GLM 5 Introduction
GLM 5 is a frontier LLM with 745B parameters, MoE architecture, and 128K context, offering state-of-the-art reasoning, coding, and agentic AI for developers.
What is GLM 5
GLM 5 is a fifth-generation frontier large language model featuring 745 billion total parameters with a Mixture-of-Experts (MoE) architecture. It activates approximately 44 billion parameters per inference, balancing performance with efficiency. The model supports a 128K token context window, enabling long-document processing and complex multi-turn dialogues. GLM 5 achieves state-of-the-art results on benchmarks including MMLU, BBH, and HumanEval, demonstrating advanced reasoning, coding across 50+ languages, and agentic capabilities for autonomous task execution. Multilingual support covers English, Chinese, and over 15 additional languages. The ecosystem includes Seedream 5.0 for 2K image generation. GLM 5 is accessible via API, chat interfaces, and third-party platforms, with commercial use licenses available through tiered pricing plans.
How does GLM 5 work
GLM 5 operates as a fifth-generation frontier large language model utilizing a Mixture-of-Experts (MoE) architecture. Its core mechanism involves a 78-layer Transformer decoder that activates approximately 44 billion parameters per inference from a total of 745 billion, enhancing computational efficiency. The model supports a 128K token context window for processing extensive inputs and employs Multi-Token Prediction to increase inference throughput. Functionality extends beyond text to include integrated image generation via the Seedream 5.0 model. Access is provided through a web-based chat interface, an OpenAI-compatible API, and third-party platforms, enabling deployment for agentic workflows, code generation, and multilingual tasks.
Benefits of GLM 5
GLM 5 is a fifth-generation frontier large language model featuring 745B total parameters with a Mixture-of-Experts (MoE) architecture, activating ~44B per inference for efficient performance. It achieves state-of-the-art results in reasoning, coding, and agentic AI, supported by a 128K token context for long-document processing. Native multilingual support includes English, Chinese, and over 15 languages. The ecosystem integrates Seedream 5.0 for photorealistic image generation, and Multi-Token Prediction enables 2x faster inference. Available via chat.z.ai or an OpenAI-compatible API, GLM 5 is open-source and licensed for commercial use.
Pros and Cons of GLM 5
Pros
- 745B MoE parameters balance scale and efficiency.
- 128K context enables long-document processing.
- Leading multilingual performance across 15+ languages.
- SOTA benchmarks in coding and reasoning tasks.
- OpenAI-compatible API simplifies integration.
Cons
- No local deployment; fully cloud-dependent.
- Starter tier uses inferior Nano Banana Pro model.
- High credit costs for intensive workflows.
- Image generation relies on separate Seedream model.
- Commercial use requires paid subscription despite open-source core.
