Auto-generated comparison

DeepSeek: DeepSeek V3.1 Terminus vs Qwen2.5 72B Instruct

DeepSeek: DeepSeek V3.1 Terminus and Qwen2.5 72B Instruct 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 TerminusQwen2.5 72B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K33K🏆 DeepSeek: DeepSeek V3.1 Terminus
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.21$0.12🏆 Qwen2.5 72B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.79$0.39🏆 Qwen2.5 72B Instruct
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 Qwen2.5 72B Instruct?

DeepSeek: DeepSeek V3.1 Terminus and Qwen2.5 72B Instruct 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 Qwen2.5 72B Instruct?

Input: $0.21 vs $0.12 per 1M tokens. Output: $0.79 vs $0.39 per 1M tokens.

What context windows do DeepSeek: DeepSeek V3.1 Terminus and Qwen2.5 72B Instruct support?

DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens. Qwen2.5 72B Instruct supports up to 33K tokens.

Do both DeepSeek: DeepSeek V3.1 Terminus and Qwen2.5 72B Instruct support tool calling?

DeepSeek: DeepSeek V3.1 Terminus: yes. Qwen2.5 72B Instruct: yes.

Compare DeepSeek: DeepSeek V3.1 Terminus with other models

Compare Qwen2.5 72B Instruct with other models