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 VL 30B A3B Thinking
DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 VL 30B A3B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
Qwen3-VL-30B-A3B-Thinking is a multimodal model that unifies strong text generation with visual understanding for images and videos. Its Thinking variant enhances reasoning in STEM, math, and complex tasks. It excels in perception of real-w…
Model details →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.1 Terminus | Qwen: Qwen3 VL 30B A3B 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 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.21 | $0.13 | 🏆 Qwen: Qwen3 VL 30B A3B Thinking |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.79 | $1.56 | 🏆 DeepSeek: DeepSeek V3.1 Terminus |
| 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 30B A3B Thinking |
| 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 VL 30B A3B Thinking?
DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 VL 30B A3B Thinking are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 VL 30B A3B Thinking?
Input: $0.21 vs $0.13 per 1M tokens. Output: $0.79 vs $1.56 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 VL 30B A3B Thinking support?
DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens. Qwen: Qwen3 VL 30B A3B Thinking supports up to 131K tokens.
Do both DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen3 VL 30B A3B Thinking support tool calling?
DeepSeek: DeepSeek V3.1 Terminus: yes. Qwen: Qwen3 VL 30B A3B Thinking: yes.