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Kimi K2 Thinking vs DeepSeek V4 Pro 0423

Kimi's deliberate thinking variant against DeepSeek's flagship reasoner.

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

Kimi K2 Thinking

MoonshotAI

Kimi K2 Thinking is Moonshot AI’s most advanced open reasoning model to date, extending the K2 series into agentic, long-horizon reasoning.

Provider
MoonshotAI
Context window
262K tokens
Input price
7.2 credits / 1M tokens ($0.60 raw)
Output price
30.0 credits / 1M tokens ($2.50 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 262K-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

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 Kimi K2 Thinking 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 Kimi K2 Thinking and DeepSeek V4 Pro 0423?
Kimi K2 Thinking is about 1.3x cheaper on output tokens (30.0 vs 38.4 credits per 1M). DeepSeek V4 Pro 0423 takes noticeably more context: 1.0M vs 262K tokens. DeepSeek V4 Pro 0423 is the newer release (April 2026 vs November 2025).
Is Kimi K2 Thinking or DeepSeek V4 Pro 0423 cheaper?
Kimi K2 Thinking is cheaper: 30.0 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, Kimi K2 Thinking or DeepSeek V4 Pro 0423?
DeepSeek V4 Pro 0423, at 1.0M tokens against 262K.
Can I use both Kimi K2 Thinking 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 Kimi K2 Thinking 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

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