Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
Gemma 3 12B
Gemma 3 12B is a multimodal language model developed by Google. It achieves strong performance with an average score of 62.5% across 26 benchmarks. It excels particularly in GSM8k (94.4%), IFEval (88.9%), DocVQA (87.1%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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 Google's latest advancement in AI technology.
GLM-4.5
Zhipu AI
GLM-4.5 is a language model developed by Zhipu AI. It achieves strong performance with an average score of 64.0% across 14 benchmarks. It excels particularly in MATH-500 (98.2%), AIME 2024 (91.0%), MMLU-Pro (84.6%). It supports a 262K token context window for handling large documents. The model is available through 1 API provider. 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.
Gemma 3 12B
2025-03-12
GLM-4.5
Zhipu AI
2025-07-28
4 months newer
Pricing Comparison
Cost per million tokens (USD)
Gemma 3 12B
GLM-4.5
Performance Metrics
Context window and performance specifications
Gemma 3 12B
GLM-4.5
Average performance across 3 common benchmarks
Gemma 3 12B
GLM-4.5
Performance comparison across key benchmark categories
Gemma 3 12B
GLM-4.5
Provider Availability & Performance
Available providers and their performance metrics
Gemma 3 12B
DeepInfra
GLM-4.5
DeepInfra
Gemma 3 12B
GLM-4.5