Comprehensive side-by-side LLM comparison
GLM-4.5V offers 65.5K more tokens in context window than Qwen3-Next-80B-A3B-Instruct. Qwen3-Next-80B-A3B-Instruct is $1.15 cheaper per million tokens. 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-Next-80B-A3B-Instruct is a language model developed by Alibaba Cloud / Qwen Team. It achieves strong performance with an average score of 67.0% across 24 benchmarks. It excels particularly in MMLU-Redux (90.9%), MultiPL-E (87.8%), IFEval (87.6%). It supports a 131K 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.
1 month newer
GLM-4.5V
Zhipu AI
2025-08-11
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
2025-09-10
Cost per million tokens (USD)
GLM-4.5V
Qwen3-Next-80B-A3B-Instruct
Context window and performance specifications
Average performance across 24 common benchmarks
GLM-4.5V
Qwen3-Next-80B-A3B-Instruct
Available providers and their performance metrics
GLM-4.5V
Novita
ZeroEval
Qwen3-Next-80B-A3B-Instruct
GLM-4.5V
Qwen3-Next-80B-A3B-Instruct
GLM-4.5V
Qwen3-Next-80B-A3B-Instruct
Novita