Kimi AI Statistics And Performance Insights (2026)

Introduction

Kimi AI Statistics: Artificial intelligence is changing the way data is gathered, studied, and used in almost every field. One powerful name in this space is Kimi AI, a modern analytics tool that turns complex data into clear insights. This article focuses on several current statistical analyses from different perspectives on Kimi AI and elaborates on its real performance. It also explains how Kimi AI handles large datasets, assesses prediction accuracy, and supports smarter decision-making.

By examining key numbers, patterns, and real-world use cases, the article covered beyond basic features. It further reveals Kimi AI’s work practices and shows its strong impact in today’s data-driven world.

Editor’s Choice

1. In October 2025, the company released Kimi Linear, a 48-billion-parameter MoE model that uses Kimi Delta Attention, improving speed and reducing memory usage when processing long contexts.
2. According to Kaggle, Kimi AI has a 128K-token context window, meaning it can remember and process very long texts, even entire books, in a single pass.
3. It can read and analyse many file types, including PDF, Word, Excel, PowerPoint, and TXT files.
4. By October 2025, Kimi had over 36 million monthly active users (MAUs), earning it the nickname Chinese ChatGPT.
5. Kimi can process texts of up to 2 million words in a single prompt.
6. According to Reddit, Kimi AI raised USD 500 million in its Series C funding round, valuing the company at USD 4.3 billion post-money.
7. The global standard for AI rankings, the Kimi app, ranked 8th in China.
8. As of January 3, 2026, Kimi has received 8,529 ratings on Google Play.
9. Kimi AI’s Individual/Pro Plans are priced at USD 9-19.99 per month.
10. Kimi K2 is a large Mixture-of-Experts model with 1 trillion parameters, of which only 32 billion are activated per token to improve efficiency.

Key Facts About Kimi AI

• According to Kaggle, Kimi AI has a 128K-token context window, meaning it can remember and process very long texts, even entire books, in a single pass.
• It can handle up to 2 million Chinese characters in a single prompt, performing better than many other AI models in text analysis, summarisation, and coding tasks.
• It can process very long documents, including multiple files, supporting summarising, translating, and answering questions.
• Kimi AI can work with text, images, and code together, making it very effective at reasoning across different types of data.
• It shows strong skills in mathematics, logical thinking, and coding, making it a useful tool for developers and data scientists.
• Kimi can chat with users in multiple languages, especially Chinese and English.
• It can understand what users want and give helpful replies in different languages.
• Kimi also has file processing features.
• It can read and analyse many file types, including PDF, Word, Excel, PowerPoint, and TXT files.
• Users can personalise Kimi with “@” commands, use voice input and output, and activate shortcuts for frequently used phrases, improving efficiency and convenience across tasks.

Recent Product and Model Development Timeline, 2025

• 20 January: The Kimi K1.5 model was released, and Moonshot AI stated that it delivered performance comparable to OpenAI’s o1 model in math, coding, and multimodal reasoning tasks, according to Wikipedia.
• April: Moonshot AI launched Kimi-VL, an open-source MoE model with 16 billion total parameters and 3 billion active parameters, followed by the release of Kimi-VL-Thinking, a reasoning-focused version, in June.
• June: The company released Kimi-Dev, a 72-billion-parameter coding-oriented model, which achieved top performance among open-source models on the SWE-bench Verified benchmark.
• Moonshot AI also introduced Kimi-Researcher, an autonomous AI research agent available through the Kimi platform.
• July: Moonshot AI launched Kimi K2, a 1-trillion-parameter MoE model with 32 billion active parameters, released under a modified MIT license and recognised for strong coding performance.
• 9 September: An improved version, Kimi-K2-Instruct-0905, was released with better coding abilities and an expanded context window of 256K tokens.
• Moonshot AI added an agent-based feature called “OK Computer,” enabling Kimi to build multi-page websites and editable slides, handle very large datasets, and produce text, audio, images, and video.
• October 2025: The company released Kimi Linear, a 48-billion-parameter MoE model that uses Kimi Delta Attention, improving speed and reducing memory usage when processing long contexts.

Kimi AI’s Growth And Performance

• A report published by AsianFin stated that Kimi, an AI chatbot developed by Moonshot AI, was launched in China on November 16, 2023.
• By October 2025, Kimi had over 36 million monthly active users (MAUs), earning it the nickname Chinese ChatGPT.
• Kimi can process texts of up to 2 million words in a single prompt.
• Moonshot AI was founded just 579 days ago by Yang Zhilin, a 31-year-old AI entrepreneur.
• Moonshot AI’s current valuation exceeds USD 2.8 billion (20 billion yuan).
• On Kimi’s first anniversary, Yang introduced the k0-math model, designed to compete with OpenAI’s o1-mini and o1-preview models.
• Early tests show k0-math can solve national exam-level and competitive math problems, reaching up to 90% of o1-mini’s performance.

