Side-by-side comparison
Qwen2.5 VL 72B Instruct vs Llama 3.2 11B Vision Instruct
Qwen
Qwen2.5 VL 72B Instruct
👁 Vision
{} JSON
Input / 1M
$0.2500
Output / 1M
$0.7500
Meta
Llama 3.2 11B Vision Instruct
👁 Vision
{} JSON
Input / 1M
$0.2450
Output / 1M
$0.2450
| Qwen2.5 VL 72B Instruct | Llama 3.2 11B Vision Instruct | |
|---|---|---|
| Provider | Qwen | Meta |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,000 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, json_mode | vision, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.2500 | 0.2450 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.7500 | 0.2450 |
Frequently asked questions
Which is cheaper, Qwen2.5 VL 72B Instruct or Llama 3.2 11B Vision Instruct?
Llama 3.2 11B Vision Instruct is cheaper than Qwen2.5 VL 72B Instruct on a 50/50 input/output blend by about $0.255 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qwen2.5 VL 72B Instruct or Llama 3.2 11B Vision Instruct?
Llama 3.2 11B Vision Instruct has the larger context window at 131k tokens versus 32k tokens for Qwen2.5 VL 72B Instruct. That means Llama 3.2 11B Vision Instruct can ingest about 4.1x as much text per request.
What is the difference between Qwen2.5 VL 72B Instruct and Llama 3.2 11B Vision Instruct?
Qwen2.5 VL 72B Instruct comes from Qwen; Llama 3.2 11B Vision Instruct comes from Meta. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.