Auto-generated comparison

OpenAI: GPT-4o-mini (2024-07-18) vs Qwen: Qwen2.5 VL 32B Instruct

OpenAI: GPT-4o-mini (2024-07-18) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityOpenAI: GPT-4o-mini (2024-07-18)Qwen: Qwen2.5 VL 32B 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.
$0.15$0.20🏆 OpenAI: GPT-4o-mini (2024-07-18)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.60$0.60Tie
Tool / function calling
First-class support for emitting structured tool calls.
Yes🏆 OpenAI: GPT-4o-mini (2024-07-18)
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is OpenAI: GPT-4o-mini (2024-07-18) better than Qwen: Qwen2.5 VL 32B Instruct?

OpenAI: GPT-4o-mini (2024-07-18) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between OpenAI: GPT-4o-mini (2024-07-18) and Qwen: Qwen2.5 VL 32B Instruct?

Input: $0.15 vs $0.20 per 1M tokens. Output: $0.60 vs $0.60 per 1M tokens.

What context windows do OpenAI: GPT-4o-mini (2024-07-18) and Qwen: Qwen2.5 VL 32B Instruct support?

OpenAI: GPT-4o-mini (2024-07-18) supports up to 128K tokens. Qwen: Qwen2.5 VL 32B Instruct supports up to 128K tokens.

Do both OpenAI: GPT-4o-mini (2024-07-18) and Qwen: Qwen2.5 VL 32B Instruct support tool calling?

OpenAI: GPT-4o-mini (2024-07-18): yes. Qwen: Qwen2.5 VL 32B Instruct: not advertised.

Compare OpenAI: GPT-4o-mini (2024-07-18) with other models

Compare Qwen: Qwen2.5 VL 32B Instruct with other models