Auto-generated comparison

OpenAI: GPT-4o-mini vs Qwen: Qwen3 VL 8B Thinking

Qwen: Qwen3 VL 8B Thinking wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityOpenAI: GPT-4o-miniQwen: Qwen3 VL 8B ThinkingWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
128K131K🏆 Qwen: Qwen3 VL 8B Thinking
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.15$0.12🏆 Qwen: Qwen3 VL 8B Thinking
Output price (per 1M)
Cost per million output tokens billed by the provider.
$0.60$1.36🏆 OpenAI: GPT-4o-mini
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
YesYesTie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Yes🏆 Qwen: Qwen3 VL 8B Thinking

Frequently asked questions

Is OpenAI: GPT-4o-mini better than Qwen: Qwen3 VL 8B Thinking?

Qwen: Qwen3 VL 8B Thinking wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between OpenAI: GPT-4o-mini and Qwen: Qwen3 VL 8B Thinking?

Input: $0.15 vs $0.12 per 1M tokens. Output: $0.60 vs $1.36 per 1M tokens.

What context windows do OpenAI: GPT-4o-mini and Qwen: Qwen3 VL 8B Thinking support?

OpenAI: GPT-4o-mini supports up to 128K tokens. Qwen: Qwen3 VL 8B Thinking supports up to 131K tokens.

Do both OpenAI: GPT-4o-mini and Qwen: Qwen3 VL 8B Thinking support tool calling?

OpenAI: GPT-4o-mini: yes. Qwen: Qwen3 VL 8B Thinking: yes.

Compare OpenAI: GPT-4o-mini with other models

Compare Qwen: Qwen3 VL 8B Thinking with other models