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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.

On April 25th, Razer officially launched its new Pro Click V2 series of ergonomic mice, including the standard Pro Click V2 and the new vertical Pro Click V2 Vertical Edition, starting at 799 yuan. These mice not only combine comfort and functionality in their design but also prioritize user experience. The Pro Click V2 features a classic 6-button design with a central scroll wheel...

A GitHub open-source project named "system-prompts-and-models-of-ai-tools" has gained significant traction, accumulating 30.5K stars and becoming a popular resource for AI developers and researchers. This project, according to AIbase, compiles system prompts and model configurations for 9 mainstream AI tools, encompassing over 6500 lines of content and covering v0, Cursor, Manus, Same.dev, Lovable, Devin, and Rep.