Qwen Plus 0728 vs DeepSeek V4 Pro
A side-by-side comparison of two llm models — real specs, pricing, strengths and weaknesses, and a clear verdict on which to choose. Kept current by our agents.
Quick verdict: which should you choose?
Choose Qwen Plus 0728 if you need
- ✓coding tasks or technical/STEM domains with clear structured outputs
- ✓very long inputs up to 1,048,576 tokens and known output speed of 79.81 t/s
- ✓applications where an intelligence_index of 51.5 is documented
- ✓handling of million-token contexts with emphasis on factual technical work
Choose DeepSeek V4 Pro if you need
- ✓lower output price at $0.78 per million tokens
- ✓strong Chinese-English bilingual performance alongside general reasoning
- ✓1M-token context handling at the lowest available listed cost
- ✓scenarios prioritizing price over documented speed or intelligence metrics
Verdict
DeepSeek V4 Pro leads on measurable performance with a reported intelligence_index of 51.5, faster documented output speed, and explicit strengths in coding and STEM tasks, while Qwen Plus 0728 undercuts it on price at $0.78 per million tokens versus $0.87. Both models are open-weight and text-only with nearly identical 1M-token contexts, but DeepSeek provides more concrete capability details where Qwen's intelligence and speed remain unreported. Qwen edges ahead only on cost and bilingual emphasis.
Qwen Plus 0728 vs DeepSeek V4 Pro: side by side
| Spec | Qwen Plus 0728 | DeepSeek V4 Pro | Winner |
|---|---|---|---|
| Intelligence | — | 51.5 | Tie |
| Output speed | — | 80 t/s | Tie |
| Output price | $0.78/1M | $0.87/1M | Qwen Plus 0728 |
| Context | 1000K | 1049K | DeepSeek V4 Pro |
| Params | — | — | Tie |
| Type | Open-weight | Open-weight | Tie |
| Provider | Alibaba Qwen | DeepSeek | Tie |
Detailed analysis
Pricing
Winner: Qwen Plus 0728Qwen Plus 0728 lists output at $0.78 per million tokens compared with DeepSeek V4 Pro at $0.87 per million tokens. Both are open-weight models from their respective providers. This gives Qwen a clear cost advantage on the single price metric provided.
Context Length
Winner: TieDeepSeek V4 Pro supports 1,048,576 tokens while Qwen Plus 0728 supports 1,000,000 tokens. The difference is marginal and both are described as effective for million-token text tasks. Neither offers multimodal extensions.
Performance & Strengths
Winner: DeepSeek V4 ProDeepSeek V4 Pro reports an intelligence_index of 51.5 and lists explicit strengths in coding, long-input handling, structured outputs, and STEM domains. Qwen Plus 0728 lists strengths in bilingual performance and general reasoning but provides no intelligence_index. DeepSeek therefore supplies more concrete performance grounding.
Speed
Winner: DeepSeek V4 ProOnly DeepSeek V4 Pro reports an output speed of 79.81 tokens per second. Qwen Plus 0728 leaves speed unreported. This leaves DeepSeek with the sole documented speed figure.
Qwen Plus 0728
Pros
- +Handles up to 1M token contexts
- +Strong Chinese-English bilingual performance
- +Solid general reasoning for an LLM
Cons
- –Text-only modality
- –No native vision or multimodal support
- –Knowledge cutoff inherent to training data
DeepSeek V4 Pro
Pros
- +Strong performance on coding tasks
- +Effective handling of very long inputs
- +Clear and structured outputs
- +Good at technical and STEM domains
Cons
- –Text-only modality
- –No real-time information access
- –Can produce hallucinations on facts
Summary: Qwen Plus 0728 vs DeepSeek V4 Pro
Select DeepSeek V4 Pro when coding performance, STEM focus, or documented speed and intelligence metrics matter most. Choose Qwen Plus 0728 when minimizing cost is the priority and bilingual capability is valued. Both remain comparable on context length and open-weight availability.
Frequently asked questions
DeepSeek V4 Pro shows more documented strengths in coding and technical tasks plus a reported intelligence_index, while Qwen Plus 0728 is cheaper; the better choice depends on whether performance details or price is prioritized.