# GLM-5.2 API on Boundless

> Z.ai's open-weight model for long coding tasks that run for hours and work with text, served on Boundless.

Page: https://boundless.network/models/glm-5.2

## Price per 1M tokens

| Input | Cached input | Output |
| --- | --- | --- |
| $0.34 | $0.17 | $2.30 |

## GLM-5.2 at a glance

GLM-5.2 is Z.ai's flagship open model for long-horizon tasks. It improves on GLM-5.1 with stronger coding and adjustable thinking effort, so you can trade depth for latency.

Source: https://huggingface.co/zai-org/GLM-5.2

- Developer: Z.ai
- Context window: 1M tokens
- Input: Text
- Capabilities: Reasoning, tool use

## GLM-5.2 API pricing by provider

| Provider | Input | Cached | Output | Context |
| --- | --- | --- | --- | --- |
| Boundless | $0.34 | $0.17 | $2.30 | 1M |
| Z.ai (model creator) | $1.40 | $0.26 | $4.40 | 1M |
| DeepInfra | $0.56 | $0.11 | $1.80 | 1M |
| Baseten | $1.40 | $0.14 | $4.40 | 1M |
| Together | $1.40 | $0.26 | $4.40 | 1M |
| Fireworks | $1.40 | $0.14 | $4.40 | 1M |

Prices per 1M tokens. Source: OpenRouter (https://openrouter.ai/z-ai/glm-5.2)

## Switch with a base URL and a key

1. Get an API key: Sign up in the console and create a key. No sales call. https://inference.boundless.network/api-keys
2. Point your SDK at Boundless: Change the base URL and key. For Anthropic SDKs, drop the /v1 and set max_tokens.

```bash
curl https://api.inference.boundless.network/v1/chat/completions \
  -H "Authorization: Bearer $BOUNDLESS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "glm-5.2",
    "messages": [{
      "content": "Say hello",
      "role": "user"
    }]
  }'
```

More examples: https://inference.boundless.network/docs/quickstart

## FAQ

### How much does GLM-5.2 cost on Boundless?

$0.34 per 1M input tokens, $0.17 per 1M cached input tokens and $2.30 per 1M output tokens, billed from prepaid credits. Every response includes exact token counts, so any charge can be checked against these prices.

### What is GLM-5.2's context window on Boundless?

1M tokens, shared by the prompt and the reply. max_tokens can go up to that limit.

### Does GLM-5.2 support tool calling?

Yes. GLM-5.2 supports tool use and reasoning.

### Can I control how much GLM-5.2 reasons?

Yes. On chat completions, set reasoning_effort to none, low, medium or high, or leave it unset for the model's default. Size max_tokens for both the thinking and the reply.

### What are the rate limits?

Each team has caps on tokens per minute, requests per minute and concurrent requests, shown on the usage page. Cached input doesn't count against them, and support can raise them for your team.

### Does Boundless store my prompts or outputs?

No. Boundless never stores prompts or outputs and never trains on them. It keeps only what billing needs: token counts, model, timestamp and cost.

### Can Boundless help me decide if GLM-5.2 fits my workload?

Yes. We test it against your current model on your own prompts, then tune and run it to your targets.

## Links

- Try it in the playground: https://inference.boundless.network/playground?model=glm-5.2
- Talk to an engineer: https://boundless.network/#get-access
- All models: https://boundless.network/models