Auto-generated comparison

Google: Gemini 2.5 Pro (batch) vs Xiaomi: MiMo-V2-Pro

Google: Gemini 2.5 Pro (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 Pro (batch)Xiaomi: MiMo-V2-ProWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M1.0MTie
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.63$1.00🏆 Google: Gemini 2.5 Pro (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$5.00$3.00🏆 Xiaomi: MiMo-V2-Pro
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Yes🏆 Google: Gemini 2.5 Pro (batch)
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Google: Gemini 2.5 Pro (batch) better than Xiaomi: MiMo-V2-Pro?

Google: Gemini 2.5 Pro (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemini 2.5 Pro (batch) and Xiaomi: MiMo-V2-Pro?

Input: $0.63 vs $1.00 per 1M tokens. Output: $5.00 vs $3.00 per 1M tokens.

What context windows do Google: Gemini 2.5 Pro (batch) and Xiaomi: MiMo-V2-Pro support?

Google: Gemini 2.5 Pro (batch) supports up to 1.0M tokens. Xiaomi: MiMo-V2-Pro supports up to 1.0M tokens.

Do both Google: Gemini 2.5 Pro (batch) and Xiaomi: MiMo-V2-Pro support tool calling?

Google: Gemini 2.5 Pro (batch): yes. Xiaomi: MiMo-V2-Pro: yes.

Compare Google: Gemini 2.5 Pro (batch) with other models

Compare Xiaomi: MiMo-V2-Pro with other models