Kimi K3 is the world's first open 3T-class model — frontier performance across coding, knowledge work, and reasoning, with native multimodality and 1M context.
While its overall performance still trails the most powerful proprietary models, Claude Fable 5 and GPT 5.6 Sol, Kimi K3 demonstrated frontier-level performance across our evaluation suite, consistently outperforming other tested models.
K3 is @Kimi’s 2.8T-parameter MoE model with 1M context and native multimodality.
It is built for long-horizon coding and knowledge work, and the results already put it directly into the frontier-model conversation. K3 can work across large repositories, use vision while iterating on games and frontend work, and keep going through much longer agent runs with limited supervision.
A browser extension would be huge, being able to highlight text on any webpage and ask Kimi to explain or summarize it without copy-pasting back and forth. Would also love seeing a shared workspace where my team can drop files into one folder and everyone asks questions against the same set of docs.
If it can actually produce 3D models like in the demo video, that would be extremely impressive. I've used older versions of Kimi and I've found it pretty impressive, so I'm actually really hyped to try K3 when I get a chance.
I wonder why there is a gamboy advance in the slides? Can it make gba rom files from a prompt? Also. whats pricinging going for?
K3 has a 1M-token context—what's the largest real-world task you've successfully completed end-to-end that simply wasn't practical with previous models?
wow, I'm really excited for this new model. Does it also supports image processing?
I'd love to see Kimi integrate with more file types, especially video and audio files. The real-time web search feature sounds incredibly useful, but I'm curious - how does it handle search queries with multiple keywords or complex phrases?
Dropped a 40-page PDF into Kimi and asked it to compare it against a competitor's doc, and it pulled the right figures without me re-uploading anything. The slides maker is rough around the edges but shockingly fast for a first pass.
honestly the multi-file thing blew me away, dropped in like 20 mixed pdfs and slides and it actually pulled everything together coherently
"Kimi K3 is the best performing model [for @Next.js], ahead of Fable, reaching a comparable success rate in less time."
This is a breakthrough moment for open models. Three months ago, @Claude by Anthropic models were ahead for work requiring correctness and accuracy. Not anymore. LFG!
We’re excited to introduce Kimi K3, our new open frontier model built for long-context, multimodal, agentic work!
Kimi K3 has 2.8T parameters, a 1M-token context window, and native multimodal capabilities. Under the hood, it introduces Kimi Delta Attention for much faster decoding in million-token contexts, plus Attention Residuals for more efficient training.
We built K3 especially for long-horizon coding, research, financial analysis, and self-evolving agent workflows — the kinds of tasks where models need to stay coherent, use tools, inspect outputs, recover from failed attempts, and keep going.
Kimi K3 is live now on Kimi.com, Kimi Work, Kimi Code, and the Kimi API.
Open weights are coming July 27, 2026.
Would love to hear what you build with it.
About Kimi K3 on Product Hunt
“The world's first open 3T-class model”
Kimi K3 launched on Product Hunt on July 17th, 2026 and earned 436 upvotes and 13 comments, earning #3 Product of the Day. Kimi K3 is the world's first open 3T-class model — frontier performance across coding, knowledge work, and reasoning, with native multimodality and 1M context.
Kimi K3 was featured in Open Source (68.6k followers), Artificial Intelligence (474.1k followers) and Development (6k followers) on Product Hunt. Together, these topics include over 125.3k products, making this a competitive space to launch in.
Who hunted Kimi K3?
Kimi K3 was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Kimi K3 stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Zac Zuo
Hi everyone!
Isn’t this pretty astonishing?
And the team is still being humble about it:
K3 is @Kimi’s 2.8T-parameter MoE model with 1M context and native multimodality.
It is built for long-horizon coding and knowledge work, and the results already put it directly into the frontier-model conversation. K3 can work across large repositories, use vision while iterating on games and frontend work, and keep going through much longer agent runs with limited supervision.
You can use it today on Kimi.com, Kimi Work, Kimi Code, or through the API.
Full weights arrive on July 27.
And the landscape may look very different after that..!