Side-by-side comparison
Gemini 2.5 Flash Lite vs Qwen3 VL 32B Instruct
Google
Gemini 2.5 Flash Lite
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1000
Output / 1M
$0.4000
Qwen
Qwen3 VL 32B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.1040
Output / 1M
$0.4160
| Gemini 2.5 Flash Lite | Qwen3 VL 32B Instruct | |
|---|---|---|
| Provider | Qwen | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,048,576 | 131,072 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.1000 | 0.1040 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.4000 | 0.4160 |
Frequently asked questions
Which is cheaper, Gemini 2.5 Flash Lite or Qwen3 VL 32B Instruct?
Gemini 2.5 Flash Lite is cheaper than Qwen3 VL 32B Instruct on a 50/50 input/output blend by about $0.01 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, Gemini 2.5 Flash Lite or Qwen3 VL 32B Instruct?
Gemini 2.5 Flash Lite has the larger context window at 1M tokens versus 131k tokens for Qwen3 VL 32B Instruct. That means Gemini 2.5 Flash Lite can ingest about 8.0x as much text per request.
What is the difference between Gemini 2.5 Flash Lite and Qwen3 VL 32B Instruct?
Gemini 2.5 Flash Lite comes from Google; Qwen3 VL 32B 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.