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DeepSeek

DeepSeek V4 Pro

DeepSeek V4 Pro is an Alibaba-hosted partner-model route for long-context coding and analytical reasoning. Nfero documents the Token Plan access path without presenting it as a public live demo.

DeepSeekChatReasoningCodingBeta
AvailabilityBeta
AccessToken Plan
RegionSingapore-first
Explore modelConnect this modelDeveloper details

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

Input window1,000,000
Output limit393,216
Developer implementationAPI examples
curl
curl -X POST https://nfero.com/api/models/deepseek-v4-pro/run \
  -H 'content-type: application/json' \
  -d '{"prompt":"Compare Qwen and DeepSeek for a coding workflow in five bullets.","max_tokens":512,"system_prompt":"You are a helpful assistant.","reasoning_effort":"high","thinking_enabled":true}'
JavaScript
await fetch('/api/models/deepseek-v4-pro/run', {
  method: 'POST',
  headers: { 'content-type': 'application/json' },
  body: JSON.stringify({
  "prompt": "Compare Qwen and DeepSeek for a coding workflow in five bullets.",
  "max_tokens": 512,
  "system_prompt": "You are a helpful assistant.",
  "reasoning_effort": "high",
  "thinking_enabled": true
})
});
Python
import requests
requests.post('https://nfero.com/api/models/deepseek-v4-pro/run', json={
  "prompt": "Compare Qwen and DeepSeek for a coding workflow in five bullets.",
  "max_tokens": 512,
  "system_prompt": "You are a helpful assistant.",
  "reasoning_effort": "high",
  "thinking_enabled": true
})