Moonshot AI

Moonshot AI has released Kimi K3, a 2.8 trillion parameter model with 1 million token context window and native multimodal input. The model ranks #1 in Frontend Code Arena and #9 in Text Arena, with pricing at $3 per million input tokens and $15 per million output tokens—comparable to Claude Sonnet 5 pricing while delivering performance the company claims is near Claude Opus 4.8 and GPT-5.5.

Moonshot AI released Kimi K3 on July 16, 2026, a 2.8 trillion parameter mixture-of-experts model that ranks #2 on the Vals AI index and #3 on Artificial Analysis's Intelligence Index. The company will release the model's weights on July 27, making it the strongest open-weight model to date, surpassing all previous open releases including DeepSeek R1.

Within days, Moonshot AI and Alibaba unveiled what they claim are frontier-class models. Moonshot's Kimi K3, at 2.8 trillion parameters, and Alibaba's Qwen3.8, at 2.4 trillion parameters, will both be released as open-weight models with full weights available for download.

Moonshot AI released Kimi K3 on July 16, 2025, an open-weight model with 2.8 trillion parameters. The model represents the largest openly available model by parameter count, entering what the industry categorizes as the 3T class.

Chinese company Moonshot AI released Kimi K3, an open source model that the company claims demonstrates frontier-level performance while trailing only Claude Fable 5 and GPT 5.6 Sol. Independent analyses from Arena.ai and Vals AI suggest the model is competitive with flagship frontier models, reigniting debate about Chinese AI capabilities and open source model development.

Chinese AI models from Tencent, Xiaomi, DeepSeek, MiniMax and Z.ai now occupy the top five positions by weekly token usage on OpenRouter, a major AI marketplace. The shift threatens to commoditize premium models from OpenAI and Anthropic as businesses reserve expensive frontier systems for only their hardest problems.

Moonshot AI's Kimi K3 model has matched or exceeded performance of Anthropic's Opus 4.8 and OpenAI's GPT-5.6 Sol in independent benchmarks while costing 40% less than comparable US models. The Beijing-based company plans to release Kimi K3 as an open-weight model on July 27.

Beijing-based Moonshot AI released Kimi K3, China's largest AI model at 2.8 trillion parameters. The company claims the model consistently outperforms OpenAI's GPT 5.5 and Anthropic's Claude Opus 4.8 on benchmarks including coding and general agents, though it still trails the leading-edge GPT 5.6 Sol and Claude Fable 5 in overall performance.

Moonshot AI released Kimi K3 on July 16, 2026, featuring 2.7 trillion parameters—the largest open-weight model to date. The company claims K3 performs competitively with Anthropic's Fable 5 while costing $15 per million output tokens compared to Fable's $50.

Moonshot AI has released Kimi k3, positioning it as China's leading AI model. The company claims the model features a 1 million token context window and improved reasoning capabilities, though independent benchmarks are not yet available.

Chinese AI lab Moonshot AI released Kimi K3, a 2.8 trillion parameter model priced at $3 per million input tokens and $15 per million output tokens. The model is currently available via API, with open weights promised by July 27, 2026. This represents the most expensive pricing from a Chinese AI lab to date, matching Anthropic's Claude Sonnet series.

Moonshot AI has released Kimi K3, an open-weight multimodal reasoning model with a 1-million token context window. The model is priced at $3 per 1M input tokens and $15 per 1M output tokens, available through OpenRouter.

Moonshot AI will release Kimi K3 in the coming days with a parameter count between 2 trillion and 3 trillion, according to Financial Times sources. The open-weight model is expected to perform at par with or surpass Anthropic's Claude Opus 4.8, making it the largest open-weight AI model from China.

Moonshot AI has released Kimi K2.7 Code, a 1 trillion parameter Mixture-of-Experts model designed for long-horizon coding tasks. The model features a 256K context window and reduces thinking token usage by approximately 30% compared to its predecessor K2.6.

Moonshot AI has released Kimi K2.6, an open-source multimodal model with 1 trillion total parameters (32B activated) and 256K context window. The model achieves 80.2% on SWE-Bench Verified, 58.6% on SWE-Bench Pro, and supports horizontal scaling to 300 sub-agents executing 4,000 coordinated steps.