Qwen3 VL 30B A3B Thinking vs Gemini 3.1 Flash Lite
Qwen3 VL 30B A3B Thinking
Gemini 3.1 Flash Lite
| Qwen3 VL 30B A3B Thinking | Gemini 3.1 Flash Lite | |
|---|---|---|
| Provider | Qwen | |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 131,072 | 1,048,576 |
| 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 β | 0.1300 | 0.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 1.5600 | 1.5000 |
Frequently asked questions
Which is cheaper, Qwen3 VL 30B A3B Thinking or Gemini 3.1 Flash Lite?
Qwen3 VL 30B A3B Thinking is cheaper than Gemini 3.1 Flash Lite on a 50/50 input/output blend by about $0.03 per 1M tokens. Exact savings depend on your input-vs-output ratio β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qwen3 VL 30B A3B Thinking or Gemini 3.1 Flash Lite?
Gemini 3.1 Flash Lite has the larger context window at 1M tokens versus 131k tokens for Qwen3 VL 30B A3B Thinking. That means Gemini 3.1 Flash Lite can ingest about 8.0x as much text per request.
What is the difference between Qwen3 VL 30B A3B Thinking and Gemini 3.1 Flash Lite?
Qwen3 VL 30B A3B Thinking comes from Qwen; Gemini 3.1 Flash Lite comes from Google. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.