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features
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Description

Kimi K2 Thinking is a sophisticated open-source reasoning model created by Moonshot AI, specifically tailored for intricate, multi-step workflows where it effectively combines chain-of-thought reasoning with tool utilization across numerous sequential tasks. Employing a cutting-edge mixture-of-experts architecture, the model encompasses a staggering total of 1 trillion parameters, although only around 32 billion parameters are utilized during each inference, which enhances efficiency while retaining significant capability. It boasts a context window that can accommodate up to 256,000 tokens, allowing it to process exceptionally long inputs and reasoning sequences without sacrificing coherence. Additionally, it features native INT4 quantization, which significantly cuts down inference latency and memory consumption without compromising performance. Designed with agentic workflows in mind, Kimi K2 Thinking is capable of autonomously invoking external tools, orchestrating sequential logic steps—often involving around 200-300 tool calls in a single chain—and ensuring consistent reasoning throughout the process. Its robust architecture makes it an ideal solution for complex reasoning tasks that require both depth and efficiency.

Description

TabPFN-3.5 is an advanced foundation model specifically designed for achieving top-tier predictions on structured data, making it highly effective for a variety of tasks such as churn analysis, fraud detection, pricing strategies, demand forecasting, and risk assessment, thus enabling teams to utilize a single model for diverse applications. The model seamlessly processes data in its original form, adeptly managing issues like missing values, outliers, categorical data, multi-table datasets, free text features, and thousands of unique identifiers without requiring any encoding, while also accommodating numerous measurements per row. Users have the convenience of inputting raw data without the need for extensive feature engineering or preprocessing, allowing them to obtain high-quality, production-ready predictions immediately after the initial prediction call. Notably, TabPFN-3.5 generates predictions in a single forward pass, striking an optimal balance between accuracy and speed, and is optimized for quick inference, which is crucial for latency-sensitive predictive applications. Furthermore, it can efficiently handle large-scale datasets of up to one million rows natively and boasts a remarkable 20 times faster inference speed compared to its predecessors, making it a significant advancement in the field. This combination of efficiency, versatility, and performance positions TabPFN-3.5 as a powerful tool for data scientists and organizations seeking to leverage structured data effectively.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Databricks No 
GPT-5.1 Yes 
GPT-5.1 Pro Yes 
GPT-5.1 Thinking Yes 
GPT-5.2 Yes 
GPT-5.2 Pro Yes 
GPT-5.2 Thinking Yes 
GPT-5.4 nano Yes 
GPT-5.5 Yes 
GPT-5.6 Sol Yes 
GPT-5.6 Sol Ultrafast Yes 
GPT-6 Astra Yes 
GPT-6 Sol Yes 
GPT‑5.4 Thinking Yes 
Hugging Face Yes 
Model Context Protocol (MCP) No 
Nebius Token Factory Yes 
OpenClaw Yes 
Oxlo.ai Yes 
SAP Cloud Platform No 

Integrations

Databricks Yes 
GPT-5.1 No 
GPT-5.1 Pro No 
GPT-5.1 Thinking No 
GPT-5.2 No 
GPT-5.2 Pro No 
GPT-5.2 Thinking No 
GPT-5.4 nano No 
GPT-5.5 No 
GPT-5.6 Sol No 
GPT-5.6 Sol Ultrafast No 
GPT-6 Astra No 
GPT-6 Sol No 
GPT‑5.4 Thinking No 
Hugging Face No 
Model Context Protocol (MCP) Yes 
Nebius Token Factory No 
OpenClaw No 
Oxlo.ai No 
SAP Cloud Platform Yes 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Moonshot AI

Founded

2023

Country

United States

Website

moonshotai.github.io/Kimi-K2/thinking.html

Vendor Details

Company Name

Prior Labs

Founded

2024

Country

Germany

Website

priorlabs.ai/tabpfn-3-5

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