Auto-generated comparison

DeepSeek Chat (legacy id) vs Qwen2.5 72B Instruct

Qwen2.5 72B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek Chat (legacy id)Qwen2.5 72B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K33K🏆 DeepSeek Chat (legacy id)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.32$0.12🏆 Qwen2.5 72B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.89$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.
Tie

Frequently asked questions

Is DeepSeek Chat (legacy id) better than Qwen2.5 72B Instruct?

Qwen2.5 72B Instruct wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek Chat (legacy id) and Qwen2.5 72B Instruct?

Input: $0.32 vs $0.12 per 1M tokens. Output: $0.89 vs $0.39 per 1M tokens.

What context windows do DeepSeek Chat (legacy id) and Qwen2.5 72B Instruct support?

DeepSeek Chat (legacy id) supports up to 164K tokens. Qwen2.5 72B Instruct supports up to 33K tokens.

Do both DeepSeek Chat (legacy id) and Qwen2.5 72B Instruct support tool calling?

DeepSeek Chat (legacy id): yes. Qwen2.5 72B Instruct: yes.

Compare DeepSeek Chat (legacy id) with other models

Compare Qwen2.5 72B Instruct with other models