GLM-4 Models by Tsinghua Knowledge Engineering Group (THUDM)

About

The GLM-4 family, developed by Zhipu AI and Tsinghua University, represents an evolving series of large language models renowned for their multilingual capabilities and state-of-the-art performance. Building upon previous ChatGLM generations, these models are pre-trained on an extensive dataset of ten trillion tokens across Chinese, English, and 24 other languages. They undergo rigorous multi-stage post-training, involving supervised fine-tuning and reinforcement learning from human feedback, which enables them to rival or surpass GPT-4 on various benchmarks. The series includes versions like GLM-4, GLM-4-Air, and GLM-4-9B, each tailored for different tasks and resource constraints. A notable feature is the GLM-4 All Tools model that can autonomously use web browsers and Python interpreters for complex task completion. Open-source variants, such as GLM-4-9B and its chat-optimized version, along with multimodal models like GLM-4V-9B, which integrates image processing, highlight the family's versatility. Recent advancements include the GLM-4-Voice model, an end-to-end speech model supporting Chinese and English, further extending the boundaries of open-source LLMs 1 3 5 6 7 8.

Specifications(16 models)

Available From(10 providers)

AWS Bedrock

Bitdeer AI

Cloudflare Workers AI

Fireworks AI

GCP Vertex AI

Novita AI

NVIDIA NIM

OpenRouter+2 more

Pricing

Comparisons

• Claude Opus 4.7 vs GLM-4.6
• Composer 2.5 vs GLM-4.6

Frequently Asked Questions

What is GLM-4 used for?

GLM-4 is used for vision and multimodal work, agent workflows and tool use, and structured outputs. The family description and listed model capabilities point to those workloads as the best fit.

How does GLM-4 compare to ChatGLM-4?

GLM-4 by Tsinghua Knowledge Engineering Group (THUDM) is strongest where you need vision and multimodal work, while ChatGLM-4 by Tsinghua Knowledge Engineering Group (THUDM) is the closest related family to check for adjacent model selection. GLM-4 has 16 listed variants and reaches up to 200k context, while ChatGLM-4 reaches up to 128k context, so compare the specs and pricing tables before choosing a production model.

Which GLM-4 model should I use?

For the lowest listed input price, start with GLM-4V 9B through Replicate API at $0.05/1M input tokens. For the most capable/latest local choice, evaluate GLM 4.7 with 200k context and tool use, function calling, and structured outputs.

Related Model Families

ChatGLM-4

GLM-Z1

CogVLM2

ChatGLM3

GLM

Models(16)