Kimi K2 in Maple AI: Open Reasoning That Competes with ChatGPT and Claude

Kimi K2 logo and Maple AI logo. Frontier thinking, zero data tracking.

A new form of thinking, reasoning, and coding has come to Maple. Kimi K2 Thinking is now available in Maple’s confidential AI system. Kimi K2 is one of the top open models and even outperforms closed, proprietary models in some categories. Best part is that we give it to you with end-to-end encryption, so you can use the most powerful open model on your personal and company data without anyone accessing it, not even us.

Kimi K2 Thinking, GPT-5, Grok 4, Sonnet 4.5. Source: https://moonshotai.github.io/Kimi-K2/thinking.html

What Makes K2 Thinking Different: Mixture of Experts

Most AI models generate responses in a single pass. K2 Thinking can execute 200-300 sequential tool calls without human intervention, reasoning coherently across hundreds of steps to solve complex problems.

Kimi K2 Thinking uses a Mixture of Experts (MoE) architecture that is fundamentally different from a dense model approach found in models like DeepSeek R1. With 1 trillion total parameters but only 32 billion active per chat, K2 intelligently activates only the most relevant expert pathways for each task.

Diagram showing Dense model vs Mixture of Experts. Dense has all types active and the other only activates domain knowledge that is needed.

MoE selectively engages specialized “expert” sub-networks based on the specific task at hand. For example, you only need a flight dynamics expert while researching airplane designs, not while debugging a plumbing problem in your house. With this approach, Kimi K2 uses less power while targeting more specialized knowledge.

This means it can:

  • Decompose a PhD-level mathematics problem into multiple interleaved reasoning calls
  • Conduct research across the web, verifying sources and synthesizing findings
  • Build complete software applications, handling multi-file architectures and debugging
  • Analyze lengthy legal contracts while cross-referencing regulatory databases

All of this happens inside Maple’s confidential computing environment, where your data is encrypted before it leaves your device and stays encrypted throughout processing.

Are Open Models as Good as the Big Brands?

This is a question we hear constantly. The answer is a resounding yes.

Kimi K2 Thinking, OpenAI GPT-5, Claude Sonnet 4.5. Source: https://moonshotai.github.io/Kimi-K2/thinking.html

Kimi K2 Thinking isn’t just another open source model. It’s a thinking agent that reasons step by step while using tools, achieving state-of-the-art performance across benchmarks that matter.

Performance That Speaks for Itself
On Humanity’s Last Exam (HLE), a rigorous benchmark of expert-level questions across 100+ subjects, Kimi K2 Thinking scores 44.9% with tools. That’s higher than GPT 5 and Claude Sonnet 4.5.

Humanity's Last Exam

  • Kimi K2 Thinking: 44.9%
  • GPT-5: 41.7%
  • Claude Sonnet 4.5: 32%

On BrowseComp, which tests agentic search and browsing capabilities, K2 Thinking hits 60.2%, more than double the human baseline of 29.2% and significantly ahead of GPT 5’s 54.9%.

For coding tasks, the results are equally impressive:

  • SWE Bench Verified: 71.3%
  • SWE Multilingual: 61.1%
  • LiveCodeBench V6: 83.1%
  • AIME 2025 (math competitions): 94.5% without tools, 99.1% with Python

These aren’t cherry-picked stats. Across reasoning, coding, and agentic search, Kimi K2 Thinking matches or exceeds the capabilities of the most advanced proprietary models, while remaining fully open source.

Privacy Powers Reasoning

With Kimi K2 in Maple, you’re getting frontier-level AI capability without the privacy trade-offs that come with proprietary services.

With Maple’s end-to-end encryption and confidential computing infrastructure:

  • Your prompts and data are encrypted on your device using a private key for your account
  • Processing happens inside secure enclaves (AWS Nitro Enclaves and NVIDIA TEEs)
  • Zero data retention means your conversations never train future models
  • Cryptographic attestation proves that the code running is exactly what we publish as open-source

You don’t have to choose between powerful AI and data privacy. Maple gives you both.

Putting K2 to Work

For Researchers: Conduct literature reviews that span hundreds of papers, analyze datasets with transparent methodology, and generate research summaries without risking intellectual property leaks.

For Professionals: Therapists can analyze session patterns across hundreds of notes. Lawyers can draft complex arguments referencing multiple case files. Financial analysts can model scenarios using sensitive client data, all with cryptographic privacy guarantees.

For Developers: Tackle complex coding challenges that require multi-step reasoning. Debug across codebases, generate comprehensive tests, or build entire features with the confidence that your proprietary code remains entirely yours.

CTA Image

Maple Proxy provides API access to Kimi K2. Get encrypted reasoning capabilities through an OpenAI-compatible interface.

High Performance is Available Now

Kimi K2 Thinking is now available to all Maple Pro, Max, and Team subscribers. The model operates with a 256K context window, allowing for extensive conversations and document analysis.

We've made important changes to our reasoning model lineup. DeepSeek R1 is now the default reasoning model in Maple. To activate Kimi K2 Thinking’s advanced capabilities, click the Brain icon. (Farewell to DeepSeek v3.1 Terminus, our previous default reasoning model. Thank you for your service.)

How to Get Started

  1. Open Maple on web, desktop, iOS, or Android
  2. Start a new chat
  3. Select “Reasoning” from the model selector
  4. Click the Brain icon to enable Kimi K2 Thinking
  5. Begin your first reasoning-powered conversation

No complex setup. Just select and start chatting, with the same privacy guarantees that define every Maple interaction.

The Future of Private AI

Kimi K2 Thinking represents more than a new model. It’s proof that the open-source community can build AI that rivals and even surpasses proprietary alternatives. And it’s proof that privacy doesn’t require compromise.

At Maple, we believe the best AI should be both powerful and private. With reproducible builds, open source code, and hardware-enforced encryption, you don’t have to trust our word. You can verify it yourself.

Your data stays yours. Your thoughts stay private.

Try Kimi K2 Thinking in Maple today.

About Maple AI

Maple AI pioneers software that delivers both exceptional user experience and uncompromising data security. We eliminate the false choice between cutting-edge technology and privacy, offering intuitive tools built on end-to-end encryption. Individuals trust Maple for private AI assistance across personal and professional tasks. Businesses rely on Maple Teams to safeguard proprietary information. Developers globally use the Maple Proxy API to power AI in apps and enterprise workflows. Discover how Maple redefines productivity without compromising your data.

You are free to think.