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Gemini 3.1 Pro Preview vs DeepSeek V4 Pro 0423

Google's flagship against the open-weight model that matches much of it at open pricing.

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

Gemini 3.1 Pro Preview

Google

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows.

Provider
Google
Context window
1.0M tokens
Input price
24.0 credits / 1M tokens ($2.00 raw)
Output price
144 credits / 1M tokens ($12.00 raw)
Vision (image input)
Yes
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
  • Working with images: screenshots, charts, photos and scanned documents alongside text
  • Tool use and agents: reliably calls functions, so it can search, run skills and drive workflows

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

Try both on Zeplik

The honest answer to most model debates is to run your own prompt on both. Zeplik puts Gemini 3.1 Pro Preview and DeepSeek V4 Pro 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 Gemini 3.1 Pro Preview and DeepSeek V4 Pro 0423?
DeepSeek V4 Pro 0423 is about 3.8x cheaper on output tokens (38.4 vs 144 credits per 1M). Both take the same 1.0M-token context window. Gemini 3.1 Pro Preview accepts images; DeepSeek V4 Pro 0423 is text-only. DeepSeek V4 Pro 0423 is the newer release (April 2026 vs February 2026).
Is Gemini 3.1 Pro Preview or DeepSeek V4 Pro 0423 cheaper?
DeepSeek V4 Pro 0423 is cheaper: 38.4 credits per million output tokens against 144. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
Which has the larger context window, Gemini 3.1 Pro Preview or DeepSeek V4 Pro 0423?
Neither: both take 1.0M tokens.
Can I use both Gemini 3.1 Pro Preview and DeepSeek V4 Pro 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 Gemini 3.1 Pro Preview and DeepSeek V4 Pro 0423 need a paid plan?
Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.

Related comparisons

Gemini 3.1 Pro Preview detailsDeepSeek V4 Pro 0423 detailsAll comparisons

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