Kimi K2 Thinking vs DeepSeek V4 Pro
Kimi's deliberate thinking variant against DeepSeek's flagship reasoner.
What the numbers say
- DeepSeek V4 Pro is about 2.9x cheaper on output tokens (9.6 vs 27.5 credits per 1M).
- DeepSeek V4 Pro takes noticeably more context: 1.0M vs 262K tokens.
- DeepSeek V4 Pro is the newer release (April 2026 vs November 2025).
Derived from the live registry Zeplik routes and bills against. Credits: 1 credit = $0.10, raw provider rate with a 1.10x 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. Built on the trillion-parameter Mixture-of-Experts (MoE) architecture introduced in...
- Provider
- MoonshotAI
- Context window
- 262K tokens
- Input price
- 6.6 credits / 1M tokens ($0.60 raw)
- Output price
- 27.5 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
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. It is designed for advanced reasoning, coding,...
- Provider
- DeepSeek
- Context window
- 1.0M tokens
- Input price
- 4.8 credits / 1M tokens ($0.43 raw)
- Output price
- 9.6 credits / 1M tokens ($0.87 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 in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.