Side-by-side comparison
Qwen Plus 0728 (thinking) vs DeepSeek V4 Pro
Qwen
Qwen Plus 0728 (thinking)
🔧 Tools
{} JSON
Input / 1M
$0.2600
Output / 1M
$0.7800
DeepSeek
DeepSeek V4 Pro
🔧 Tools
{} JSON
Input / 1M
$0.4350
Output / 1M
$0.8700
| Qwen Plus 0728 (thinking) | DeepSeek V4 Pro | |
|---|---|---|
| Provider | Qwen | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 1,000,000 | 1,048,576 |
| 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 | 0.4350 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.7800 | 0.8700 |
Frequently asked questions
Which is cheaper, Qwen Plus 0728 (thinking) or DeepSeek V4 Pro?
Qwen Plus 0728 (thinking) is cheaper than DeepSeek V4 Pro on a 50/50 input/output blend by about $0.1325 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 DeepSeek V4 Pro?
DeepSeek V4 Pro has the larger context window at 1M tokens versus 1M tokens for Qwen Plus 0728 (thinking). That means DeepSeek V4 Pro can ingest about 1.0x as much text per request.
What is the difference between Qwen Plus 0728 (thinking) and DeepSeek V4 Pro?
Qwen Plus 0728 (thinking) comes from Qwen; DeepSeek V4 Pro comes from DeepSeek. They differ in pricing, context window, and supported capabilities — see the side-by-side table on this page for the exact figures, refreshed nightly.