DeepSeek V4 Release: Choosing Between Pro and Flash and Connecting the API

Which two models were released?

DeepSeek V4 introduced two models: V4 Pro and V4 Flash.

V4 Pro – flagship version, suited for knowledge‑intensive tasks, complex reasoning, and various agent scenarios.

V4 Flash – high‑efficiency version, more cost‑friendly; with enough thinking budget it can approach Pro performance.

Both models support roughly one‑million token context, have open weights, and provide API services.

How to choose?

If you need the highest capability ceiling, pick V4 Pro.

If you prioritize cost‑performance and speed, pick V4 Flash.

For code agents, long‑context tasks, and complex reasoning, start with V4 Pro.

For batch processing, lightweight or cost‑sensitive tasks, start with V4 Flash.

Don’t jump to flashy demos

Many demos look impressive but may not reflect real‑world workflow performance; the author suggests looking at the consumption multiplier in Qoder as a rough indicator—higher capability usually means higher cost.

Model suitability varies by task; a top leaderboard score does not guarantee the best fit for a specific use case. Test the model with your own typical queries for a more reliable assessment.

Appreciation of DeepSeek’s restrained release

The announcement is objective: V4‑Pro reaches the current open‑source state‑of‑the‑art level, surpasses Sonnet 4.5, and approaches Opus 4.6 non‑thinking mode, though it still lags behind Opus 4.6 thinking mode.

DeepSeek V4 fully supports domestic chips, makes 1 M context a standard feature, and opens model weights, which is a significant contribution.

How to integrate DeepSeek V4

Top up on the DeepSeek platform: https://platform.deepseek.com/top_up Create an API key in the platform.

Check the official pricing page: https://api-docs.deepseek.com/zh-cn/quick_start/pricing/. As of 2026‑04‑25, V4‑Pro has a limited 2.5× discount until 2026‑05‑05 23:59.

Use the OpenAI‑compatible endpoint https://api.deepseek.com or the Anthropic‑compatible endpoint https://api.deepseek.com/anthropic in your tools.

For tools such as Claude Code, Codex, Gemini CLI, OpenCode, OpenClaw, Hermes, manage the service with cc-switch (GitHub release: https://github.com/farion1231/cc-switch/releases), add DeepSeek as a provider, fill in the model name and API information, then select DeepSeek in the UI.

Other software follows the same pattern: configure the API key, base URL, and model name.

Conclusion

DeepSeek V4 makes one‑million‑token context and open weights mainstream. Whether it is the best fit for your work depends on testing with real tasks rather than relying on leaderboards or flashy demos.

For individual users without a coding plan, large‑model API usage remains costly; the author hopes future price reductions will make AI more accessible for life, work, and learning.