Kimi K2 isn’t chasing benchmarks anymore, It’s setting them. The world’s first open-source thinking model is here.
And it just made the biggest leap since GPT-4. Try it yourself → http://
kimi.com
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Kimi K2 sets benchmarks as first open-source thinking model since GPT-4
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K2 architecture with 1T parameters and 32B active MoE for reasoning
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The K2 architecture? 1T total parameters.
32B active MoE.
Optimized for reasoning, not just response speed. This is what “thinking AI” looks like. -
All open-source, all public: best large model, November 2025
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All open-source.
All public. This is the best open-source and open-access large model you can get as of November 2025. -
A working Obsidian clone built in one prompt, zero errors
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Here are some demos.
— God of Prompt (@godofprompt) 12 novembre 2025
Built a working Obsidian clone in one prompt.
2,000 lines of code.
Zero errors.
Even entry-level engineers can’t do that. pic.twitter.com/1hiw6dD06HHere are some demos. Built a working Obsidian clone in one prompt.
2,000 lines of code.
Zero errors. Even entry-level engineers can’t do that. -
Kimi aced Humanity’s Last Exam, now #1 thinking model
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HLE (“Humanity’s Last Exam”) is brutal thousands of expert-level questions across 100+ subjects. PhD students fail.
GPT-5 struggles.
Kimi aced it. It’s now officially the #1 thinking model in the world. -
Kimi beats Grok-4 on Humanity’s Last Exam with limited budget
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Most AI companies brag about “catching up” to GPT-5. Kimi just skipped ahead. It beat Grok-4 the $5B Elon-backed model on Humanity’s Last Exam, the hardest benchmark ever built for AI. How?
They pulled all that off with barely any budget and super limited resources. -
Open-source Kimi model outperforms GPT-5 using 1/1000 compute
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Kimi just released the best open-source thinking model last week. It topped benchmarks like HLE and BrowseComp, even beating big closed-source models like Grok-4 and GPT-5. And get this: they pulled it off using just 1/1000 of the compute those closed models use. Absolutely
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xAI drops Grok-4-Fast: 2M-token reasoning model, faster, cheaper
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xAI just dropped a monster: Grok-4-Fast Its a 2M-token reasoning model that’s faster than anything in its class and cheaper than lunch. $0.20 in / $0.50 out per million tokens. That’s 6× cheaper than Grok-4-0709 with the same brain. The wild part? It’s not just speed. It’s