GLM 5.2 OpenRouter API Guide

If you’re searching for the GLM 5.2 OpenRouter API, you probably want to know the correct model ID, current pricing, context window, and the easiest way to integrate GLM 5.2 into your application.

The short answer:

• OpenRouter model ID: z-ai/glm-5.2
• Context window: 1M tokens
• OpenRouter pricing: from $0.50/M input and $3.15/M output
• Tool calling: supported

But OpenRouter isn’t the only way to use GLM 5.2. If you’re already working with multiple AI models, you can also access GLM 5.2 through a unified API gateway such as TokenHub.

GLM 5.2 OpenRouter Model ID

The GLM 5.2 model ID on OpenRouter is:

z-ai/glm-5.2

OpenRouter lists GLM 5.2 as a text reasoning model with a 1,048,576-token context window and up to 131,072 output tokens. It also supports tool calling and structured outputs.

A typical OpenRouter request therefore uses:

{
  "model": "z-ai/glm-5.2",
  "messages": [
    {
      "role": "user",
      "content": "Review this code and identify possible bugs."
    }
  ]
}

GLM 5.2 Pricing per Million Tokens

OpenRouter currently lists GLM 5.2 starting at:

Usage	Price per 1M Tokens
Input	$0.50
Output	$3.15
Cache Read	$0.115

These are current headline prices and may vary depending on the inference provider selected by OpenRouter.

For example, a request workload using 5 million input tokens and 1 million output tokens would cost approximately:

5 × $0.50 + 1 × $3.15 = $5.65

before caching or provider-specific pricing differences.

What Is GLM 5.2 Good For?

GLM 5.2 is designed primarily for long-horizon reasoning and engineering tasks rather than simple chat.

Its 1M-token context window is particularly useful for:

• Large codebase analysis
• Repository-level development
• Long technical documents
• Coding agents
• Multi-step automation
• Tool-using AI agents
• Long-running engineering tasks

Because the model supports tool calling, it can also be used in workflows where an AI agent needs to call APIs, search databases, execute actions, or interact with external systems.

Do You Need OpenRouter to Use GLM 5.2?

No.

OpenRouter is one way to access GLM 5.2, but developers can also use direct model providers or other multi-model API gateways.

This becomes important when your application uses more than one model.

For example, you might use:

• GLM for long-context coding
• DeepSeek for reasoning
• Qwen for another workload
• Claude or GPT for specific production tasks

Managing separate API keys, endpoints, billing systems, and SDK configurations for every provider can quickly become inconvenient.

That’s where a unified API gateway can help.

Using GLM 5.2 with TokenHub

TokenHub provides an OpenAI-compatible API gateway, allowing developers to keep the same SDK and API structure while changing the model they want to use.

GLM 5.2 is available on TokenHub under:

glm-5.2

TokenHub currently lists the model with a 1M-token context window and approximately 131K maximum output tokens.

The OpenAI-compatible Base URL is:

https://us-api.tokenhub.com/v1

So if you already use the OpenAI SDK, integration looks like this:

from openai import OpenAI

client = OpenAI(
    base_url="https://us-api.tokenhub.com/v1",
    api_key="YOUR_TOKENHUB_API_KEY"
)

response = client.chat.completions.create(
    model="glm-5.2",
    messages=[
        {
            "role": "user",
            "content": "Analyze this repository architecture."
        }
    ]
)

print(response.choices[0].message.content)

TokenHub documents the same OpenAI-compatible Base URL for supported models and integrations.

OpenRouter vs TokenHub for GLM 5.2

Both platforms can make it easier to access models without integrating directly with every original provider.

The better choice depends on what you’re building.

If you’re already deeply integrated with OpenRouter, using z-ai/glm-5.2 may be the simplest option.

If you’re looking for a gateway where you can access and compare different model families through a single API structure, TokenHub is another option.

With TokenHub, you can keep:

• One API key
• One OpenAI-compatible Base URL
• One SDK integration

and switch supported models primarily by changing the model ID.

This can be useful when benchmarking GLM against models from DeepSeek, Qwen, Kimi, MiniMax, OpenAI, Anthropic, or Google.

GLM 5.2 Free API Options

OpenRouter currently also lists a free GLM 5.2 endpoint:

z-ai/glm-5.2:free

However, the free endpoint has different limits. OpenRouter currently shows a 256K context window for this version rather than the full 1M context available on the standard endpoint, and free endpoints are rate limited.

That makes the free endpoint useful for testing, but developers should evaluate a paid API endpoint for production workloads where availability, context size, and stable throughput matter.

Which GLM 5.2 API Should You Choose?

For quick experimentation, a free or existing OpenRouter endpoint may be enough.

For production use, consider more than just the lowest token price.

Look at:

• API compatibility
• Model availability
• Context limits
• Rate limits
• Provider stability
• Tool calling support
• Switching costs
• Billing and usage management

If your application is likely to use several models, designing around a unified gateway early can make future model changes much easier.

Final Thoughts

The key information for the GLM 5.2 OpenRouter API is simple:

OpenRouter model ID

z-ai/glm-5.2

Context window

1M tokens

Starting OpenRouter price

$0.50/M input
$3.15/M output

GLM 5.2 is especially attractive for long-context coding, agents, and complex engineering tasks.

But you don’t have to build your application around a single API provider.

If you want to use GLM 5.2 alongside other leading AI models, TokenHub provides a unified OpenAI-compatible API gateway, so you can test and switch between supported models without rebuilding your integration.

Explore GLM 5.2 and other models at TokenHub.