Auto-generated comparison

Google: Gemini 2.5 Pro vs Z.ai: GLM 5.3 Prime

Google: Gemini 2.5 Pro wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityGoogle: Gemini 2.5 ProZ.ai: GLM 5.3 PrimeWinner
Context window
Maximum number of input tokens the model can attend to in a single request.
1.0M1M🏆 Google: Gemini 2.5 Pro
Input price (per 1M)
Cost per million input tokens billed by the provider.
$1.25$2.80🏆 Google: Gemini 2.5 Pro
Output price (per 1M)
Cost per million output tokens billed by the provider.
$10.00$8.80🏆 Z.ai: GLM 5.3 Prime
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
Reasoning mode
Internal chain-of-thought / extended-thinking support.
YesYesTie

Frequently asked questions

Is Google: Gemini 2.5 Pro better than Z.ai: GLM 5.3 Prime?

Google: Gemini 2.5 Pro wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between Google: Gemini 2.5 Pro and Z.ai: GLM 5.3 Prime?

Input: $1.25 vs $2.80 per 1M tokens. Output: $10.00 vs $8.80 per 1M tokens.

What context windows do Google: Gemini 2.5 Pro and Z.ai: GLM 5.3 Prime support?

Google: Gemini 2.5 Pro supports up to 1.0M tokens. Z.ai: GLM 5.3 Prime supports up to 1M tokens.

Do both Google: Gemini 2.5 Pro and Z.ai: GLM 5.3 Prime support tool calling?

Google: Gemini 2.5 Pro: yes. Z.ai: GLM 5.3 Prime: yes.

Compare Google: Gemini 2.5 Pro with other models

Compare Z.ai: GLM 5.3 Prime with other models