Privacy settings

Privacy and GDPR notice

Nfero uses essential storage for language preferences and demo access controls. With your consent, Google Analytics and lightweight usage events help improve model demos and outbound subscription routing. Live demo prompts may be sent to configured Alibaba-hosted model endpoints.

Qwen

Qwen3.8 Max Preview

Qwen3.8 Max Preview is an always-thinking Token Plan model for reasoning, visual understanding and text generation. Nfero explains its preview status, limits and Alibaba access route without claiming a public pay-as-you-go price or live demo.

QwenChatReasoningVision languageBeta
AvailabilityBeta
AccessToken Plan
RegionSingapore-first

Visual demos

Example media slots

Image

Playable example preview

Official example media can be added as model access and asset usage are approved.

Qwen Image sample
Image

Example output

Official example media can be added as model access and asset usage are approved.

Image

Example output

Official example media can be added as model access and asset usage are approved.

Official example media can be added as model access and asset usage are approved.

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

The Individual plan documents qwen3.8-max-preview for reasoning, visual understanding and text generation. It is a preview model, always uses thinking, and is not currently a public Nfero demo.

Model limits

Input window983,616
Output limit131,072
Developer implementationAPI examples
curl
curl -X POST https://nfero.com/api/models/qwen3.8-max-preview/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/qwen3.8-max-preview/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/qwen3.8-max-preview/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
})