TLDR
- Moonshot AI released Kimi K3, a 2.8 trillion-parameter open-weight model, claiming it’s the world’s largest of its kind
- The model performs close to Anthropic’s frontier models and outperforms several US competitors on benchmarks
- Kimi K3 topped a coding leaderboard run by UC Berkeley’s Arena platform shortly after launch
- Shares of Chinese AI rivals Zhipu and Minimax dropped 27.7% and 16.5% in Hong Kong following the announcement
- The launch follows US government delays to Anthropic and OpenAI model releases over security concerns
Chinese AI startup Moonshot AI launched Kimi K3 on Friday, describing it as the world’s first open-source model near the 3 trillion-parameter mark.
Introducing Kimi K3: Open Frontier Intelligence
🔹 2.8 Trillion Parameters, 1 Million Context, Native Multimodal
🔹 Kimi Delta Attention enables up to 6.3x faster decoding in million-token contexts
🔹 Attention Residuals deliver ~25% higher training efficiency at <2% additional… pic.twitter.com/eFHEbdxn3P— Kimi.ai (@Kimi_Moonshot) July 16, 2026
The model has 2.8 trillion parameters — internal variables learned during training that are often used as a rough measure of scale.
Moonshot says Kimi K3 is built for advanced reasoning, long-horizon coding, and knowledge work. It features a 1 million-token context window, letting it process far more information in a single prompt than earlier models.
Open-weight models allow users to download, run, and customise the underlying system. This sets Kimi K3 apart from closed-source models like those from Anthropic and OpenAI, which do not disclose parameter counts.
How Kimi K3 Stacks Up Against US Models
Moonshot says Kimi K3 performed competitively with Anthropic’s Fable 5 and outperformed Opus 4.8 and several GPT versions on GPU kernel optimisation benchmarks.
Arena, run by UC Berkeley researchers, ranked Kimi K3 first for web interface-building. Vals AI placed it second overall, behind Fable 5. Artificial Analysis compared its performance to OpenAI’s GPT-5.5 on complex, multi-step tasks.
However, Moonshot itself acknowledged that overall performance “still trails the most powerful proprietary models” from Anthropic and OpenAI.
Hussein Abbass, a computing professor at UNSW Canberra, said Kimi K3 looks strong in coding but it is “still unknown how competitive it is across the whole range of tasks.”
Market Reaction and China’s Growing AI Push
The launch hit rival Chinese AI stocks hard. Shares of Zhipu and Minimax fell 27.7% and 16.5% respectively in Hong Kong trading just before market close.
Some observers drew comparisons to DeepSeek’s release in 2025, which rattled assumptions about US dominance in AI. Kevin Xu, a tech writer and investor, wrote that he was “sensing a violent market reaction to Kimi K3, similar to a DeepSeek moment.”
University of Pennsylvania professor Ethan Mollick called Kimi K3 “closest to the frontier yet” among Chinese models.
Analysts say Chinese models are gaining ground partly because of cost. Lian Jye Su of Omdia said they “can be run at a fraction of the cost that OpenAI charges its clients.”
That said, running a 2.8 trillion-parameter model locally would cost hundreds of thousands of dollars in computing equipment, according to Ryan Fedasiuk of the American Enterprise Institute.
Moonshot is backed by Alibaba and Tencent and was reportedly seeking $2 billion in funding at a $30 billion valuation ahead of a potential Hong Kong listing.
The launch came as US government restrictions have delayed public releases from Anthropic and OpenAI, over concerns the models could help hackers break into online systems.
China’s open AI ecosystem continues to close the gap with US rivals, with firms like Moonshot, Z.ai, and MiniMax releasing powerful models at lower costs and faster timelines.
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