Qwen-Plus vs DeepSeek V4 Pro
DeepSeek V4 Pro
| Qwen-Plus | DeepSeek V4 Pro | |
|---|---|---|
| Provider | Qwen | DeepSeek |
| Context window Maximum tokens (input + output) the model can process in a single request. Glossary β | 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 β | 0.2600 | 0.4350 |
| Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3β5Γ pricier than input. Glossary β | 0.7800 | 0.8700 |
Frequently asked questions
Which is cheaper, Qwen-Plus or DeepSeek V4 Pro?
Qwen-Plus 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 β use the cost calculator on this page for a workload-specific estimate.
Which has a larger context window, Qwen-Plus or DeepSeek V4 Pro?
DeepSeek V4 Pro has the larger context window at 1M tokens versus 1M tokens for Qwen-Plus. That means DeepSeek V4 Pro can ingest about 1.0x as much text per request.
What is the difference between Qwen-Plus and DeepSeek V4 Pro?
Qwen-Plus comes from Qwen; DeepSeek V4 Pro comes from DeepSeek. They differ in pricing, context window, and supported capabilities β see the side-by-side table on this page for the exact figures, refreshed nightly.