Auto-generated comparison

OpenAI: GPT-5.3 Chat vs Qwen: Qwen2.5 VL 72B Instruct

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

Side-by-side comparison

CapabilityOpenAI: GPT-5.3 ChatQwen: Qwen2.5 VL 72B InstructWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K128KTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$1.75$0.80🏆 Qwen: Qwen2.5 VL 72B Instruct
Output price (per 1M)
Cost per million output tokens billed by the provider.
$14.00$1.00🏆 Qwen: Qwen2.5 VL 72B Instruct
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-5.3 Chat
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is OpenAI: GPT-5.3 Chat better than Qwen: Qwen2.5 VL 72B Instruct?

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

What's the price difference between OpenAI: GPT-5.3 Chat and Qwen: Qwen2.5 VL 72B Instruct?

Input: $1.75 vs $0.80 per 1M tokens. Output: $14.00 vs $1.00 per 1M tokens.

What context windows do OpenAI: GPT-5.3 Chat and Qwen: Qwen2.5 VL 72B Instruct support?

OpenAI: GPT-5.3 Chat supports up to 128K tokens. Qwen: Qwen2.5 VL 72B Instruct supports up to 128K tokens.

Do both OpenAI: GPT-5.3 Chat and Qwen: Qwen2.5 VL 72B Instruct support tool calling?

OpenAI: GPT-5.3 Chat: yes. Qwen: Qwen2.5 VL 72B Instruct: not advertised.

Compare OpenAI: GPT-5.3 Chat with other models

Compare Qwen: Qwen2.5 VL 72B Instruct with other models