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 (exacto) vs Qwen: Qwen3 VL 235B A22B Thinking
DeepSeek: DeepSeek V3.1 Terminus (exacto) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math. The series emphasizes robust…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.1 Terminus (exacto) | Qwen: Qwen3 VL 235B A22B Thinking | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 131K | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.21 | $0.26 | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.79 | $2.60 | 🏆 DeepSeek: DeepSeek V3.1 Terminus (exacto) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Qwen: Qwen3 VL 235B A22B Thinking |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is DeepSeek: DeepSeek V3.1 Terminus (exacto) better than Qwen: Qwen3 VL 235B A22B Thinking?
DeepSeek: DeepSeek V3.1 Terminus (exacto) wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between DeepSeek: DeepSeek V3.1 Terminus (exacto) and Qwen: Qwen3 VL 235B A22B Thinking?
Input: $0.21 vs $0.26 per 1M tokens. Output: $0.79 vs $2.60 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.1 Terminus (exacto) and Qwen: Qwen3 VL 235B A22B Thinking support?
DeepSeek: DeepSeek V3.1 Terminus (exacto) supports up to 164K tokens. Qwen: Qwen3 VL 235B A22B Thinking supports up to 131K tokens.
Do both DeepSeek: DeepSeek V3.1 Terminus (exacto) and Qwen: Qwen3 VL 235B A22B Thinking support tool calling?
DeepSeek: DeepSeek V3.1 Terminus (exacto): yes. Qwen: Qwen3 VL 235B A22B Thinking: yes.