Z.ai doubles GLM-5.2 pricing to $65

// 3h agoMODEL RELEASE

Z.ai doubles GLM-5.2 pricing to $65

Z.ai has deployed its GLM-5.2 language model exclusively under a new GLM Coding Pro subscription plan priced at $65 per month, nearly doubling its previous pricing. The model launched without public benchmarks, APIs, or a dedicated chatbot, restricting access solely to the platform's web chat interface.

// ANALYSIS

Charging a steep premium for a model with zero benchmark transparency or API access is a risky move that could alienate developers.

–The near 100% price increase (from under $35 to $65/month) sets a high bar for GLM-5.2's performance capabilities.
–The lack of a public API forces developers to interact with the model manually, limiting its utility in automated or custom developer workflows.
–Launching without public benchmarks makes it difficult to justify the higher cost compared to competing state-of-the-art coding assistants.

// TAGS

glm-5.2z.aimodel-releasepricing-updatecoding-assistantartificial-intelligence

DISCOVERED

3h ago

2026-06-13

PUBLISHED

3h ago

2026-06-13

RELEVANCE

7/ 10

AUTHOR

bridgemindai

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

UPDATE13m ago

Grok Build worktrees spark developer praise

A developer on X praises the fast-paced development of Grok Build, an AI coding tool from xAI, noting that the team has shipped numerous updates recently. They specifically recommend that developers explore the new worktrees feature over the weekend to experience the product's latest capabilities.

OPEN SOURCE26m ago

Mosh is an open-source, model-driven application security testing harness that wraps around LLMs to automate penetration testing through discovery, planning, dockerized execution, and reporting.

Mosh (Model-driven Open Security Harness) is an open-source security testing application designed to automate the work of a security researcher. Instead of relying on raw prompts, the tool implements a multi-step workflow starting with application discovery (mapping routes and technologies), security planning (creating test hypotheses), and controlled test execution through Docker containers using engagement settings. It continuously writes structured reports and memory logs, allowing developers to safely run, review, and reproduce pen-testing results iteratively as vulnerabilities are resolved.

OPEN SOURCE30m ago

Zhipu AI to open-source GLM-5.2 under MIT

Zhipu AI has announced plans to open-source its flagship GLM-5.2 coding model under the permissive MIT license next week. The model features a 1-million-token context window and is currently deployed on Zhipu's GLM Coding Plan.

Z.ai doubles GLM-5.2 pricing to $65