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 30B A3B Instruct
Meta: Llama 3.2 11B Vision Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-VL-30B-A3B-Instruct is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Instruct variant optimizes instruction-following for general multimodal tasks. It excels in perception …
Model details →Side-by-side comparison
| Capability | Meta: Llama 3.2 11B Vision Instruct | Qwen: Qwen3 VL 30B A3B Instruct | 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 | $0.13 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.05 | $0.52 | 🏆 Meta: Llama 3.2 11B Vision Instruct |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 Qwen: Qwen3 VL 30B A3B Instruct |
| 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: Qwen3 VL 30B A3B Instruct?
Meta: Llama 3.2 11B Vision Instruct wins on 2 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: Qwen3 VL 30B A3B Instruct?
Input: $0.05 vs $0.13 per 1M tokens. Output: $0.05 vs $0.52 per 1M tokens.
What context windows do Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen3 VL 30B A3B Instruct support?
Meta: Llama 3.2 11B Vision Instruct supports up to 131K tokens. Qwen: Qwen3 VL 30B A3B Instruct supports up to 131K tokens.
Do both Meta: Llama 3.2 11B Vision Instruct and Qwen: Qwen3 VL 30B A3B Instruct support tool calling?
Meta: Llama 3.2 11B Vision Instruct: not advertised. Qwen: Qwen3 VL 30B A3B Instruct: yes.