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GLM

GLM 5

GLM 5 is the baseline GLM route in the Token Plan model set. Nfero keeps it available for teams comparing Zhipu AI options across tool and agent workflows.

GLMChatReasoningDemo preview
AvailabilityDemo preview
AccessToken Plan
RegionSingapore-first

Model playbook

What teams use it for

Developer workflow

Build with code

Ask for implementation plans, API adapters, bug fixes, and review notes before handing work to a developer.

Business reasoning

Explain decisions

Turn product notes, vendor docs, and pricing details into concise recommendations for a buyer or customer team.

Model selection

Choose the right route

Compare model families by latency, capability, cost, and deployment fit before opening a live demo.

Live prompt

Explore this model

Example-only preview

Explore settings and estimates while live access is prepared.

Advanced controls

Use the settings and estimates to plan this model workflow.

Model answer

Result

Model answer
Your model answer will appear here after the demo runs.

Estimated cost

Estimate shown; confirm final terms in Alibaba Cloud.

Unpriced usageConfirm in Alibaba Cloud
Usage, access, and limitsTerms apply

Usage terms

Terms apply. Confirm usage terms in the customer's Alibaba agreement before production launch.

Hosted access

This route is ready for discovery, pricing estimates, and input planning while live access is prepared.

Model limits

Confirm final limits in Alibaba Cloud before production use.

Developer implementationAPI examples
curl
curl -X POST https://nfero.com/api/models/glm-5/run \
  -H 'content-type: application/json' \
  -d '{"system_prompt":"You are a precise, helpful assistant.","prompt":"Explain why Singapore-region inference matters for a public AI demo.","temperature":0.7,"top_p":0.8,"max_tokens":512,"stream":false,"json_mode":false}'
JavaScript
await fetch('/api/models/glm-5/run', {
  method: 'POST',
  headers: { 'content-type': 'application/json' },
  body: JSON.stringify({
  "system_prompt": "You are a precise, helpful assistant.",
  "prompt": "Explain why Singapore-region inference matters for a public AI demo.",
  "temperature": 0.7,
  "top_p": 0.8,
  "max_tokens": 512,
  "stream": false,
  "json_mode": false
})
});
Python
import requests
requests.post('https://nfero.com/api/models/glm-5/run', json={
  "system_prompt": "You are a precise, helpful assistant.",
  "prompt": "Explain why Singapore-region inference matters for a public AI demo.",
  "temperature": 0.7,
  "top_p": 0.8,
  "max_tokens": 512,
  "stream": false,
  "json_mode": false
})