Model Comparison

Comprehensive side-by-side analysis of model capabilities and performance

Google

Gemini 1.0 Pro

Google

Gemini 1.0 Pro is a language model developed by Google. The model shows competitive results across 9 benchmarks. Notable strengths include BIG-Bench (75.0%), MMLU (71.8%), WMT23 (71.7%). The model is available through 1 API provider. Released in 2024, it represents Google's latest advancement in AI technology.

GLM-4.5V

Zhipu AI

GLM-4.5V is a multimodal language model developed by Zhipu AI. It supports a 197K token context window for handling large documents. The model is available through 2 API providers. As a multimodal model, it can process and understand text, images, and other input formats seamlessly. It's licensed for commercial use, making it suitable for enterprise applications. Released in 2025, it represents Zhipu AI's latest advancement in AI technology.

Google

Gemini 1.0 Pro

Google

2024-02-15

GLM-4.5V

Zhipu AI

2025-08-11

1 year newer

Pricing Comparison

Cost per million tokens (USD)

Google

Gemini 1.0 Pro

$0.80 cheaper
Input:$0.50
Output:$1.50

GLM-4.5V

Input:$0.60
Output:$2.20

Performance Metrics

Context window and performance specifications

Google

Gemini 1.0 Pro

Max Context:41.0K

GLM-4.5V

Larger context
Max Context:196.6K
Parameters:108.0B

Average performance across 9 common benchmarks

Google

Gemini 1.0 Pro

+48.4%
Average Score:48.4%

GLM-4.5V

Average Score:0.0%
Knowledge Cutoff
Training data recency comparison

Gemini 1.0 Pro

2024-02-01

More recent knowledge cutoff means awareness of newer technologies and frameworks

Provider Availability & Performance

Available providers and their performance metrics

Google

Gemini 1.0 Pro

1 providers

Google

Throughput: 120 tok/s
Latency: 0.4ms

GLM-4.5V

2 providers

Novita

ZeroEval

Throughput: 85 tok/s
Latency: 0.7ms
Google

Gemini 1.0 Pro

+48.4%
Avg Score:48.4%
Providers:1

GLM-4.5V

Avg Score:0.0%
Providers:2