Side-by-side comparison
Llama 3.2 11B Vision Instruct vs Qwen3 VL 30B A3B Instruct
Meta
Llama 3.2 11B Vision Instruct
👁 Vision
{} JSON
Input / 1M
$0.2450
Output / 1M
$0.2450
Qwen
Qwen3 VL 30B A3B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1300
Output / 1M
$0.5200
| Llama 3.2 11B Vision Instruct | Qwen3 VL 30B A3B Instruct | |
|---|---|---|
| Provider | Meta | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.2450 | 0.1300 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.2450 | 0.5200 |
Frequently asked questions
Which is cheaper, Llama 3.2 11B Vision Instruct or Qwen3 VL 30B A3B Instruct?
Llama 3.2 11B Vision Instruct is cheaper than Qwen3 VL 30B A3B Instruct on a 50/50 input/output blend by about $0.08 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Llama 3.2 11B Vision Instruct and Qwen3 VL 30B A3B Instruct?
Llama 3.2 11B Vision Instruct comes from Meta; Qwen3 VL 30B A3B Instruct comes from Qwen. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.