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.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Instruct-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 72.1% across 25 benchmarks. It excels particularly in ZebraLogic (95.0%), MMLU-Redux (93.1%), IFEval (88.7%). The model shows particular specialization in general tasks with an average performance of 77.5%. It supports a 147K 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 Alibaba Cloud / Qwen Team's latest advancement in AI technology.

Qwen3-235B-A22B-Instruct-2507
Alibaba Cloud / Qwen Team
2025-07-22
GLM-4.5
Zhipu AI
2025-07-28
6 days newer
Pricing Comparison
Cost per million tokens (USD)
GLM-4.5

Qwen3-235B-A22B-Instruct-2507
Performance Metrics
Context window and performance specifications
GLM-4.5

Qwen3-235B-A22B-Instruct-2507
Average performance across 3 common benchmarks
GLM-4.5

Qwen3-235B-A22B-Instruct-2507
Performance comparison across key benchmark categories
GLM-4.5

Qwen3-235B-A22B-Instruct-2507
Provider Availability & Performance
Available providers and their performance metrics
GLM-4.5
DeepInfra

Qwen3-235B-A22B-Instruct-2507
Novita
GLM-4.5

Qwen3-235B-A22B-Instruct-2507