Side-by-side comparison
o3 Mini High vs Qwen-Max
| o3 Mini High | Qwen-Max | |
|---|---|---|
| Provider | OpenAI | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 200,000 | 32,768 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 1.1000 | 1.0400 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 4.4000 | 4.1600 |
Frequently asked questions
Which is cheaper, o3 Mini High or Qwen-Max ?
Qwen-Max is cheaper than o3 Mini High on a 50/50 input/output blend by about $0.15 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, o3 Mini High or Qwen-Max ?
o3 Mini High has the larger context window at 200k tokens versus 33k tokens for Qwen-Max . That means o3 Mini High can ingest about 6.1x as much text per request.
What is the difference between o3 Mini High and Qwen-Max ?
o3 Mini High comes from OpenAI; Qwen-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.