Side-by-side comparison
Nano Banana (Gemini 2.5 Flash Image) vs Qwen VL Max
Google
Nano Banana (Gemini 2.5 Flash Image)
👁 Vision
{} JSON
Input / 1M
$0.3000
Output / 1M
$2.5000
| Nano Banana (Gemini 2.5 Flash Image) | Qwen VL Max | |
|---|---|---|
| Provider | Qwen | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 32,768 | 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 → | 0.3000 | 0.5200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 2.0800 |
Frequently asked questions
Which is cheaper, Nano Banana (Gemini 2.5 Flash Image) or Qwen VL Max?
Qwen VL Max is cheaper than Nano Banana (Gemini 2.5 Flash Image) on a 50/50 input/output blend by about $0.1 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 Qwen VL Max?
Qwen VL Max has the larger context window at 131k tokens versus 33k tokens for Nano Banana (Gemini 2.5 Flash Image). That means Qwen VL Max can ingest about 4.0x as much text per request.
What is the difference between Nano Banana (Gemini 2.5 Flash Image) and Qwen VL Max?
Nano Banana (Gemini 2.5 Flash Image) comes from Google; Qwen VL Max 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.