K2 Think vs. Kimi K3.1 Pro Comparison


K2 Think Institute of Foundation Models	Kimi K3.1 Pro Moonshot AI	+	+
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About K2 Think is an open source advanced reasoning model developed collaboratively by the Institute of Foundation Models at MBZUAI and G42. Despite only having 32 billion parameters, it delivers performance comparable to flagship models with many more parameters. It excels in mathematical reasoning, achieving top scores on competitive benchmarks such as AIME ’24/’25, HMMT ’25, and OMNI-Math-HARD. K2 Think is part of a suite of UAE-developed open models, alongside Jais (Arabic), NANDA (Hindi), and SHERKALA (Kazakh), and builds on the foundation laid by K2-65B, the fully reproducible open source foundation model released in 2024. The model is designed to be open, fast, and flexible, offering a web app interface for exploration, and with its efficiency in parameter positioning, it is a breakthrough in compact architectures for advanced AI reasoning.	About Kimi K3.1 Pro is a multimodal large language model developed by Moonshot AI for advanced reasoning, software development, 3D modeling, financial analysis, and autonomous AI agent workflows. The model uses a mixture-of-experts architecture with approximately 2.8 trillion total parameters and 104 billion active parameters, supporting a context window of one million tokens. Its coding capabilities include debugging existing applications, generating complete software projects, developing interactive websites, and creating applications with game engines. Kimi K3.1 Pro can analyze images, interpret spatial relationships, generate CAD scripts, and create three-dimensional assets from text descriptions or visual references. Its reasoning and tool-use capabilities support financial modeling, investment research, document analysis, and multistep business workflows. The model is available through Kimi's web and mobile applications, Kimi Work, Kimi Code, and the Kimi API, with a Highspeed variant.
Platforms Supported Windows Not Supported Mac Not Supported Linux Not Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Supported On-Premises Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Researchers, developers, or institutions wanting a tool providing a model for mathematical or logical tasks, especially where resources are limited but performance is required	Audience Software developers, AI engineers, researchers, financial analysts, and teams building applications or agentic workflows with AI models.
Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported	Support Phone Support Not Supported 24/7 Live Support Not Supported Online Supported
API Offers API Not Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing $2 per 1M tokens API usage is pay-as-you-go: $2 per million input tokens and $10 per million output tokens. Cached input is $0.20 per million tokens; cache writes are $2 per million tokens. Kimi Code also provides tier-based membership access, with quotas and context limits depending on the tier. Free Version Not Supported Free Trial Not Supported
Reviews/Ratings Overall 0.0 / 5 ease 0.0 / 5 features 0.0 / 5 design 0.0 / 5 support 0.0 / 5 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros I can give it a large coding job, a research project, or a multi-step agent workflow and it does a much better job staying organized all the way through. Coding is probably the biggest jump. Moonshot reports a 65.7% score on Terminal-Bench 4.0, ahead of GPT-6 Astra’s reported 58.2% and just behind Claude Opus 5.5 at 66.4%. It feels especially good for terminal work, repo-level changes, and tasks where the agent has to keep using tools for a while. The 1M-token context window is also genuinely useful. I can keep a huge amount of source code, documentation, financial material, screenshots, and prior work in context without constantly trimming things down. Cons The main downside is that the full weights are not available yet. Moonshot says they will be released soon, so the open-weight story is promising, but I would wait for that release before judging local deployment and customization.
Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Institute of Foundation Models United States www.k2think.ai/k2think	Company Information Moonshot AI Founded: 2023 China www.kimi.ai/
Alternatives DeepSeek R1 DeepSeek	Alternatives GPT-6.1 Terra OpenAI
Inkling Thinking Machines Lab	Gemini 4 Argon Google
Qwen3.6-27B Alibaba	Claude Sonnet 5.5 Anthropic
Sarvam 105B Sarvam	Kimi K2 Moonshot AI
Kimi K2 Thinking Moonshot AI View All	Kimi K3 Moonshot AI View All
Categories AI Models Supported Large Language Models Supported Open-Weight AI Models Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported Open-Weight AI Models Supported

Integrations C# Not Supported C++ Not Supported CSS Not Supported Claude Code Not Supported ClinePass Not Supported JavaScript Not Supported Kimi Not Supported Kimi Code Not Supported Lua Not Supported Model Context Protocol (MCP) Not Supported Objective-C Not Supported OpenAI Codex Not Supported PrivatClaw Not Supported R Not Supported Rapid Claw Not Supported Rust Not Supported Together AI Not Supported Vercel AI Gateway Not Supported Visual Studio Code Not Supported XML Not Supported Show More Integrations	Integrations C# Supported C++ Supported CSS Supported Claude Code Supported ClinePass Supported JavaScript Supported Kimi Supported Kimi Code Supported Lua Supported Model Context Protocol (MCP) Supported Objective-C Supported OpenAI Codex Supported PrivatClaw Supported R Supported Rapid Claw Supported Rust Supported Together AI Supported Vercel AI Gateway Supported Visual Studio Code Supported XML Supported Show More Integrations View All 84 Integrations
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