We route our coding agents to the GLM 5.2 API through RouterBase — strong code generation at a price that keeps our margins healthy.
The GLM 5.2 API is Z.ai's flagship GLM model — a frontier LLM for advanced reasoning, coding, and agentic workflows, with native tool calling, structured outputs, and a long context window. The GLM 5.2 API is OpenAI-compatible: point any existing SDK at RouterBase and set the model to glm-5-2. Input at $1.33 / 1M tokens, output at $4.18 / 1M tokens, cached-input reads at $0.247 / 1M — 5% below the official rate, all through one REST endpoint.
GLM 5.2 API: Chat
Use the GLM 5.2 API to run Z.ai's flagship GLM model — advanced reasoning, coding, and agentic workflows with native tool calling.
The GLM 5.2 API is Z.ai's flagship GLM model — a frontier large language model built for advanced reasoning, coding, and agentic workflows, with native tool calling, structured outputs, and a long context window. Routed through RouterBase, the GLM 5.2 API is fully OpenAI-compatible: point any existing SDK at RouterBase's base URL, set the model to glm-5-2, and your first GLM 5.2 API call goes through immediately.
Pricing for the GLM 5.2 API is $1.33 / 1M input tokens, $4.18 / 1M output tokens, and $0.247 / 1M cached-input reads — 5% below the official published rate. One RouterBase key reaches the GLM 5.2 API and 200+ other models — no Z.ai account required.
Six reasons teams ship on the GLM 5.2 API
From flagship reasoning to 5%-off pricing — what makes the GLM 5.2 API stand out.
Flagship GLM reasoning
The GLM 5.2 API is Z.ai's most capable GLM model — strong reasoning, math, and analysis for the hardest problems your product can throw at it.
Built for code
The GLM 5.2 API handles multi-file code generation, refactoring, and debugging — a strong choice for coding agents and developer tools.
Native tool calling
The GLM 5.2 API supports function / tool calling out of the box — wire it into agents and let it call your tools in the OpenAI format.
Long context window
The GLM 5.2 API accepts long inputs — fit long documents, multi-file codebases, or full conversation history into a single call.
OpenAI-compatible, one key
The GLM 5.2 API speaks the OpenAI chat-completions format; the same RouterBase key also routes to GPT-5.5, Claude, Gemini, and 200+ other models.
5% below official
The GLM 5.2 API is priced 5% under Z.ai's published rate — $1.33 / 1M input, $4.18 / 1M output. Pay only for the tokens you use.

Get started with the GLM 5.2 API in 3 steps
From sign-up to your first response in under 5 minutes.
Create a RouterBase API key
Sign up and generate an API key — one key reaches the GLM 5.2 API and every other model in the catalog.
Send your first message
Point any OpenAI-compatible SDK at routerbase.com/v1 and set the model to glm-5-2. The GLM 5.2 API response follows the standard chat-completions schema — streaming and tool use supported.
Inspect usage
Every GLM 5.2 API response includes a detailed token breakdown — input, output, and cached-input tokens — so cost and cache-hit rate are visible on every call.
Pay only for what you use
RouterBase passes through partner-tier pricing. Compared against the model's official published API rate.
What teams build with the GLM 5.2 API
Real production loads running on the RouterBase model catalog across 200+ models.
We swapped three providers through RouterBase in one line of code when OpenAI had its outage. Our users never noticed.
Tool calling on the GLM 5.2 API dropped straight into our existing agent framework — no custom adapter, same OpenAI format.
RouterBase puts 200+ models behind one key. We A/B the GLM 5.2 API against GPT and Claude without touching our integration.
Cached-input pricing on the GLM 5.2 API cut our RAG bill noticeably — long system prompts stopped being the expensive part.
We pointed our OpenAI SDK at RouterBase with one base-URL swap and the GLM 5.2 API just worked.
Frequently Asked Questions
Common questions about the GLM 5.2 API.
The GLM 5.2 API is RouterBase's pass-through to Z.ai's GLM-5.2 — Z.ai's flagship GLM model for reasoning, coding, and agentic work, served via an OpenAI-compatible REST interface with native tool calling and structured outputs.