Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy...
Model details →Google: Gemini 2.5 Pro vs Z.ai: GLM 5.3
Google: Gemini 2.5 Pro wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...
Model details →Side-by-side comparison
| Capability | Google: Gemini 2.5 Pro | Z.ai: GLM 5.3 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 1.0M | 1.0M | Tie |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $1.25 | $1.40 | 🏆 Google: Gemini 2.5 Pro |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $10.00 | $4.40 | 🏆 Z.ai: GLM 5.3 |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | Yes | — | 🏆 Google: Gemini 2.5 Pro |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | Yes | Tie |
Frequently asked questions
Is Google: Gemini 2.5 Pro better than Z.ai: GLM 5.3?
Google: Gemini 2.5 Pro 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 and Z.ai: GLM 5.3?
Input: $1.25 vs $1.40 per 1M tokens. Output: $10.00 vs $4.40 per 1M tokens.
What context windows do Google: Gemini 2.5 Pro and Z.ai: GLM 5.3 support?
Google: Gemini 2.5 Pro supports up to 1.0M tokens. Z.ai: GLM 5.3 supports up to 1.0M tokens.
Do both Google: Gemini 2.5 Pro and Z.ai: GLM 5.3 support tool calling?
Google: Gemini 2.5 Pro: yes. Z.ai: GLM 5.3: yes.