GLM-5.1 vs Qwen 3

Detailed side-by-side comparison to help you choose the right tool

GLM-5.1

Automation & Workflows

GLM-5.1 is a large language model hosted on Hugging Face by zai-org, intended for chat and tool-calling workflows.

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Custom

AI Development Platforms

Large language model and AI assistant developed by Alibaba, offering chat-based AI capabilities.

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Custom

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Feature	GLM-5.1	Qwen 3
Category	Automation & Workflows	AI Development Platforms
Pricing Plans	4 tiers	4 tiers
Starting Price
Key Features	• 744B total parameters with 40B active (MoE architecture) • 28.5T tokens pre-training data • DeepSeek Sparse Attention (DSA) for efficient long-context

✓Best-in-class open-source performance on reasoning, coding, and agentic tasks per Z.ai benchmarks (e.g., 77.8 on SWE-bench Verified, 96.9 on HMMT Nov. 2025)
✓Free open-weights download — no per-token API costs once self-hosted
✓Massive 744B-parameter MoE with only 40B active per token, balancing capacity and inference cost
✓DeepSeek Sparse Attention reduces long-context deployment cost meaningfully versus dense attention
✓Wide deployment support: vLLM, SGLang, Transformers, Ollama, LM Studio, llama.cpp, Docker — covering most serving stacks
✓Native tool-calling and chat templates ship with the model, simplifying agent integration
✓Backed by Z.ai's 'slime' asynchronous RL infrastructure, with active iteration from GLM-4.5 to 4.7 to 5

✗Running the full 744B-parameter model requires substantial GPU memory and multi-GPU infrastructure — out of reach for hobbyists
✗Still trails frontier closed models like Gemini 3 Pro (91.9 GPQA) and GPT-5.2 on several benchmarks (HLE, GPQA-Diamond)
✗Documentation on the Hugging Face card is sparse compared to commercial LLM platforms — most setup details live in external blogs and the GitHub repo
✗No standalone polished web UI; users must self-host or use the separate Z.ai API platform
✗Tool-calling uses a custom XML format that may require adapter code versus standard OpenAI function-calling JSON
✗License terms and commercial-use specifics must be verified directly on the model card before production deployment