Auto-generated comparison

DeepSeek: DeepSeek V3.1 Terminus vs Qwen: Qwen-Turbo

DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen-Turbo are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityDeepSeek: DeepSeek V3.1 TerminusQwen: Qwen-TurboWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K131K🏆 DeepSeek: DeepSeek V3.1 Terminus
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.21$0.03🏆 Qwen: Qwen-Turbo
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.79$0.13🏆 Qwen: Qwen-Turbo
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 DeepSeek: DeepSeek V3.1 Terminus

Frequently asked questions

Is DeepSeek: DeepSeek V3.1 Terminus better than Qwen: Qwen-Turbo?

DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen-Turbo 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: Qwen-Turbo?

Input: $0.21 vs $0.03 per 1M tokens. Output: $0.79 vs $0.13 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen-Turbo support?

DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens. Qwen: Qwen-Turbo supports up to 131K tokens.

Do both DeepSeek: DeepSeek V3.1 Terminus and Qwen: Qwen-Turbo support tool calling?

DeepSeek: DeepSeek V3.1 Terminus: yes. Qwen: Qwen-Turbo: yes.

Compare DeepSeek: DeepSeek V3.1 Terminus with other models

Compare Qwen: Qwen-Turbo with other models