DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further …
Model details →DeepSeek: DeepSeek V3.1 Terminus vs Qwen: Qwen3 32B
Qwen: Qwen3 32B wins on 2 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 tasks like math, coding, and logical…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.1 Terminus | Qwen: Qwen3 32B | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 41K | 🏆 DeepSeek: DeepSeek V3.1 Terminus |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.21 | $0.08 | 🏆 Qwen: Qwen3 32B |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.79 | $0.24 | 🏆 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 | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V3.1 Terminus better than Qwen: Qwen3 32B?
Qwen: Qwen3 32B wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 32B?
Input: $0.21 vs $0.08 per 1M tokens. Output: $0.79 vs $0.24 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 32B support?
DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens. Qwen: Qwen3 32B supports up to 41K tokens.
Do both DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 32B support tool calling?
DeepSeek: DeepSeek V3.1 Terminus: yes. Qwen: Qwen3 32B: yes.