+
+
+
+
+
+
+
+
VS
VS
VS
VS
VS
VS
Comprehensive side-by-side LLM comparison
Qwen3-VL-235B-A22B offers 66.2K more tokens in context window than GLM-4.7. Both models have similar pricing. Qwen3-VL-235B-A22B supports multimodal inputs. Both models have their strengths depending on your specific coding needs.
Zhipu AI
GLM-4.7, released by Zhipu AI on December 22, 2025, is a large language model with approximately 400 billion parameters from the GLM-4 family, designed for deep mathematical reasoning, multi-file software engineering, and stable agentic orchestration. It features a 200K token context window and 128K maximum output tokens, supporting extended code and analysis generation. GLM-4.7 targets advanced open-source deployments under an MIT license via Zhipu AI's Z.ai platform.
Alibaba / Qwen
Qwen3-VL-235B-A22B, released by Alibaba's Qwen team in September 2025, is a natively multimodal Mixture-of-Experts large language model with 235 billion total parameters and 22 billion active parameters. It features a 256K token context window (with extrapolation to 1M tokens), native support for text, image, and video input, and joint visual-textual reasoning capabilities. Qwen3-VL-235B targets complex visual reasoning, video understanding, and multimodal agentic tasks under the Apache 2.0 license.
3 months newer
Qwen3-VL-235B-A22B
Alibaba / Qwen
2025-09-23
GLM-4.7
Zhipu AI
2025-12-22
Cost per million tokens (USD)
GLM-4.7
Qwen3-VL-235B-A22B
Context window and performance specifications
Available providers and their performance metrics
GLM-4.7
Zhipu AI
Qwen3-VL-235B-A22B
OpenRouter
GLM-4.7
Qwen3-VL-235B-A22B
GLM-4.7
Qwen3-VL-235B-A22B