Gemini 2.5 Pro vs GLM 4.5V
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Gemini 2.5 Pro and GLM 4.5V.
Gemini 2.5 Pro
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...
GLM 4.5V
GLM-4.5V is a vision-language foundation model for multimodal agent applications. Built on a Mixture-of-Experts (MoE) architecture with 106B parameters and 12B activated parameters, it achieves state-of-the-art results in video understanding,...
Technical Specifications
| Specification | Gemini 2.5 Pro | GLM 4.5V |
|---|---|---|
| Provider | Zhipu AI | |
| Context Window | 1,048,576 tokens | 65,536 tokens |
| Agent Suitability | 90/100 | N/A |
| Time to First Token (TTFT) | 450 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2025-06-17 | 2025-08-11 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 2.5 Pro
$1.25
GLM 4.5V
$0.60
Output Price per Million Tokens
Gemini 2.5 Pro
$10.00
GLM 4.5V
$1.80
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 2.5 Pro Quirks & Gotchas
- ▸Legacy model — migrate to Gemini 3.1 Pro for better tool calling and lower latency
GLM 4.5V Quirks & Gotchas
No developer gotchas reported.