Side-by-side comparison
Qwen Plus 0728 (thinking) vs Trinity Large Thinking
Qwen
Qwen Plus 0728 (thinking)
🔧 Tools
{} JSON
Input / 1M
$0.2600
Output / 1M
$0.7800
Arcee AI
Trinity Large Thinking
🔧 Tools
{} JSON
Input / 1M
$0.2200
Output / 1M
$0.8500
| Qwen Plus 0728 (thinking) | Trinity Large Thinking | |
|---|---|---|
| Provider | Qwen | Arcee AI |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,000,000 | 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 → | 0.2600 | 0.2200 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.7800 | 0.8500 |
Frequently asked questions
Which is cheaper, Qwen Plus 0728 (thinking) or Trinity Large Thinking?
Qwen Plus 0728 (thinking) is cheaper than Trinity Large Thinking on a 50/50 input/output blend by about $0.015 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 Plus 0728 (thinking) or Trinity Large Thinking?
Qwen Plus 0728 (thinking) has the larger context window at 1M tokens versus 262k tokens for Trinity Large Thinking. That means Qwen Plus 0728 (thinking) can ingest about 3.8x as much text per request.
What is the difference between Qwen Plus 0728 (thinking) and Trinity Large Thinking?
Qwen Plus 0728 (thinking) comes from Qwen; Trinity Large Thinking comes from Arcee AI. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.