glm52.site
3.0GLM 5.2 Playground, API Access & Coding Model Evaluation
About
GLM 5.2 is an advanced AI model built for coding, software engineering, and long-context reasoning. With a 1M-token context window, strong benchmark performance, and browser-based playground access, it helps developers build, debug, and ship software more efficiently. Rather than forcing you to chop projects into small fragments, GLM 5.2 is designed to keep large volumes of code, documentation, and task context in view at once, making it easier to reason about how individual changes fit into the larger structure of a codebase.
Key Features
Pricing & Fees
- Pricing: Monthly plans are Starter at $9.9 (9,900 credits), Pro at $29 (30,000 credits), Business at $79 (85,000 credits), and Team at $149 (160,000 credits); prepaid top-ups from $5 for 5,000 credits up to $100 for 108,000 credits.
- Free credits: New registrations get a 200-credit bonus (valid 30 days), and daily logins add 20 credits (valid 7 days, stacked up to 7 days); playground runs cost a minimum of 10 credits plus per-token billing.
- Credit rules: Monthly subscription credits roll over for up to 60 days, and prepaid top-ups can be added at any time for extra capacity.
- API access: The site is a third-party hub; API key access is prepared for paid plans but only activates after the official API launch, with rate limits applying afterward.
- Playground: The online playground requires login, streams output server-side, and supports the model's 1M-token context for coding and long-context evaluation.
Who It's For
GLM 5.2 combines long-context understanding, real-world coding performance, and developer-focused workflows in a single platform. Whether you're evaluating AI models — comparing benchmark results and testing behavior hands-on in the live playground — or integrating AI into production systems through the OpenAI-compatible API, GLM 5.2 provides a practical environment for serious engineering work. It suits developers who need to move fluidly between quick experiments and sustained, multi-step tasks, and who want a single model that handles both deep codebase reasoning and the day-to-day work of building, debugging, and shipping software.