Side-by-side comparison
o3 Mini High vs Qwen3 Max Thinking
Qwen
Qwen3 Max Thinking
🔧 Tools
{} JSON
Input / 1M
$0.7800
Output / 1M
$3.9000
| o3 Mini High | Qwen3 Max Thinking | |
|---|---|---|
| Provider | OpenAI | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 200,000 | 262,144 |
| 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 | 0.7800 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 4.4000 | 3.9000 |
Frequently asked questions
Which is cheaper, o3 Mini High or Qwen3 Max Thinking?
Qwen3 Max Thinking is cheaper than o3 Mini High on a 50/50 input/output blend by about $0.41 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 Qwen3 Max Thinking?
Qwen3 Max Thinking has the larger context window at 262k tokens versus 200k tokens for o3 Mini High. That means Qwen3 Max Thinking can ingest about 1.3x as much text per request.
What is the difference between o3 Mini High and Qwen3 Max Thinking?
o3 Mini High comes from OpenAI; Qwen3 Max Thinking 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.