GLM 5.2

https://z.ai/blog/glm-5.2
https://github.com/zai-org/GLM-5
https://youtu.be/byvxh0SlfEs?is=eOoz7cSOnODOt4oD

Value Proposition & Features

GLM is Z.ai’s family of foundation models for AI research and applications, exposed through APIs, coding tools, chat products, and agent-oriented software. [E1] GLM-5.2 is positioned for open-source software engineering, supporting the full workflow from code generation through delivery, with English and Chinese language support and a 1-million-token context window. [zo60iq]
  • Long-context coding: 1-million-token context window for large repositories and lengthy specifications. [zo60iq]
  • End-to-end software development: Supports coding tasks from generation to delivery. [zo60iq]
  • Multilingual use: English and Chinese support. [zo60iq]
  • API access: Available through Z.ai’s standard model API with input, cached-input, and output billing. [095p5v]
  • Coding plans: GLM-powered coding plans provide access to agent tools for coding and office-work tasks. [a7x0z9]
  • Agent integrations: GLM-5.2 powers AutoClaw’s Auto Design workflow for converting product requirements into app and web interfaces. [v4amnx]
  • Broader ecosystem: Z.ai offers GLM-powered chat, ZCode, API tooling, and other products. [E1]

Recent Developments

AutoClaw V1.9.0 introduced GLM-5.2 into an Auto Design workflow that turns complex product requirements into complete application and web-interface designs. [v4amnx] The model is listed with a 1-million-token context window and an emphasis on open-source coding performance. [zo60iq]

History and Origin Story

GLM is developed and commercialized by Z.ai as part of its foundation-model portfolio for AI research and applications. [E1] The available results identify Z.ai as the operating organization but do not provide a reliable founding date, founder list, or detailed GLM origin timeline.

Market Sizing

Category, Market Size, and Category Growth

GLM fits the category of foundation models and developer-focused generative-AI tooling, particularly long-context coding models. [E1] No reliable market-size or category-growth estimate specific to GLM was found in the available results.

Pricing

Offering Price
GLM-5.2 API input $1.40 per 1 million tokens [095p5v]
GLM-5.2 API cached input $0.26 per 1 million tokens [095p5v]
GLM-5.2 API output $4.40 per 1 million tokens [095p5v]
GLM-powered coding plan Starting at $18 per month [dkype3]
Z.ai also publishes separate pricing for GLM-powered products and plans, including coding-oriented subscriptions and usage-based APIs. [095p5v] [dkype3]

Revenue Trajectory Estimates

No reliable GLM-specific revenue or ARR estimate was found. The available retrieved material reports organizational metadata for Z.ai, but it does not establish revenue attributable to GLM alone.

Competitive Landscape

Who it's for, who it's not for

GLM-5.2 is aimed at developers and teams building software with long-context code understanding, multilingual support, API access, and agent workflows. [zo60iq] It is not a clearly documented fit for buyers seeking a standalone enterprise software suite, a verified GLM-specific revenue product, or a public roadmap with detailed delivery commitments.

Viable Alternatives

  • OpenAI coding models: Alternative hosted models for software development and API-based agent workflows.
  • Anthropic Claude: Alternative long-context assistant and coding platform.
  • Google Gemini: Alternative multimodal and long-context model family.
  • DeepSeek: Alternative developer-focused model provider with open-model distribution.
  • Mistral: Alternative European model provider offering hosted and open-weight models.

Competitor Table

Competitor Description
OpenAI Hosted foundation models and coding-oriented developer tools.
Anthropic Claude models focused on reasoning, long-context work, and coding.
Google Gemini Multimodal model family with developer APIs and enterprise integrations.
DeepSeek Developer-oriented model provider with open-model and API offerings.
Mistral AI Hosted and open-weight language models for enterprise and developer use.

Sources

[095p5v] 2026, Oct 21. docs.z.ai . Pricing - Overview - Z.AI DEVELOPER DOCUMENT . Updated: 2026, Nov 01. Generated: 2026, Nov 06. Perplexity API response.

[dkype3] 2026, Nov 02. docs.z.ai . Overview - Overview - Z.AI DEVELOPER DOCUMENT . Updated: 2026, Nov 04. Generated: 2026, Nov 06. Perplexity API response. [3]: 2026, Oct 09. docs.z.ai . Plan Update Announcement - Overview - Z.AI DEVELOPER DOCUMENT . Updated: 2026, Oct 31. Generated: 2026, Nov 06. Perplexity API response. [4]: 2026, Oct 16. docs.z.ai . Team Plan Benefits - Overview - Z.AI DEVELOPER DOCUMENT . Updated: 2026, Nov 05. Generated: 2026, Nov 06. Perplexity API response. [5]: 2026, Nov 02. docs.z.ai . FAQ - Overview - Z.AI DEVELOPER DOCUMENT . Updated: 2026, Nov 01. Generated: 2026, Nov 06. Perplexity API response.

[zo60iq] 2026, Nov 02. docs.z.ai . Overview - Overview - Z.AI DEVELOPER DOCUMENT . Generated: 2026, Nov 06. Perplexity API response.

[v4amnx] 2026, Nov 03. autoclaw.z.ai . How to Schedule AI Tasks with AutoClaw | AutoClaw Blog . Updated: 2026, Nov 05. Generated: 2026, Nov 06. Perplexity API response. [8]: 2026, Oct 16. docs.z.ai . API Key Management Guide - Overview . Updated: 2026, Oct 21. Generated: 2026, Nov 06. Perplexity API response. [9]: 2026, Nov 02. autoclaw.z.ai . How to Turn a Product Brief into an Editable UI with AutoClaw . Updated: 2026, Nov 05. Generated: 2026, Nov 06. Perplexity API response.

[a7x0z9] 2026, Nov 02. docs.z.ai . Usage Policy - Overview - Z.AI DEVELOPER DOCUMENT . Updated: 2026, Oct 28. Generated: 2026, Nov 06. Perplexity API response.

Sources (retrieved)

[E1] z.ai . Z.ai . Generated: 2026, Nov 06. Exa.ai API response.

[E2] startup.z.ai . Z.ai for Startups . Generated: 2026, Nov 06. Exa.ai API response.

[E3] autoclaw.z.ai . AutoClaw . Generated: 2026, Nov 06. Exa.ai API response.