Side-by-side comparison
Ling-2.6-1T vs Qwen3 Coder Plus
Qwen
Qwen3 Coder Plus
🔧 Tools
{} JSON
Input / 1M
$0.6500
Output / 1M
$3.2500
| Ling-2.6-1T | Qwen3 Coder Plus | |
|---|---|---|
| Provider | inclusionAI | 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 → | 0.3000 | 0.6500 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 2.5000 | 3.2500 |
Frequently asked questions
Which is cheaper, Ling-2.6-1T or Qwen3 Coder Plus?
Ling-2.6-1T is cheaper than Qwen3 Coder Plus on a 50/50 input/output blend by about $0.55 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, Ling-2.6-1T or Qwen3 Coder Plus?
Qwen3 Coder Plus has the larger context window at 1M tokens versus 262k tokens for Ling-2.6-1T. That means Qwen3 Coder Plus can ingest about 3.8x as much text per request.
What is the difference between Ling-2.6-1T and Qwen3 Coder Plus?
Ling-2.6-1T comes from inclusionAI; Qwen3 Coder Plus 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.