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Average Ratings 0 Ratings

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ease
features
design
support

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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

Voyage AI has introduced voyage-3-large, an innovative general-purpose multilingual embedding model that excels across eight distinct domains, such as law, finance, and code, achieving an average performance improvement of 9.74% over OpenAI-v3-large and 20.71% over Cohere-v3-English. This model leverages advanced Matryoshka learning and quantization-aware training, allowing it to provide embeddings in dimensions of 2048, 1024, 512, and 256, along with various quantization formats including 32-bit floating point, signed and unsigned 8-bit integer, and binary precision, which significantly lowers vector database expenses while maintaining high retrieval quality. Particularly impressive is its capability to handle a 32K-token context length, which far exceeds OpenAI's 8K limit and Cohere's 512 tokens. Comprehensive evaluations across 100 datasets in various fields highlight its exceptional performance, with the model's adaptable precision and dimensionality options yielding considerable storage efficiencies without sacrificing quality. This advancement positions voyage-3-large as a formidable competitor in the embedding model landscape, setting new benchmarks for versatility and efficiency.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

GPT-5
GPT-5.1
GPT-5.1 Thinking
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.3 Instant
GPT-5.4
GPT-5.4 mini
GPT-5.4 nano
GPT-5.5 Pro
GPT-5.6
GPT‑5.4 Thinking
LangChain
Nebius Token Factory
OneSignal
OpenClaw
PyTorch
Shiori
Snowflake
Zo Computer

Integrations

GPT-5
GPT-5.1
GPT-5.1 Thinking
GPT-5.2 Pro
GPT-5.2 Thinking
GPT-5.3 Instant
GPT-5.4
GPT-5.4 mini
GPT-5.4 nano
GPT-5.5 Pro
GPT-5.6
GPT‑5.4 Thinking
LangChain
Nebius Token Factory
OneSignal
OpenClaw
PyTorch
Shiori
Snowflake
Zo Computer

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Moonshot AI

Founded

2023

Country

United States

Website

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

Vendor Details

Company Name

MongoDB

Founded

2007

Country

United States

Website

blog.voyageai.com/2025/01/07/voyage-3-large/

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