Comprehensive side-by-side LLM comparison
Qwen3-Coder-480B offers 66.2K more tokens in context window than GLM-4.7. Both models have similar pricing. 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-Coder-480B-A35B-Instruct, released by Alibaba's Qwen team on July 22, 2025, is a Mixture-of-Experts large language model with 480 billion total parameters and 35 billion active parameters per inference, specifically designed for agentic coding tasks. It features a 256K token native context window (extendable to 1M tokens with extrapolation) and demonstrated competitive performance on agentic coding, browser automation, and tool-use benchmarks. Qwen3-Coder-480B targets automated software engineering, multi-step code agents, and open-source coding deployments under the Apache 2.0 license.
5 months newer
Qwen3-Coder-480B
Alibaba / Qwen
2025-07-22
GLM-4.7
Zhipu AI
2025-12-22
Cost per million tokens (USD)
GLM-4.7
Qwen3-Coder-480B
Context window and performance specifications
Available providers and their performance metrics
GLM-4.7
Zhipu AI
Qwen3-Coder-480B
OpenRouter
GLM-4.7
Qwen3-Coder-480B
GLM-4.7
Qwen3-Coder-480B