ChinaModelAPI

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DeepSeekAPIOpen Weights
2026-07-27 · Model Watch

DeepSeek-V4-Pro for API Builders: What Replaced V3.2

If your prompts or dashboards still say DeepSeek-V3.2 as the “current” general model, update them. The production flagship family is V4.

Direct answer

DeepSeek-V4-Pro (~1.6T MoE / 49B active, 1M context) is the quality tier; V4-Flash is the volume tier. Typical API IDs: deepseek-v4-pro, deepseek-v4-flash. DeepSeek-R1 remains relevant for pure reasoning.

Why it matters vs GPT-5.6 Sol / Claude Opus 5

Closed US flagships still win many raw leaderboards, but V4-Pro is repeatedly chosen for agentic coding cost/performance and self-host options. For ChinaModelAPI users, the practical win is: same OpenAI SDK, lower token bills, optional on-prem later.

Migration checklist

  1. Swap model string → deepseek-v4-pro (or flash)
  2. Re-run your 20–50 prompt eval set (do not trust marketing alone)
  3. Cap max context in product code — 1M is powerful and expensive
  4. Keep R1 only for hard reasoning routes
from openai import OpenAI
client = OpenAI(api_key="...", base_url="https://api.chinamodelapi.com/v1")
client.chat.completions.create(model="deepseek-v4-pro", messages=[...])

Related on this site

DeepSeek API guide · R1 guide · Comparison table

FAQ

Is V3.2 deprecated?

Treat V4 as the default flagship. Legacy IDs may still work during migration windows — confirm in your dashboard.

Pro vs Flash?

Pro for quality agents/coding; Flash for high-QPS cheap tasks.