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DeepSeek V4 Pro 0423 vs DeepSeek V4 Flash 0423

DeepSeek's capability tier against its throughput tier in the same generation.

Figures as of , read live from the model registry Zeplik bills against.

What the numbers say

Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.

Side by side

DeepSeek V4 Pro 0423

DeepSeek

DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window.

Provider
DeepSeek
Context window
1.0M tokens
Input price
19.2 credits / 1M tokens ($1.60 raw)
Output price
38.4 credits / 1M tokens ($3.20 raw)
Vision (image input)
No
Tool calling
Yes
Extended reasoning
No

Best for

  • Everyday chat and drafting on an open-weight model with transparent lineage
  • Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

DeepSeek V4 Flash 0423

DeepSeek

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.

Provider
DeepSeek
Context window
1.0M tokens
Input price
1.1 credits / 1M tokens ($0.091 raw)
Output price
2.2 credits / 1M tokens ($0.18 raw)
Vision (image input)
No
Tool calling
Yes
Extended reasoning
No

Best for

  • High-volume everyday tasks where speed and cost matter: summaries, drafts, quick questions
  • Very long documents and codebases: a 1.0M-token window fits entire books or repositories in one conversation
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

Try both on Zeplik

The honest answer to most model debates is to run your own prompt on both. Zeplik puts DeepSeek V4 Pro 0423 and DeepSeek V4 Flash 0423 in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.

Pick a model and ask. Your prompt opens in the Zeplik app with that model selected.

Model to ask

Frequently asked questions

What is the difference between DeepSeek V4 Pro 0423 and DeepSeek V4 Flash 0423?
DeepSeek V4 Flash 0423 is about 18x cheaper on output tokens (2.2 vs 38.4 credits per 1M). DeepSeek V4 Pro 0423 is the newer release (April 2026 vs April 2026).
Is DeepSeek V4 Pro 0423 or DeepSeek V4 Flash 0423 cheaper?
DeepSeek V4 Flash 0423 is cheaper: 2.2 credits per million output tokens against 38.4. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
Which has the larger context window, DeepSeek V4 Pro 0423 or DeepSeek V4 Flash 0423?
DeepSeek V4 Pro 0423, at 1.0M tokens against 1.0M.
Can I use both DeepSeek V4 Pro 0423 and DeepSeek V4 Flash 0423 on Zeplik?
Yes. Zeplik is a multi-model chat, so both sit behind one account and you can switch between them mid-conversation to compare answers on your own prompt.
Do DeepSeek V4 Pro 0423 and DeepSeek V4 Flash 0423 need a paid plan?
One of the two is open to free accounts; the other needs a paid plan (Plus or above).

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