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MiniMax M3 vs DeepSeek V4 Pro 0423

MiniMax's M3 against the open-weight benchmark everyone measures by.

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

MiniMax M3

MiniMax

MiniMax-M3 is a multimodal foundation model from MiniMax.

Provider
MiniMax
Context window
524K tokens
Input price
3.6 credits / 1M tokens ($0.30 raw)
Output price
14.4 credits / 1M tokens ($1.20 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 524K-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 MiniMax M3 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 MiniMax M3 and DeepSeek V4 Pro 0423?
MiniMax M3 is about 2.7x cheaper on output tokens (14.4 vs 38.4 credits per 1M). DeepSeek V4 Pro 0423 takes noticeably more context: 1.0M vs 524K tokens. MiniMax M3 accepts images; DeepSeek V4 Pro 0423 is text-only. MiniMax M3 is the newer release (May 2026 vs April 2026).
Is MiniMax M3 or DeepSeek V4 Pro 0423 cheaper?
MiniMax M3 is cheaper: 14.4 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, MiniMax M3 or DeepSeek V4 Pro 0423?
DeepSeek V4 Pro 0423, at 1.0M tokens against 524K.
Can I use both MiniMax M3 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 MiniMax M3 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

MiniMax M3 detailsDeepSeek V4 Pro 0423 detailsAll comparisons

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