DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism tha…
Model details →DeepSeek: DeepSeek V3.2 vs Qwen: Qwen3 235B A22B
DeepSeek: DeepSeek V3.2 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-235B-A22B is a 235B parameter mixture-of-experts (MoE) model developed by Qwen, activating 22B parameters per forward pass. It supports seamless switching between a "thinking" mode for complex reasoning, math, and code tasks, and a "n…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.2 | Qwen: Qwen3 235B A22B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 131K | 🏆 DeepSeek: DeepSeek V3.2 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.26 | $0.46 | 🏆 DeepSeek: DeepSeek V3.2 |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.38 | $1.82 | 🏆 DeepSeek: DeepSeek V3.2 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V3.2 better than Qwen: Qwen3 235B A22B?
DeepSeek: DeepSeek V3.2 wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V3.2 and Qwen: Qwen3 235B A22B?
Input: $0.26 vs $0.46 per 1M tokens. Output: $0.38 vs $1.82 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.2 and Qwen: Qwen3 235B A22B support?
DeepSeek: DeepSeek V3.2 supports up to 164K tokens. Qwen: Qwen3 235B A22B supports up to 131K tokens.
Do both DeepSeek: DeepSeek V3.2 and Qwen: Qwen3 235B A22B support tool calling?
DeepSeek: DeepSeek V3.2: yes. Qwen: Qwen3 235B A22B: yes.