GLM-5.2
Z.ai's open-weight model for long coding tasks that run for hours and work with text, served on Boundless.
Pricing
GLM-5.2 API pricing by provider
| Provider | Input | Cached | Output | Context |
|---|---|---|---|---|
| Boundless | $0.34 | $0.17 | $2.30 | 1M |
| Z.aiModel 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
About the model
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.
From Z.ai's model card- Developer
- Z.ai
- Context window
- 1M tokens
- Input
- Text
- Capabilities
- Reasoning, tool use
Tailored inference
Want GLM-5.2 tuned to your workload?
Our engineers benchmark it against your current model, tune how it's served for your traffic, and run it to your cost, latency and quality targets.
Talk to an engineerRun it
Switch with a base URL and a key
- 01
- 02
Point your SDK at Boundless
Change the base URL and key. For Anthropic SDKs, drop the /v1 and set max_tokens.
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"
}]
}'
FAQ
Questions before you commit
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.
More models
