Comprehensive side-by-side LLM comparison
Qwen3-235B-A22B-Thinking-2507 offers 190.5K more tokens in context window than GLM-4.5V. Both models have similar pricing. GLM-4.5V supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
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.
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507 is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 69.2% across 25 benchmarks. It excels particularly in MMLU-Redux (93.8%), AIME 2025 (92.3%), WritingBench (88.3%). It supports a 387K 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.
17 days newer
Qwen3-235B-A22B-Thinking-2507
Alibaba Cloud / Qwen Team
2025-07-25
GLM-4.5V
Zhipu AI
2025-08-11
Cost per million tokens (USD)
GLM-4.5V
Qwen3-235B-A22B-Thinking-2507
Context window and performance specifications
Average performance across 25 common benchmarks
GLM-4.5V
Qwen3-235B-A22B-Thinking-2507
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval
Qwen3-235B-A22B-Thinking-2507
GLM-4.5V
Qwen3-235B-A22B-Thinking-2507
GLM-4.5V
Qwen3-235B-A22B-Thinking-2507
Novita