Side-by-side comparison
o4 Mini High vs Qwen3.6 27B
OpenAI
o4 Mini High
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$1.1000
Output / 1M
$4.4000
| o4 Mini High | Qwen3.6 27B | |
|---|---|---|
| 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). | vision, tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 1.1000 | 0.3200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 4.4000 | 3.2000 |
Frequently asked questions
Which is cheaper, o4 Mini High or Qwen3.6 27B?
Qwen3.6 27B is cheaper than o4 Mini High on a 50/50 input/output blend by about $0.99 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, o4 Mini High or Qwen3.6 27B?
Qwen3.6 27B has the larger context window at 262k tokens versus 200k tokens for o4 Mini High. That means Qwen3.6 27B can ingest about 1.3x as much text per request.
What is the difference between o4 Mini High and Qwen3.6 27B?
o4 Mini High comes from OpenAI; Qwen3.6 27B 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.