Kimi K2.7 Code vs Kimi K2 Thinking
Kimi's coding specialist against its extended-thinking variant.
Figures as of , read live from the model registry Zeplik bills against.
What the numbers say
- Kimi K2 Thinking is about 1.4x cheaper on output tokens (30.0 vs 42.0 credits per 1M).
- Both take the same 262K-token context window.
- Kimi K2.7 Code accepts images; Kimi K2 Thinking is text-only.
- Kimi K2.7 Code is the newer release (June 2026 vs November 2025).
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 K2.7 Code
MoonshotAI
MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts.
- Provider
- MoonshotAI
- Context window
- 262K tokens
- Input price
- 7.2 credits / 1M tokens ($0.60 raw)
- Output price
- 42.0 credits / 1M tokens ($3.50 raw)
- Vision (image input)
- Yes
- Tool calling
- Yes
- Extended reasoning
- No
Best for
- Writing, reviewing and refactoring code; agentic coding workflows
- Long documents: the 262K-token window holds lengthy reports, contracts or papers whole
- 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
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
Try both on Zeplik
The honest answer to most model debates is to run your own prompt on both. Zeplik puts Kimi K2.7 Code and Kimi K2 Thinking in the same chat, so you can switch mid-conversation and compare answers on the work you actually do.
Frequently asked questions
- What is the difference between Kimi K2.7 Code and Kimi K2 Thinking?
- Kimi K2 Thinking is about 1.4x cheaper on output tokens (30.0 vs 42.0 credits per 1M). Both take the same 262K-token context window. Kimi K2.7 Code accepts images; Kimi K2 Thinking is text-only. Kimi K2.7 Code is the newer release (June 2026 vs November 2025).
- Is Kimi K2.7 Code or Kimi K2 Thinking cheaper?
- Kimi K2 Thinking is cheaper: 30.0 credits per million output tokens against 42.0. 1 credit = $0.10, computed from the raw provider rate with a 1.20x margin.
- Which has the larger context window, Kimi K2.7 Code or Kimi K2 Thinking?
- Neither: both take 262K tokens.
- Can I use both Kimi K2.7 Code and Kimi K2 Thinking 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 K2.7 Code and Kimi K2 Thinking need a paid plan?
- Both need a paid plan (Plus or above). Usage is then billed in credits from your monthly allowance.
Related comparisons
- Grok Build 0.1 vs Kimi K2.7 CodeTwo dedicated coding models, xAI's Grok Build against Moonshot's Kimi Code.
- Kimi K2 Thinking vs DeepSeek V4 Pro 0423Kimi's deliberate thinking variant against DeepSeek's flagship reasoner.
- Kimi K2.7 Code vs Codestral 2508Open-weight code specialists from Moonshot and Mistral.
Explore Zeplik
- 468 AI skillsReady-to-run expert methods that run on Kimi K2.7 Code, Kimi K2 Thinking or any other model.
- 997 integrationsConnect Gmail, Slack, GitHub, Notion and hundreds more so the assistant can work in your apps.
- Simple pricingPlus, Pro and Max plans with a monthly credit allowance that works across every model.