DeepSeek V3.1 Nex-N1 is the flagship release of the Nex-N1 series — a post-trained model designed to highlight agent autonomy, tool use, and real-world productivity. Nex-N1 demonstrates competitive performance across all evaluation scenar…
Model details →Nex AGI: DeepSeek V3.1 Nex N1 vs Qwen: Qwen3 32B
Qwen: Qwen3 32B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...
Model details →Side-by-side comparison
| Capability | Nex AGI: DeepSeek V3.1 Nex N1 | Qwen: Qwen3 32B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 131K | 131K | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.14 | $0.08 | 🏆 Qwen: Qwen3 32B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.50 | $0.28 | 🏆 Qwen: Qwen3 32B |
| 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 | 🏆 Qwen: Qwen3 32B |
Frequently asked questions
Is Nex AGI: DeepSeek V3.1 Nex N1 better than Qwen: Qwen3 32B?
Qwen: Qwen3 32B wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Nex AGI: DeepSeek V3.1 Nex N1 and Qwen: Qwen3 32B?
Input: $0.14 vs $0.08 per 1M tokens. Output: $0.50 vs $0.28 per 1M tokens.
What context windows do Nex AGI: DeepSeek V3.1 Nex N1 and Qwen: Qwen3 32B support?
Nex AGI: DeepSeek V3.1 Nex N1 supports up to 131K tokens. Qwen: Qwen3 32B supports up to 131K tokens.
Do both Nex AGI: DeepSeek V3.1 Nex N1 and Qwen: Qwen3 32B support tool calling?
Nex AGI: DeepSeek V3.1 Nex N1: yes. Qwen: Qwen3 32B: yes.