Funding Statistics

• According to Reddit, Kimi AI raised USD 500 million in its Series C funding round, valuing the company at USD 4.3 billion post-money.
• The company has over CNY 10 billion (USD 1.4 billion) in cash, easing immediate pressure for an IPO.
• Well-known investors, including IDG, Alibaba, Tencent, and Wang Huiwen, support Kimi AI.
• The “OK Computer” agent feature is driving new subscription tiers and is expected to generate around USD 100 million in annual revenue.
• The number of paying users is increasing by approximately 170% month over month.
• Revenue from international API services has grown by about 4 times since November.
• For 2026, the company plans to launch the K3 model, which is expected to use 10 times more FLOPs, introduce differentiated features, and further scale agent-led revenue.
• Kimi AI currently employs around 300 people, and the employee incentive pool for 2026 is planned to double last year’s.

Technical Advantages

• Kimi stands out because it can read and understand very long documents more effectively than many competing AI tools.
• The Kimi Explorer Edition can perform searches at a much larger scale than the standard version, enabling it to review hundreds of pages and deliver more detailed, reliable responses.
• Kimi is designed to answer complex questions by following a step-by-step, logical approach, which helps it produce clearer, more thoughtful results.

Kimi User And Ranking Statistics

• According to AICPB, a global standard for AI rankings, the Kimi app ranked 8th in China.
• In December 2025, Kimi had 23.59 million monthly active users.
• This means Kimi’s monthly user base fell by about 30% compared to the previous quarter.
• During the same month, Kimi’s MAU decreased by 4.97% compared to the previous month.
• Tiger Brokers report further stated that Moonshot AI’s Kimi now has 4.5 million weekly active users.
• In Q2 2025, Kimi had 14.072 million monthly active users.
• In Q3 2025, it accounted for 9.926 million monthly active users.
• Kimi has been overtaken by other AI products, including Doubao, DeepSeek, Yuanbao, Ant’s A-Fu, and Alibaba’s Tongyi Qianwen.

Kimi AI Subscription Plans And Pricing

• Free Tier: This plan lets users try the basic chatbot features, but the usage is limited. It is completely free (USD 0).
• Individual/Pro Plans: These plans are priced around USD 9 to USD 19.99 per month. They offer more usage allowance and additional features than the free plan.
• Professional Plan: Aimed at heavy users or small teams, this plan costs between USD 29.99 and USD 49.99 per month. It provides higher limits and additional functionalities.
• Enterprise Plan: Pricing for this plan is tailored to each organisation and is usually agreed individually based on specific business requirements.

Kimi AI App Rating And Install Statistics

(Source: androidrank.org)

• According to androidrank.org, as of January 3, 2026, Kimi has received 8,529 ratings on Google Play.
• In the last 30 days, around 16.84% of the total ratings were submitted.
• The app has an average rating of 4.74 out of 5, indicating high user satisfaction.
• Kimi has achieved over 1,000,000 installs globally, with an estimated total of 1,000,000 installs.
• Kimi is currently ranked #48,185 on Google Play by number of ratings.
• Kimi AI’s rating breakdown shows: 7,773: 5-star ratings (91%), 164: 4-star ratings (1.9%), 82: 3-star ratings (1%), 82: 2-star ratings (1%), and 410: 1-star ratings(4.8%).

AI Benchmark Comparison

Kimi AI Performance Statistics

• Kimi K2 is a large Mixture-of-Experts model with a total of 1 trillion parameters, while only 32 billion are activated per token to improve efficiency, according to the official website.
• The model supports a long context window of 128,000 tokens.
• Kimi K2 was trained on approximately 15.5 trillion tokens.
• In benchmark evaluations, Kimi K2 achieved 87.8% accuracy on MMLU.
• The model scored 70.2% on mathematical reasoning benchmarks and 92.1% on GSM8K.
• On coding-related tasks, Kimi K2 recorded 53.7% on LiveCodeBench and 80.3% on EvalPlus.
• The Kimi K2-0905 variant achieved 69.2% accuracy on SWE-Bench Verified, outperforming GPT-4 at 64.2%.
• Tool-calling accuracy reached 94.7%, while file operation accuracy was 96.2%.
• In advanced reasoning benchmarks, Kimi models achieved up to 92.7% on MMLU-Redux and 93.5% on factual reasoning tasks.

How To Use Kimi AI

• Step 1: User accesses the Kimi AI platform via the web or mobile, signs up with email or social login, and verifies their account via email.
• Step 2: Users can start with the Free Tier to assess basic features and later upgrade to Individual/Pro, Professional, or Enterprise plans as needed.
• Step 3: The user logs into their account, opens the chat interface, submits questions or requests, and receives real-time responses from Kimi AI.
• Step 4: Depending on the plan, users can engage in extended conversations, submit images or documents, and leverage API integration for workflows.
• Step 5: The user obtains an API key to integrate Kimi AI into custom applications and sends requests using input and output tokens for processing.
• Step 6: The user should ask clear, specific questions, break complex tasks into smaller steps, and update plans when needed to improve performance.

Pros And Cons Of Kimi AI

Conclusion

To sum up, Kimi AI is a strong player in today’s analytics landscape. It can handle large and complex data, produce reliable predictions, and turn results into easy-to-understand insights. This makes it a smart choice for organisations that rely on data for better decisions.

The statistics in this article demonstrate both its technical power and its real-world value. With its mix of advanced AI and simple analysis tools, Kimi AI connects data with action. As data continues to grow, tools like Kimi AI will enable faster, smarter, and more dependable decision-making in the future.

FAQ