Skip to main content
Sign inSign up

DeepSeek V4 Pro 0423 vs DeepSeek V3.2

V4 against V3.2: the generational jump in DeepSeek's line.

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 V3.2

DeepSeek

DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance.

Provider
DeepSeek
Context window
164K tokens
Input price
3.1 credits / 1M tokens ($0.26 raw)
Output price
4.6 credits / 1M tokens ($0.38 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
  • Long documents: the 164K-token window holds lengthy reports, contracts or papers whole
  • 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 V3.2 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 V3.2?
DeepSeek V3.2 is about 8.4x cheaper on output tokens (4.6 vs 38.4 credits per 1M). DeepSeek V4 Pro 0423 takes noticeably more context: 1.0M vs 164K tokens. DeepSeek V4 Pro 0423 is the newer release (April 2026 vs December 2025).
Is DeepSeek V4 Pro 0423 or DeepSeek V3.2 cheaper?
DeepSeek V3.2 is cheaper: 4.6 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 V3.2?
DeepSeek V4 Pro 0423, at 1.0M tokens against 164K.
Can I use both DeepSeek V4 Pro 0423 and DeepSeek V3.2 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 V3.2 need a paid plan?
Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.

Related comparisons

DeepSeek V4 Pro 0423 detailsDeepSeek V3.2 detailsAll comparisons

Explore Zeplik