Side-by-side comparison
Trinity Large Thinking vs Qwen3 Coder Flash
Arcee AI
Trinity Large Thinking
🔧 Tools
{} JSON
Input / 1M
$0.2200
Output / 1M
$0.8500
Qwen
Qwen3 Coder Flash
🔧 Tools
{} JSON
Input / 1M
$0.1950
Output / 1M
$0.9750
| Trinity Large Thinking | Qwen3 Coder Flash | |
|---|---|---|
| Provider | Arcee AI | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 262,144 | 1,000,000 |
| 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 → | 0.2200 | 0.1950 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.8500 | 0.9750 |
Frequently asked questions
Which is cheaper, Trinity Large Thinking or Qwen3 Coder Flash?
Trinity Large Thinking is cheaper than Qwen3 Coder Flash on a 50/50 input/output blend by about $0.05 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, Trinity Large Thinking or Qwen3 Coder Flash?
Qwen3 Coder Flash has the larger context window at 1M tokens versus 262k tokens for Trinity Large Thinking. That means Qwen3 Coder Flash can ingest about 3.8x as much text per request.
What is the difference between Trinity Large Thinking and Qwen3 Coder Flash?
Trinity Large Thinking comes from Arcee AI; Qwen3 Coder Flash 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.