DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture. It activates 8B parameters on input and 16B on...
Model details →DeepSeek: DeepSeek V4.1 Flash vs Qwen: Qwen3.5-Flash
Qwen: Qwen3.5-Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
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 →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V4.1 Flash | Qwen: Qwen3.5-Flash | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1M | 🏆 DeepSeek: DeepSeek V4.1 Flash |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.15 | $0.07 | 🏆 Qwen: Qwen3.5-Flash |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.60 | $0.26 | 🏆 Qwen: Qwen3.5-Flash |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | Yes | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V4.1 Flash better than Qwen: Qwen3.5-Flash?
Qwen: Qwen3.5-Flash wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V4.1 Flash and Qwen: Qwen3.5-Flash?
Input: $0.15 vs $0.07 per 1M tokens. Output: $0.60 vs $0.26 per 1M tokens.
What context windows do DeepSeek: DeepSeek V4.1 Flash and Qwen: Qwen3.5-Flash support?
DeepSeek: DeepSeek V4.1 Flash supports up to 1.0M tokens. Qwen: Qwen3.5-Flash supports up to 1M tokens.
Do both DeepSeek: DeepSeek V4.1 Flash and Qwen: Qwen3.5-Flash support tool calling?
DeepSeek: DeepSeek V4.1 Flash: yes. Qwen: Qwen3.5-Flash: yes.