Side-by-side comparison
Qwen VL Max vs GPT-5 Mini
| Qwen VL Max | GPT-5 Mini | |
|---|---|---|
| Provider | Qwen | OpenAI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 131,072 | 400,000 |
| 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 → | 0.5200 | 0.2500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.0800 | 2.0000 |
Frequently asked questions
Which is cheaper, Qwen VL Max or GPT-5 Mini?
GPT-5 Mini is cheaper than Qwen VL Max on a 50/50 input/output blend by about $0.175 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, Qwen VL Max or GPT-5 Mini?
GPT-5 Mini has the larger context window at 400k tokens versus 131k tokens for Qwen VL Max. That means GPT-5 Mini can ingest about 3.1x as much text per request.
What is the difference between Qwen VL Max and GPT-5 Mini?
Qwen VL Max comes from Qwen; GPT-5 Mini comes from OpenAI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.