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Moonshot AI's open-source model Kimi K2 excels in programming, matching Qwen3-235B-A22B and nearing o3-mini-high & Claude-3.7-Sonnet. With 1T MoE, 128k context, 65.8% accuracy on SWE-bench, and $0.14/M tokens, it's ideal for coding. Supports web generation, workflows, vLLM/Hugging Face deployment, MIT-licensed.....

The Kimi Open Platform announced the official launch of Kimi Playground, a one-stop platform designed for developers to experience tool calling capabilities. The release of Kimi Playground marks a significant shift in AI technology from simple conversational assistants to intelligent assistants that can actually perform tasks. The core of Kimi Playground is the tool calling (Tool Calling) feature, which allows AI to proactively call various tools to complete complex tasks.

Cursor's regional restrictions drive developers to adopt Chinese AI Kimi K2, hitting 10B daily tokens. Its API is 5-25x cheaper than Claude, gaining global traction in coding and content creation.....

Kimi-2, an open-source 32B MoE AI model, excels in code generation and outperforms Claude Opus4/GPT-4.1. Priced at $0.15/million tokens, it ranks 3rd globally and is now available via API and Kimi app.....

Moon's Dark Side addresses Kimi K2API slowdowns, citing high traffic and large model size. Optimization and hardware upgrades underway, with improvements expected soon. Kimi K2 is fully open-source, allowing alternative deployments. The company, founded in 2023, focuses on AI tools like Kimi Assistant for translation and legal analysis, aiming to enhance user experience.....

Kimi K2 excels in creative writing, outperforming o3-Pro in short story creation. This open-source model by Moonshot (Ali-backed) shows strengths in literary compression and metaphor innovation, with some works near publishable quality. Its low cost ($0.15/M tokens) and precise instruction-following attract developers, though emotional depth and multilingual performance need improvement. This breakthrough sets new AI writing standards.....

TRAE.ai launches Kimi-K2 model and Grok-4(Beta). Kimi-K2 excels in code/math with MoE architecture, rivaling GPT-4.1. Easy 3-step access. International version adds Grok-4(Beta) testing alongside Claude, Gemini, GPT.....

On July 11, Moonshot officially launched the Kimi K2 model, which has stronger code capabilities and general agent task processing abilities, and simultaneously chose to open-source it. This foundation model based on the MoE architecture has a total parameter count of 1T and an activated parameter count of 32B, and it immediately attracted widespread attention upon its release.​ However, recently some users have reported that the API service speed for the Kimi K2 model is slow. In response to this, Moonshot posted tonight stating that the main reasons for the slow speed are the high volume of traffic and the large model size. To address this issue, the company

Moonshot AI's Kimi K2, a 1 trillion-parameter open-source model, surpasses Grok in market share. It excels in 128K context reasoning, outperforms Claude/GPT-4 in benchmarks, and offers free API. Now open on Hugging Face.....

Unsloth AI quantized Moonshot AI's 1T-parameter Kimi K2 model to 1.8bit, reducing size by 80% to 245GB while maintaining performance. The MoE-based model excels in coding and reasoning, now deployable on 512GB M3Ultra devices, lowering costs. This advancement positions Kimi K2 as a GPT-4.1 competitor, benefiting SMEs and boosting open-source AI adoption in education/healthcare.....

Moonshot AI's open-source model Kimi K2, with 1 trillion parameters, excels in coding and reasoning. Its low cost and open strategy quickly gained 1.5% market share, surpassing Grok4 and GPT-4.1.....

The Silicon Base Flow platform has launched the open-source MoE model Kimi K2 developed by Moonshot AI. The model has a total of 1T parameters and 32B activated parameters, supports a context length of 128K, and performs excellently in coding and agent tasks. The pricing is 4 yuan per million tokens for input and 16 yuan per million tokens for output. New users can get 14 yuan in trial credit upon registration. The model has three technical advantages: 15.5T tokens of large-scale training, MuonClip optimizer for stable expansion, and design optimized for agent tasks. Tests show that it excels in coding

The CEO of American AI company Perplexity publicly praised the newly released Kimi K2 model with one trillion parameters from Moonshot AI, stating that they may conduct training based on this model. Kimi K2 uses a mixture-of-experts architecture, showing excellent performance in tasks such as code generation, intelligent agents, and mathematical reasoning, and has achieved leading results in multiple benchmark tests. Perplexity previously used the DeepSeek R1 model, and this statement shows that they are actively seeking technological collaborations to drive AI product development. Kimi K

MoonDark releases trillion-parameter open-source model Kimi K2, featuring MoE with 32B active params. Excels in coding/math, supports tool use & code execution. Uses MuonClip optimizer, offers API & base model. Key competition to closed-source AI, available via official platforms.....

Moonshot AI officially released its latest creation - the Kimi K2 model, and simultaneously announced its open source. This foundation model based on the MoE architecture has gained widespread attention in the AI field since its release, thanks to its strong coding capabilities and excellent general Agent task processing abilities. The Kimi K2 model has a total of 1T parameters, with 32B activated parameters. It has achieved top performance among open-source models in a series of benchmark performance tests such as SWE Bench Verified, Tau2, and AceBench.

Welcome to the [AI Daily] segment! This is your guide to exploring the world of artificial intelligence every day. Every day, we present you with the latest content in the AI field, focusing on developers, helping you understand technology trends and innovative AI product applications. Click to learn more about fresh AI products: https://top.aibase.com/1: Moon's Dark releases the first self-developed agent Kimi-Researcher. Moon's Dark launches Kimi-Researcher, which has strong multi-turn search and reasoning capabilities, and performs well in HLE testing.

Recently, Kimi intelligent assistant under the Moonshot Dark Side announced that its first agent product - Kimi-Researcher (Deep Research) has officially started small-scale gray-scale testing. This new generation of agent models trained based on end-to-end autonomous reinforcement learning (end-to-end agentic RL) technology aims to provide users with efficient and in-depth deep research services. Kimi-Researcher demonstrates strong autonomous planning and execution capabilities when facing problems. It can not only

This article provides an in-depth analysis of the innovative architecture and technical advantages of the Kimi-Dev-72B open source large model, exploring how it addresses efficiency pain points in software development through its three-stage training paradigm and environment-integrated reinforcement learning mechanism, featuring core functions such as automated issue localization and precise code repair.