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: Qwen2.5 VL 32B Instruct
Meta: Llama 3.2 11B Vision Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen2.5-VL-32B is a multimodal vision-language model fine-tuned through reinforcement learning for enhanced mathematical reasoning, structured outputs, and visual problem-solving capabilities. It excels at visual analysis tasks, including o…
Model details →Side-by-side comparison
| Capability | Meta: Llama 3.2 11B Vision Instruct | Qwen: Qwen2.5 VL 32B Instruct | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 128K | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.05 | $0.20 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.05 | $0.60 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Meta: Llama 3.2 11B Vision Instruct better than Qwen: Qwen2.5 VL 32B Instruct?
Meta: Llama 3.2 11B Vision Instruct wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen2.5 VL 32B Instruct?
Input: $0.05 vs $0.20 per 1M tokens. Output: $0.05 vs $0.60 per 1M tokens.
What context windows do Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen2.5 VL 32B Instruct support?
Meta: Llama 3.2 11B Vision Instruct supports up to 131K tokens. Qwen: Qwen2.5 VL 32B Instruct supports up to 128K tokens.
Do both Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen2.5 VL 32B Instruct support tool calling?
Meta: Llama 3.2 11B Vision Instruct: not advertised. Qwen: Qwen2.5 VL 32B Instruct: not advertised.