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GLM-5.2

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Open-weights coding LLM from Z.ai with a 1M-token context, MIT-licensed.

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Tracked since2026
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The Bottom Line

Entry price

Free plan available, paid tiers above

Biggest pro

Open weights under a permissive MIT license; download, fine-tune, and self-host freely

Biggest con

Running the full 753B model locally needs serious GPU hardware

TL;DR - GLM-5.2

  • Open-weights coding LLM from Z.ai (formerly Zhipu AI), MIT-licensed and free to self-host from Hugging Face.
  • 753 billion parameters with a 1-million-token context window, tuned for long-horizon autonomous coding.
  • Scores 62.1 on SWE-bench Pro, ahead of GPT-5.5 (58.6), at about one-sixth the cost.
Pricing: Free plan available
Best for: Growing teams

What is GLM-5.2?

Editorial review
GLM-5.2 is an open-weights large language model from Z.ai (formerly Zhipu AI), built for long-horizon autonomous coding and engineering. Released under a permissive MIT license with 753 billion parameters and a 1-million-token context window, it can be downloaded from Hugging Face and self-hosted, or used through the Z.ai API and 20+ coding environments. On SWE-bench Pro it scores 62.1, ahead of GPT-5.5 (58.6), at roughly a sixth of the cost. API access is $1.40 per million input tokens and $4.40 per million output tokens, and coding plans start at $12.60 per month.

Pros & Cons

Pros

  • Open weights under a permissive MIT license; download, fine-tune, and self-host freely
  • 1-million-token context window for large codebases and long agent runs
  • Strong coding benchmarks (SWE-bench Pro 62.1, Terminal-Bench 2.1 81.0)
  • Roughly one-sixth the cost of comparable proprietary models
  • Runs in 20+ coding environments plus the Z.ai API

Cons

  • Running the full 753B model locally needs serious GPU hardware
  • The hosted Z.ai API routes data through a China-based provider, a compliance consideration for some teams
  • Newer model with a smaller tooling ecosystem than OpenAI or Anthropic

Key Features

Advanced AI chatbot capabilitiesIntelligent agent functionalityContext-aware conversationsAutomated task executionCustomer interaction enhancement

Pricing Plans

Free Trial

Pricing checked Jun 26, 2026

Free

Free

  • 1 user
  • 1 project
  • 100 MB storage
  • Basic features

Basic

$10 / month

  • 5 users
  • 5 projects
  • 1 GB storage
  • Advanced features

Pro

$25 / month

  • Unlimited users
  • Unlimited projects
  • 10 GB storage
  • All features
  • Priority support

How GLM-5.2's pricing compares

At $10/mo, GLM-5.2 is mid-range of its 3 direct competitors ($9.6 to $20/mo across the set).

GLM-5.2
$10

Entry paid plan, monthly. Pricing checked Jun 26, 2026.

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GLM-5.2 FAQ

What specific large language model powers the Z.ai platform?

Z.ai is powered by advanced large language models, ensuring sophisticated understanding and generation of human-like text for diverse interactions.

How does Z.ai ensure its AI agent provides context-aware responses?

Z.ai's AI agent utilizes its underlying advanced large language model to maintain conversational context across interactions, allowing it to provide relevant and coherent responses based on the ongoing dialogue.

Can Z.ai's agent perform actions beyond just answering questions?

Yes, Z.ai's agent is designed with automated task execution capabilities, allowing it to perform various actions beyond simple question answering, depending on its configuration and integration with other systems.

What kind of businesses would benefit most from implementing Z.ai?

Businesses that experience high volumes of customer inquiries, require 24/7 support, or aim to automate routine customer service tasks will benefit most from implementing Z.ai.

Is Z.ai primarily for external customer support or can it be used for internal applications?

While Z.ai is highly effective for external customer support, its advanced AI agent capabilities also make it suitable for various internal applications, such as HR support, IT help desks, or knowledge base navigation within an organization.

What is the primary benefit of using Z.ai compared to traditional rule-based chatbots?

The primary benefit of using Z.ai over traditional rule-based chatbots is its ability to understand and respond to complex, nuanced queries through its advanced large language model, leading to more natural and effective customer interactions without rigid scripting.

Source: z.ai

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