Model Comparison
Comprehensive side-by-side analysis of model capabilities and performance
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.
Jamba 1.5 Large
AI21 Labs
Jamba 1.5 Large is a language model developed by AI21 Labs. It achieves strong performance with an average score of 65.5% across 8 benchmarks. It excels particularly in ARC-C (93.0%), GSM8k (87.0%), MMLU (81.2%). It supports a 512K token context window for handling large documents. The model is available through 2 API providers. Released in 2024, it represents AI21 Labs's latest advancement in AI technology.
Jamba 1.5 Large
AI21 Labs
2024-08-22
GLM-4.5
Zhipu AI
2025-07-28
11 months newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5
Jamba 1.5 Large
Performance Metrics
Context window and performance specifications
GLM-4.5
Jamba 1.5 Large
Average performance across 2 common benchmarks
GLM-4.5
Jamba 1.5 Large
Performance comparison across key benchmark categories
GLM-4.5
Jamba 1.5 Large
Jamba 1.5 Large
2024-03-05
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra
Jamba 1.5 Large
Bedrock
GLM-4.5
Jamba 1.5 Large