Auto-generated comparison

Google: Gemini 2.5 Pro vs Qwen: Qwen VL Max

Google: Gemini 2.5 Pro and Qwen: Qwen VL Max are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 ProQwen: Qwen VL MaxWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M131K🏆 Google: Gemini 2.5 Pro
Input price (per 1M)
Cost per million input tokens billed by the provider.
$1.25$0.52🏆 Qwen: Qwen VL Max
Output price (per 1M)
Cost per million output tokens billed by the provider.
$10.00$2.08🏆 Qwen: Qwen VL Max
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🏆 Google: Gemini 2.5 Pro

Frequently asked questions

Is Google: Gemini 2.5 Pro better than Qwen: Qwen VL Max?

Google: Gemini 2.5 Pro and Qwen: Qwen VL Max are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.

What's the price difference between Google: Gemini 2.5 Pro and Qwen: Qwen VL Max?

Input: $1.25 vs $0.52 per 1M tokens. Output: $10.00 vs $2.08 per 1M tokens.

What context windows do Google: Gemini 2.5 Pro and Qwen: Qwen VL Max support?

Google: Gemini 2.5 Pro supports up to 1.0M tokens. Qwen: Qwen VL Max supports up to 131K tokens.

Do both Google: Gemini 2.5 Pro and Qwen: Qwen VL Max support tool calling?

Google: Gemini 2.5 Pro: yes. Qwen: Qwen VL Max: yes.

Compare Google: Gemini 2.5 Pro with other models

Compare Qwen: Qwen VL Max with other models