Side-by-side comparison
DeepSeek V3 0324 vs Qwen Plus 0728 (thinking)
DeepSeek
DeepSeek V3 0324
🔧 Tools
{} JSON
Input / 1M
$0.2000
Output / 1M
$0.7700
Qwen
Qwen Plus 0728 (thinking)
🔧 Tools
{} JSON
Input / 1M
$0.2600
Output / 1M
$0.7800
| DeepSeek V3 0324 | Qwen Plus 0728 (thinking) | |
|---|---|---|
| Provider | DeepSeek | Qwen |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary → | 163,840 | 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 → | 0.2000 | 0.2600 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5× pricier than input. Glossary → | 0.7700 | 0.7800 |
Frequently asked questions
Which is cheaper, DeepSeek V3 0324 or Qwen Plus 0728 (thinking)?
DeepSeek V3 0324 is cheaper than Qwen Plus 0728 (thinking) on a 50/50 input/output blend by about $0.035 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, DeepSeek V3 0324 or Qwen Plus 0728 (thinking)?
Qwen Plus 0728 (thinking) has the larger context window at 1M tokens versus 164k tokens for DeepSeek V3 0324. That means Qwen Plus 0728 (thinking) can ingest about 6.1x as much text per request.
What is the difference between DeepSeek V3 0324 and Qwen Plus 0728 (thinking)?
DeepSeek V3 0324 comes from DeepSeek; Qwen Plus 0728 (thinking) 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.