2.60 per 1M tokens.
What context windows do Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen3 VL 235B A22B Thinking support?
Meta: Llama 3.2 11B Vision Instruct supports up to 131K tokens. Qwen: Qwen3 VL 235B A22B Thinking supports up to 131K tokens.
Do both Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen3 VL 235B A22B Thinking support tool calling?
Meta: Llama 3.2 11B Vision Instruct: not advertised. Qwen: Qwen3 VL 235B A22B Thinking: yes.