A tiny model just entered the AI race… and outperformed giants that cost 300 times more to build.
Moonshot AI’s Kimi K2 Thinking model was trained for just $4.6 million, and it’s now beating several proprietary models on reasoning and coding tasks.
Not competing. Outperforming.
Here’s why this is interesting.
Most language models act like advanced autocomplete, predicting the next word.
Kimi K2 does something different.
It reasons through problems step-by-step before responding.
And the results show up in benchmarks:
→ Stronger performance on tasks that require actual logic
→ Better results on multi-step coding challenges
→ More reliable reasoning in workflows that need progression, not pattern matching
The team even claims it competes with models like GPT-4o and, unlike many research demos, K2 is production-ready.
This is the shift we’re starting to see.
It’s not just about bigger models.
It’s about models that think, and think efficiently.
More updates coming as this new wave of “thinking models” evolves.
