Comprehensive side-by-side LLM comparison
Qwen3.5-397B-A17B leads with 2.6% higher average benchmark score. Qwen3.5-397B-A17B 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
Qwen3.5-397B-A17B is a 397-billion-parameter mixture-of-experts model from Alibaba's Qwen team, released in February 2026 as the open-weight flagship of the Qwen3.5 series, featuring 17 billion active parameters per forward pass through a hybrid linear-attention and sparse-MoE architecture based on Gated Delta Networks. The model was co-trained on text, images, and video using early fusion, making it natively multimodal across a 262K token context window, while achieving significantly higher inference throughput than comparable dense models due to its sparse computation design. At release it was one of the most capable open-weight models publicly available, offered under Apache 2.0 and accessible through Alibaba's DashScope API as the Qwen3.5-Plus endpoint.
1 month newer
GLM-4.7
Zhipu AI
2025-12-22
Qwen3.5-397B-A17B
Alibaba / Qwen
2026-02-16
Context window and performance specifications
Average performance across 1 common benchmarks
GLM-4.7
Qwen3.5-397B-A17B
Performance comparison across key benchmark categories
GLM-4.7
Qwen3.5-397B-A17B
Available providers and their performance metrics
GLM-4.7
Zhipu AI
Qwen3.5-397B-A17B
GLM-4.7
Qwen3.5-397B-A17B
GLM-4.7
Qwen3.5-397B-A17B