Moonshot AI has released Kimi K3, a 2.8-trillion-parameter open-weights model designed for long-horizon coding and deep reasoning. It is the world's first open-source model in the 3-trillion-parameter class and supports a 1 million token context window.
Together AI has announced a strategic partnership with Moonshot AI to serve as the launch platform for Moonshot's open-weight models, starting with Kimi K3. This collaboration provides developers with day-zero access to frontier releases through Together AI’s US-hosted infrastructure and tooling.
Moonshot AI has released the weights, technical report, and supporting infrastructure for Kimi K3, a 2.8T-parameter Mixture of Experts model with 104B active parameters. The release includes the FlashKDA attention kernels, MoonEP communication library, and AgentENV distributed agent environment.
Moonshot released Kimi K3, a 2.8T-parameter MoE model with 104B active parameters, alongside its technical report and supporting infrastructure tools. Simultaneously, NVIDIA formally launched the Open Secure AI Alliance to promote shared tooling and research for AI security.
Moonshot AI has introduced Kimi K3, an open-source Mixture-of-Experts model featuring 2.8 trillion total parameters and 104 billion activated parameters per token. The model supports native vision capabilities and a 1-million-token context window, leveraging Kimi Delta Attention and Stable LatentMoE to achieve approximately 2.5x scaling efficiency over its predecessor, Kimi K2.
Moonshot AI introduces Kimi K3, an open-source Mixture-of-Experts model featuring 2.8 trillion total parameters and 104 billion activated parameters per token. The architecture utilizes native vision capabilities and supports a 1-million-token context window, enabled by Kimi Delta Attention and Stable LatentMoE.
Moonshot has released the weights for its 2.8 trillion parameter Kimi K3 model, available as a 1.56TB download on Hugging Face. The release includes a modified license that requires large commercial entities to enter into a separate agreement with Moonshot AI if their aggregate revenue exceeds $20 million over any consecutive 12 months.
Moonshot AI has released the weights for its Kimi K3 model. The checkpoint is now available on Hugging Face.
Moonshot AI has released the Kimi K3 2.8T model, which is now available on Hugging Face.
Moonshot AI has released the Kimi K3 model, which is now available on Hugging Face.
A comparison of Kimi K3 and GPT-5.6 Sol on the DeepSWE benchmark reveals that while GPT-5.6 Sol leads in single-shot quality (72.7% vs 68.5%), Kimi K3 achieves higher pass@k scores for k > 1 at a significantly lower cost.
Moonshot AI has made the Kimi K3 countdown available on Hugging Face. The model is now accessible via a direct link provided in the source material.
Kimi K3, an open-weight model from Moonshot AI, achieves performance comparable to Anthropic's Claude Fable 5 on the DeepSWE benchmark while costing significantly less per task. In a July 16, 2026 evaluation, Kimi K3 reached 68.5% pass@1 compared to Fable 5's 69.9%, but surpassed it in multi-attempt scenarios and offered superior cost efficiency.
Moonshot AI introduced Kimi K3, a 2.8 trillion-parameter vision-language model available via API with weights promised by July 27, positioning it as the largest known open-weight model to date. Concurrently, Meta launched Muse Spark 1.1, a vision-language model trained for agentic tasks, alongside its first paid Meta Model API access.
On July 16th, Moonshot AI released its latest flagship model, Kimi K3, a 2.8 trillion parameter Mixture of Experts (MoE) architecture. The company has promised to release the model's weights on July 27th.
Moonshot has released Kimi K3, an open-weight model that has triggered a reassessment of how close Chinese models are to the frontier. The release is characterized by strong performance in coding, agentic tasks, and long-horizon knowledge work.
Moonshot AI has released Kimi K3, an open-source sparse Mixture-of-Experts (MoE) model featuring native vision capabilities and a 1-million-token context window. It is the first open model to reach the 2.8 trillion parameter scale.
Moonshot AI has introduced Kimi K3, a new frontier-class open-weights model featuring 2.8 trillion total parameters and native multimodal input capabilities. Officially positioned as "Open Frontier Intelligence," the model supports a 1 million-token context window and utilizes novel architectural components like Kimi Delta Attention (KDA) and Attention Residuals to enhance efficiency.
Moonshot AI has launched Kimi K3, a frontier-class open-weights model with 2.8 trillion parameters and native multimodal input. The model features Kimi Delta Attention (KDA) for faster decoding in long contexts and is positioned for long-horizon agentic coding workflows.
Chinese AI lab Moonshot AI has announced Kimi K3, describing it as their most capable model to date with 2.8 trillion parameters. The model is currently available via the website and API, with an open weight release promised by July 27, 2026.