Side-by-side comparison
Nano Banana (Gemini 2.5 Flash Image) vs Qwen2.5 VL 72B Instruct
Google
Nano Banana (Gemini 2.5 Flash Image)
👁 Vision
{} JSON
Input / 1M
$0.3000
Output / 1M
$2.5000
Qwen
Qwen2.5 VL 72B Instruct
👁 Vision
{} JSON
Input / 1M
$0.2500
Output / 1M
$0.7500
| Nano Banana (Gemini 2.5 Flash Image) | Qwen2.5 VL 72B Instruct | |
|---|---|---|
| Provider | Qwen | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 32,000 |
| 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 → | 0.3000 | 0.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 0.7500 |
Frequently asked questions
Which is cheaper, Nano Banana (Gemini 2.5 Flash Image) or Qwen2.5 VL 72B Instruct?
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, Nano Banana (Gemini 2.5 Flash Image) or Qwen2.5 VL 72B Instruct?
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 Nano Banana (Gemini 2.5 Flash Image) and Qwen2.5 VL 72B Instruct?
Nano Banana (Gemini 2.5 Flash Image) comes from Google; Qwen2.5 VL 72B 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.