Common misconception: Big tech companies burning massive cash build the best AI models. We assume price equals performance, like with luxury brands.
Reality check:
- Open-source models perform remarkably well
- Sentient(@SentientAGI)'s Roma Search proves it
- Orchestrating multiple open-source models → even better results
- Big Tech models ≠ only path forward
Keep building for an open AGI future. @0xsachi 🫡
🚀 Hello, Kimi K2 Thinking!
The Open-Source Thinking Agent Model is here.
🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%)
🔹 Executes up to 200 – 300 sequential tool calls without human interference
🔹 Excels in reasoning, agentic search, and coding
🔹 256K context window
Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns.
K2 Thinking is now live on in chat mode, with full agentic mode coming soon. It is also accessible via API.
🔌 API is live:
🔗 Tech blog:
🔗 Weights & code:
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