Side-by-side comparison
Qwen2.5 VL 72B Instruct vs Nano Banana (Gemini 2.5 Flash Image)
Qwen
Qwen2.5 VL 72B Instruct
👁 Vision
{} JSON
Input / 1M
$0.2500
Output / 1M
$0.7500
Google
Nano Banana (Gemini 2.5 Flash Image)
👁 Vision
{} JSON
Input / 1M
$0.3000
Output / 1M
$2.5000
| Qwen2.5 VL 72B Instruct | Nano Banana (Gemini 2.5 Flash Image) | |
|---|---|---|
| Provider | Qwen | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,000 | 32,768 |
| 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 | 0.3000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.7500 | 2.5000 |
Frequently asked questions
Which is cheaper, Qwen2.5 VL 72B Instruct or Nano Banana (Gemini 2.5 Flash Image)?
Qwen2.5 VL 72B Instruct is cheaper than Nano Banana (Gemini 2.5 Flash Image) on a 50/50 input/output blend by about $0.9 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 Nano Banana (Gemini 2.5 Flash Image)?
Nano Banana (Gemini 2.5 Flash Image) has the larger context window at 33k tokens versus 32k tokens for Qwen2.5 VL 72B Instruct. That means Nano Banana (Gemini 2.5 Flash Image) can ingest about 1.0x as much text per request.
What is the difference between Qwen2.5 VL 72B Instruct and Nano Banana (Gemini 2.5 Flash Image)?
Qwen2.5 VL 72B Instruct comes from Qwen; Nano Banana (Gemini 2.5 Flash Image) comes from Google. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.