GLM52.pro

GLM 5.2 Review

Updated June 2026. Independent assessment, not sponsored by Z.ai.

Score Breakdown

Coding workflow9/10
Coding Plan and long-context behavior make it useful for multi-file work.
API access9/10
Available through Z.ai direct endpoints and OpenRouter.
Price clarity8/10
OpenRouter lists z-ai/glm-5.2 at $1.20 input and $4.10 output per 1M tokens.
Context window10/10
1M-token context is the headline capability.
Local deployment9/10
Open weights are published as zai-org/GLM-5.2.
Documentation8/10
Z.ai and HuggingFace docs cover the main API and serving paths.

What We Tested

Repository planning

4.5/5
Prompt: Plan a migration for a Next.js site with multiple SEO landing pages.
Strong fit. The 1M context and planning behavior are useful for keeping route, metadata, and copy changes aligned.

OpenCode configuration

4.4/5
Prompt: Configure a coding assistant through an OpenAI-compatible provider.
Strong fit through z-ai/glm-5.2 on OpenRouter or glm-5.2[1m] on the Z.ai coding endpoint.

Local serving

4.1/5
Prompt: Run the model behind a local OpenAI-compatible endpoint.
Good fit when using supported serving stacks such as vLLM, SGLang, or Transformers.

Pros and Cons

Pros
  • 1M-token context for long repository work
  • OpenRouter model ID: z-ai/glm-5.2
  • Direct Z.ai coding endpoint for Coding Plan workflows
  • Open weights at zai-org/GLM-5.2
  • Works with OpenAI-compatible clients
Cons
  • Provider pricing can change, so check live pages before launch
  • Full 1M-context local serving requires serious hardware planning
  • Some ecosystem integrations still lag older provider families
  • Benchmarks are not a substitute for testing your own workload

Verdict

GLM 5.2 is strongest when you need a coding-capable model with 1M-token context, OpenRouter access, direct Z.ai access, and an open local deployment path. It is especially relevant for OpenCode-style workflows and large repository analysis.