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GLM (Z.ai) vs Qwen

GLM (Z.ai)Qwen

Bottom line: GLM (Z.ai) for developers building coding agents; Qwen for developers who want a free, capable coding assistant.

Open-weight frontier LLM family from Z.ai (Zhipu AI), tuned for coding and agents.

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Alibaba's free AI assistant, backed by the open-weight Qwen model family

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Votes00
PricingFreemiumFreemium
CategoryChatbotsChatbots
Tags
llmopen-sourcecodingagentic
llmchatbotopen-source
Best for
  • Developers building coding agents
  • Teams wanting an open-source frontier model
  • Cost-sensitive API users
  • Developers who want a free, capable coding assistant
  • Teams that need to self-host an open LLM
  • Multilingual and translation-heavy workflows
Pros
  • Open weights under permissive MIT license for major releases
  • Strong performance on open-weight coding and agentic benchmarks
  • Free chat access at chat.z.ai
  • Competitive, low API token pricing
  • Self-hosting and commercial use allowed
  • Chat app is fully free with no request limits on most tasks
  • Open weights under Apache 2.0 allow commercial self-hosting
  • Strong multimodal support (text, image, document, audio)
  • Specialized variants for coding, vision, and math
  • Very competitive, low API token pricing
Cons
  • Newest releases may hit coding plans before open weights or API pricing
  • Self-hosting the largest MoE models needs significant hardware
  • Coding Plan works only inside officially supported tools
  • Enterprise features like built-in team collaboration are limited
  • China-based provider may raise data-governance questions for some buyers
  • Owned and governed by Alibaba, a concern for some enterprises
  • Data residency and privacy questions for regulated industries
  • No built-in team collaboration or workspace features
  • Largest flagship models are not always open-weight
  • Rapid version churn can make model selection confusing

Comparison generated from each tool's listing. Add or remove tools above to change it.