Search AI Products and News

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.

Another breakthrough in the application of artificial intelligence in education! A new AI tool named VideoTutor has sparked heated discussions recently. Its innovative function allows users to generate teaching videos similar to those of Khan Academy style by simply entering one sentence or uploading a screenshot of a question, covering scenarios such as K12 education and SAT preparation. AIbase provides an in-depth analysis of this star in education technology for you, including its highlights and potential. One-sentence Generation of Personalized Teaching Videos is the core highlight of VideoTutor.