Command R+ vs. Kimi K3 Comparison


Command R+ Cohere AI	Kimi K3 Moonshot AI	+	+
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About Command R+ is Cohere's newest large language model, optimized for conversational interaction and long-context tasks. It aims at being extremely performant, enabling companies to move beyond proof of concept and into production. We recommend using Command R+ for those workflows that lean on complex RAG functionality and multi-step tool use (agents). Command R, on the other hand, is great for simpler retrieval augmented generation (RAG) and single-step tool use tasks, as well as applications where price is a major consideration.	About Kimi K3 is Moonshot AI’s most capable model, built for frontier intelligence scenarios such as software engineering, knowledge work, deep reasoning, and multimodal understanding. The model has 2.8 trillion parameters and uses Kimi Delta Attention, a hybrid linear attention mechanism, along with Attention Residuals for long-context performance. Kimi K3 supports a 1 million token context window, making it useful for analyzing large codebases, long documents, complex knowledge bases, and multi-step workflows. It includes native visual understanding for images and videos, with support for structured message formats, base64 image input, uploaded video files, and multimodal reasoning. Developers can use Kimi K3 through an OpenAI-compatible API with support for streaming, structured JSON output, partial mode, custom tools, dynamic tool loading, and automatic context caching.
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 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
Audience Users interested in a powerful large language model	Audience Developers, AI agent builders, software engineering teams, research teams, enterprise AI groups, data teams, product teams, and organizations that need long-context reasoning, multimodal understanding, structured output, tool calling, coding support, and OpenAI-compatible API access
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 No images available	Screenshots and Videos View more images or videos
Pricing Free Free Version Supported Free Trial Not Supported	Pricing $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. 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 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews
	Pros & Cons from Real Users Pros Kimi K3 looks seriously exciting from the perspective of a developer and AI agent builder. The 1M-token context window is the kind of thing that actually matters when you are working with large repos, long docs, product specs, logs, and messy multi-step agent workflows. I also like that Kimi is positioning it around long-horizon coding and end-to-end knowledge work, not just generic chat. The native visual understanding, tool calling support, and deep reasoning focus make it feel like a model built for agents that need to read, plan, inspect, code, and iterate across a real workflow. The 2.8T-parameter scale is also hard to ignore. If the real-world performance matches the positioning, Kimi K3 could be a very strong option for developers who want frontier-level capability with long context and multimodal inputs in the same stack. Cons It is still new, so I would want to test it heavily before depending on it for production agents. Big context windows are useful, but they do not automatically guarantee perfect repo understanding, reliable tool use, or consistent long-running execution.
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 Cohere AI Founded: 2019 Canada cohere.com	Company Information Moonshot AI Founded: 2023 China kimi.ai
Alternatives Command R Cohere AI	Alternatives Gemini 4 Argon Google
Cohere Cohere AI	Claude Sonnet 5.5 Anthropic
LM-Kit.NET LM-Kit	Claude Fable 5.1 Anthropic
Command A+ Cohere AI	Kimi K2.5 Moonshot AI
Sarvam 105B Sarvam View All	Kimi K2 Moonshot AI View All
Categories AI Models Supported Large Language Models Supported Retrieval-Augmented Generation (RAG) Supported	Categories AI Coding Models Supported AI Models Supported AI Reasoning Models Supported Foundation Models Supported Large Language Models Supported

Integrations Aider Supported Anything Supported Azure Marketplace Supported Brokk Not Supported ClinePass Not Supported Cohere Supported EaseMate AI Not Supported Java Not Supported Kimi Not Supported Objective-C Not Supported OpenClaw Not Supported OpenCode Not Supported OpenCode Zen Not Supported PrivatClaw Not Supported R Not Supported Rust Not Supported Shiori Not Supported Swift Not Supported Together AI Not Supported Visual Studio Code Not Supported Show More Integrations View All 6 Integrations	Integrations Aider Not Supported Anything Not Supported Azure Marketplace Not Supported Brokk Supported ClinePass Supported Cohere Not Supported EaseMate AI Supported Java Supported Kimi Supported Objective-C Supported OpenClaw Supported OpenCode Supported OpenCode Zen Supported PrivatClaw Supported R Supported Rust Supported Shiori Supported Swift Supported Together AI Supported Visual Studio Code Supported Show More Integrations View All 83 Integrations
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