Ratings and Reviews 1 Rating

Total
ease
features
design
support

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Yodeck Reviews & Ratings
    8,160 Ratings
    Company Website
  • OptiSigns Reviews & Ratings
    8,462 Ratings
    Company Website
  • AnalyticsCreator Reviews & Ratings
    46 Ratings
    Company Website
  • LM-Kit.NET Reviews & Ratings
    29 Ratings
    Company Website
  • Mitti (by SafetyCulture) Reviews & Ratings
    869 Ratings
    Company Website
  • Daylight Reviews & Ratings
    15 Ratings
    Company Website
  • SearchUnify Reviews & Ratings
    150 Ratings
    Company Website
  • Curtain MonGuard Screen Watermark Reviews & Ratings
    7 Ratings
    Company Website
  • Iru Reviews & Ratings
    1,389 Ratings
    Company Website

What is Kimi K3?

Kimi K3 is Moonshot AI’s most advanced model, designed for high-end reasoning, software engineering, multimodal understanding, knowledge work, and agentic AI applications. The model has 2.8 trillion parameters and is built on Kimi Delta Attention, a hybrid linear attention mechanism created for long-context performance. It also uses Attention Residuals and supports a native context window of up to 1 million tokens. This makes Kimi K3 suitable for tasks involving large codebases, long research materials, enterprise documentation, multi-file analysis, legal documents, technical manuals, and complex workflows. Kimi K3 always has thinking mode enabled, with reasoning effort configured through the reasoning_effort field and maximum effort currently supported as the default. Developers can use the model through an OpenAI-compatible API, making it easier to integrate with existing SDKs, clients, and application infrastructure. The model supports streaming responses with separate reasoning and final-answer deltas, allowing applications to display reasoning progress and final content differently. Kimi K3 also supports strict structured output with JSON Schema, partial mode for continuing from a prefix, custom tool calling, required tool use, and dynamic tool loading through system messages. Its vision capabilities support image and video inputs through base64 or uploaded files, enabling analysis of visual content alongside text. Automatic context caching helps workflows that reuse long prefixes, such as large knowledge bases or persistent system context, without requiring developers to manage cache IDs manually. By combining frontier-scale parameters, long-context processing, visual input, structured outputs, tool orchestration, and developer-friendly API compatibility, Kimi K3 gives teams a strong foundation for advanced AI agents, coding assistants, research systems, enterprise automation, and multimodal applications.

What is DeepSeek R1?

DeepSeek-R1 represents a state-of-the-art open-source reasoning model developed by DeepSeek, designed to rival OpenAI's Model o1. Accessible through web, app, and API platforms, it demonstrates exceptional skills in intricate tasks such as mathematics and programming, achieving notable success on exams like the American Invitational Mathematics Examination (AIME) and MATH. This model employs a mixture of experts (MoE) architecture, featuring an astonishing 671 billion parameters, of which 37 billion are activated for every token, enabling both efficient and accurate reasoning capabilities. As part of DeepSeek's commitment to advancing artificial general intelligence (AGI), this model highlights the significance of open-source innovation in the realm of AI. Additionally, its sophisticated features have the potential to transform our methodologies in tackling complex challenges across a variety of fields, paving the way for novel solutions and advancements. The influence of DeepSeek-R1 may lead to a new era in how we understand and utilize AI for problem-solving.

Media

Media

Integrations Supported

Brokk
C
C#
C++
CSS
EaseMate AI
Go
HTML
Java
Kotlin
Kubernetes
Nebius Token Factory
Ollama
R
Ruby
Rust
SQL
Scala
SiliconFlow
TypeScript

Integrations Supported

Brokk
C
C#
C++
CSS
EaseMate AI
Go
HTML
Java
Kotlin
Kubernetes
Nebius Token Factory
Ollama
R
Ruby
Rust
SQL
Scala
SiliconFlow
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

$3 per 1M tokens (input)
Kimi K3 is priced per 1 million tokens:

Cached input: $0.30
Uncached input: $3.00
Output: $15.00
Context window: 1,048,576 tokens

Cached inputs cost 90% less than uncached inputs, while generated output is the most expensive token category. Prices exclude applicable taxes, which are calculated based on the customer’s jurisdiction.

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Not specified

Company Facts

Organization Name

Moonshot AI

Date Founded

2023

Company Location

China

Company Website

kimi.ai

Company Facts

Organization Name

DeepSeek

Date Founded

2023

Company Location

China

Company Website

www.deepseek.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Open-Weight AI Models

Not specified

Popular Alternatives

Popular Alternatives

Claude Sonnet 4 Reviews & Ratings

Claude Sonnet 4

Anthropic
Kimi K2 Reviews & Ratings

Kimi K2

Moonshot AI