The Qwen3.5 native vision-language Flash models are built on a hybrid architecture that integrates a linear attention mechanism with a sparse mixture-of-experts model, achieving higher inference efficiency. Compared to the...
Model details →Qwen: Qwen3.5-Flash vs DeepSeek V4 Flash Latest
Qwen: Qwen3.5-Flash and DeepSeek V4 Flash Latest are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
This model always redirects to the latest model in the DeepSeek V4 Flash family.
Model details →Side-by-side comparison
| Capability | Qwen: Qwen3.5-Flash | DeepSeek V4 Flash Latest | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1M | 1.0M | 🏆 DeepSeek V4 Flash Latest |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.07 | $0.09 | 🏆 Qwen: Qwen3.5-Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.26 | $0.18 | 🏆 DeepSeek V4 Flash Latest |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Qwen: Qwen3.5-Flash |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Qwen: Qwen3.5-Flash better than DeepSeek V4 Flash Latest?
Qwen: Qwen3.5-Flash and DeepSeek V4 Flash Latest are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between Qwen: Qwen3.5-Flash and DeepSeek V4 Flash Latest?
Input: $0.07 vs $0.09 per 1M tokens. Output: $0.26 vs $0.18 per 1M tokens.
What context windows do Qwen: Qwen3.5-Flash and DeepSeek V4 Flash Latest support?
Qwen: Qwen3.5-Flash supports up to 1M tokens. DeepSeek V4 Flash Latest supports up to 1.0M tokens.
Do both Qwen: Qwen3.5-Flash and DeepSeek V4 Flash Latest support tool calling?
Qwen: Qwen3.5-Flash: yes. DeepSeek V4 Flash Latest: yes.
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