zai-org/GLM-5

Health v2 · maintenance only

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7057 stars · 911 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

GLM-5 is a family of open-weight large language models from Z.ai (Zhipu AI), including the flagship GLM-5.2 with 1M-token context and the multimodal, sparse-attention GLM-5.3-Flash (320B total / 18B active parameters). The repository provides model documentation, technical reports, benchmarks, and links to API services and hosted demos.

Use cases

• run an open-source LLM for agentic coding tasks
• process very long documents with a 1M-token context model
• build AI agents that handle long-horizon engineering work
• serve a cost-efficient multimodal chat model locally
• compare open-weight models against Claude or Gemini on coding benchmarks
• integrate an LLM API into coding assistants and IDE tools

When to choose

• you need a strong open-weight model for coding and agentic workflows
• your workload requires very long context (up to 1M tokens)
• you want multimodal understanding at low inference cost
• you need self-hostable models with an Apache-2.0 license

When to avoid

• you need a small model that runs on consumer hardware without GPUs
• you only need embeddings or retrieval rather than a generative LLM
• you require fine-tuning tooling that this repo does not provide
• you need guaranteed SLA support from a commercial vendor

Facets

library · maturity active

llm-inference machine-learning deep-learning agent-framework prompt-engineering large-language-models artificial-intelligence developer-tools python cloud self-hosted open-weights moe long-context multimodal coding-llm sparse-attention speculative-decoding chat-model ai-agents natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="zai-org/GLM-5")