Side-by-side comparison
Trinity Large Thinking vs Qwen3 VL 235B A22B Instruct
Arcee AI
Trinity Large Thinking
🔧 Tools
{} JSON
Input / 1M
$0.2200
Output / 1M
$0.8500
Qwen
Qwen3 VL 235B A22B Instruct
👁 Vision
🔧 Tools
{} JSON
Input / 1M
$0.2000
Output / 1M
$0.8800
| Trinity Large Thinking | Qwen3 VL 235B A22B Instruct | |
|---|---|---|
| Provider | Arcee AI | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 262,144 |
| Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). | tools, json_mode | vision, tools, json_mode |
| Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary → | 0.2200 | 0.2000 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.8500 | 0.8800 |
Frequently asked questions
Which is cheaper, Trinity Large Thinking or Qwen3 VL 235B A22B Instruct?
Trinity Large Thinking is cheaper than Qwen3 VL 235B A22B Instruct on a 50/50 input/output blend by about $0.005 per 1M tokens. Exact savings depend on your input-vs-output ratio — use the cost calculator on this page for a workload-specific estimate.
What is the difference between Trinity Large Thinking and Qwen3 VL 235B A22B Instruct?
Trinity Large Thinking comes from Arcee AI; Qwen3 VL 235B A22B Instruct 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.