Comprehensive side-by-side LLM comparison
GLM 5 leads with 1.4% 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-5 is a large language model from Zhipu AI with 745 billion total parameters and 44 billion active parameters per inference, designed for agentic intelligence, advanced reasoning, and frontier-level performance. It features a 200K token context window and targets complex multi-step tasks requiring sustained reasoning and tool use. GLM-5 is available via Zhipu AI's Z.ai platform under an MIT license.
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.
5 days newer
GLM 5
Zhipu AI
2026-02-11
Qwen3.5-397B-A17B
Alibaba / Qwen
2026-02-16
Context window and performance specifications
Average performance across 1 common benchmarks
GLM 5
Qwen3.5-397B-A17B
Performance comparison across key benchmark categories
GLM 5
Qwen3.5-397B-A17B
Available providers and their performance metrics
GLM 5
Zhipu AI
Qwen3.5-397B-A17B
GLM 5
Qwen3.5-397B-A17B
GLM 5
Qwen3.5-397B-A17B