Auto-generated comparison

Google: Gemini 2.5 Pro (batch) vs Z.ai: GLM 4.5V

Z.ai: GLM 4.5V 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)Z.ai: GLM 4.5VWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M66K🏆 Google: Gemini 2.5 Pro (batch)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.63$0.60🏆 Z.ai: GLM 4.5V
Output price (per 1M)
Cost per million output tokens billed by the provider.
$5.00$1.80🏆 Z.ai: GLM 4.5V
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.
YesYesTie

Frequently asked questions

Is Google: Gemini 2.5 Pro (batch) better than Z.ai: GLM 4.5V?

Z.ai: GLM 4.5V 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 Z.ai: GLM 4.5V?

Input: $0.63 vs $0.60 per 1M tokens. Output: $5.00 vs $1.80 per 1M tokens.

What context windows do Google: Gemini 2.5 Pro (batch) and Z.ai: GLM 4.5V support?

Google: Gemini 2.5 Pro (batch) supports up to 1.0M tokens. Z.ai: GLM 4.5V supports up to 66K tokens.

Do both Google: Gemini 2.5 Pro (batch) and Z.ai: GLM 4.5V support tool calling?

Google: Gemini 2.5 Pro (batch): yes. Z.ai: GLM 4.5V: yes.

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

Compare Z.ai: GLM 4.5V with other models