"The ability to call up the tool 300 times in a row without human intervention is true thinking power."
Last night, there was an earthquake in the field of domestic large models - Dark Side of the Moon was officially released Kimi K2 ThinkingA new product with a 1 trillion parameters The open source Think Agent model.
Less than 2 hours after going live, the servers were packed; Hugging Face co-founder Thomas Wolf was thrilled, saying, "We are witnessing another DeepSeek moment."; Sebastian Raschka, a renowned AI scholar, analyzed that "More experts, less HEAD, more thinking"; Reddit Hot Topic comment:"The closest the open-source model is to the closed-source frontier.“
What is it about this model that has the global AI community buzzing? Today, we're going to find out.
💥 Not just big, but thinking
Kimi K2 Thinking is not an ordinary upgrade, but a completely re-engineered Thinking Agent with only one core breakthrough:
Performs 200-300 consecutive tool calls for complex multi-step tasks without manual intervention.
Unlike traditional big models that can only be answered passively, K2 Thinking will actively think, question, validate, and adjust, thinking and acting like a human being.
| norm | K2 Thinking | traditional model |
|---|---|---|
| Tool Call | 200-300 consecutive calls | Usually 1-3 times |
| thought process | Explicitly demonstrate the chain of reasoning | Hide the reasoning process |
| interactive mode | Active Search + Think + Execute | passive response |
| Type of mission | Multi-step complex tasks | single simple task |
⚡ Technical underpinnings: the secret behind the 1T parameter
1️⃣ Quantitative Breakthrough: INT4 is not a compromise, it's a strategy
Compared with the FP8 adopted by competitors, K2 Thinking chose to quantize INT4, which is not only a technological breakthrough, but also a strategic consideration:
- Double the speed: Increase in generation speed by about 2 times
- hardware compatibility: More friendly to domestic accelerated computing chips
- No loss of performance: Maintaining performance without degradation through Quantitative Awareness Training (QAT)
"Two Macs with M3 Ultra chips can run INT4 Compressed smoothly with little to no performance loss." --Awni Hannun, Apple Bully, test share
2️⃣ Architectural revamp: more experts, less head
Compared to DeepSeek R1, K2 Thinking utilizes a more streamlined architecture:
- More Experts: Enhancing the breadth of model knowledge
- Less head: Reduce computational redundancy
- alternate thinking: Cycle between "think" and "do" to improve reasoning coherence
3️⃣ Training Cost: $4.6 Million Precision Investment
According to CNBC, K2 Thinking costs $4.6 million to train. Compared to the tens of millions of dollars of model training, Dark Side of the Moon maximizes performance with a precise and efficient training strategy. Every penny is spent on the knife edge.
📊 Performance in action: surpassing GPT-5 SOTA scores
The K2 Thinking has demonstrated amazing strength in a number of authoritative benchmark tests:
🔍 Intelligent body capabilities: truly autonomous thinking
- 𝜏²-Bench Telecom:: 93% accuracy over GPT-5 (89%) and Claude Sonnet 4.5 (91%)
- SEAL-0: Complex Information Gathering Reasoning Test, Refresh SOTA
- BrowseComp:: 60.21 TP3T score, human average only 29.21 TP3T
🧠 Integrated reasoning: solving PhD-level puzzles
- HLE (Human Legacy Examination): 44.91 TP3T score, surpassing GPT-5 (43.71 TP3T), Claude Sonnet 4.5 (42.81 TP3T), Grok4 (41.51 TP3T)
- GPQA-Diamond: Advanced Reasoning Test, outperforms most competing products
💻 Programming in action: not just writing code, but solving problems
- SWE-Multilingual: 61.11 TP3T score
- SWE-Bench Verified: 71.31 TP3T score, close to human expert level
- Terminal-Bench:: 47.11 TP3T scores, capable of handling complex terminal environment tasks
🎯 Hands-on demo: this is the real AI assistant
✅ Case 1: Private Trip Manager
mandates: My budget is $1,000 to plan my concert tour!
Performance of K2 Thinking::
- 17 tool calls to complete the full process
- Ask about user preferences, work schedules
- Search for tickets, venues, and neighborhood restaurants
- Generate a personalized itinerary with time, place and cost details
"More detailed than a real personal butler, even the restaurant's specialties were considered."
✅ Case 2: Mathematical Physics Visualization
mandates: Explaining two-dimensional gradient descent
Performance of K2 Thinking::
- Invoking visualization tools
- Generate a moving map: blue contour lines, yellow paths, red gradient arrows
- With textual explanations, at a glance
- Parameters can be adjusted interactively by the user
✅ Case 3: Viral Spread Simulation
mandates: Make a virus simulation program with adjustable immune parameters
Performance of K2 Thinking::
- 23 tool calls
- Generate a fully interactive program
- Red and blue particles chasing, colliding and devouring each other
- Sliders to adjust viral replication rate, number of immune cells
- Real-time parameter feedback and statistics
✅ Case 4: Data Analysis and Visualization
mandates:: "Analyze the CSV file I sent you and generate charts to support the analysis"
Performance of K2 Thinking::
- First planning step: load data → screening → analysis → mapping
- 14 Python calls
- Generate interactive web pages with statistical analysis, visualization charts, detailed explanations
- Error self-healing without human intervention
🚀 Free and open source: the AI revolution available for all
Most excitingly, K2 ThinkingCompletely open sourceAdoptionModified MIT License::
- ✅ Commercial Free: Can be used directly in commercial products
- ✅ model weight: Full Open on Hugging Face
- ✅ API interface: Services provided by Kimi Open Platform
- ✅ personal useAvailable instantly on kimi.com and mobile apps!
The only restriction: Kimi K2 needs to be prominently labeled in the UI when there are more than 100 million monthly active users or more than $20 million in monthly revenue.
"This is not a victory for one company, but a collective leap in China's AI ecosystem." -- CTO of a head AI company
🌟 Write in the end
The emergence of Kimi K2 Thinking breaks our inherent perception of AI. It is no longer a passive "chatbot", but a "digital colleague" that can actively think, solve problems and continuously evolve.
As open-source models begin to overtake closed-source models, and as Chinese technology begins to lead global AI innovation, we have to admit:China is at the forefront of the AGI journey.
"It's not replacing humans, it's liberating them. Let AI handle the tedious calculations and execution, and humans focus on creation and decision-making." --Dark Side of the Moon Engineer Team
Experience it now::
🔗 https://kimi.com
🔗 https://huggingface.co/moonshotai/Kimi-K2-Thinking
Technology Blog::
🔗 https://moonshotai.github.io/Kimi-K2/thinking.html