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GLM (Z.ai) vs Kimi

GLM (Z.ai)Kimi

Bottom line: GLM (Z.ai) for developers building coding agents; Kimi for individuals wanting a capable free chat assistant.

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

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Free AI chat assistant from Moonshot AI, built for long-context reasoning and open Kimi K2 models

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Votes00
PricingFreemiumFreemium
CategoryChatbotsChatbots
Tags
llmopen-sourcecodingagentic
llmchatbotlong-context
Best for
  • Developers building coding agents
  • Teams wanting an open-source frontier model
  • Cost-sensitive API users
  • Individuals wanting a capable free chat assistant
  • Developers needing affordable long-context LLM access
  • Researchers and analysts working with large documents
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 is largely free with no credit card required
  • Very long context window for large documents and codebases
  • Open-weight Kimi K2 models rival top closed models on coding and math
  • Usage-based API is inexpensive compared with premium closed models
  • Open weights on Hugging Face enable self-hosting and fine-tuning
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
  • No permanent free API tier; a minimum recharge is required to activate
  • English UX, docs, and support can lag Western competitors
  • Data governance may raise concerns for some enterprises given China-based hosting
  • No native team collaboration workspace features
  • Rapid model release cadence can make versions and pricing hard to track

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