This is a most excellent place for technology news and articles.
Looks like China's gone from being 6 months "behind" to more like 6 weeks "behind."
Kind of pricey, but still the cheapest in its weight class. Could be they're simply squeezing what profits they can out of it. I read that they're planning to open the weights in August, at which point third parties will be able to compete based on whatever the actual cost of running it is.
Can't wait to find out how big the investor subsidies were to make this model, alongside the subsidies for whatever it probably copied off (OpenAI? Anthropic?) It would be funny if it weren't for the harm done in the process
There's information about Moonshot's funding on its Wikipedia article. They haven't IPOed, they've received about two billion in investment from various investment firms and other big companies.
Sonnet 4.6 price equivalent, with half to a third of it's tok/s. It'll be interesting to see if the near gpt 5.6 or opus 4.8 level is accurate.
It's not released as open-weight yet. They plan to do so on the 27/07, so I just hope that is not a tactic to build momentum then change their mind à la Elon for the hype. Nonetheless, performance wise it's amazing, only downside is the size ... 3T. Good luck running that on "consumer hardware".
According to artificialanalysis.ai's latest benchmarks, it scores better than Opus 4.8 set to max, despite costing half as much per task.
It also beats the top models of some of the largest US tech companies such as xAi, Meta, Google, and Nvidia.
I wonder what the US tech investors will think of this, and what this will mean for the financial AI bubble.
Open models crossing the 3T barrier this quickly is wild. 🤯 The interesting part isn’t the parameter count though: it’s whether developers can actually run, fine tune, and build useful products around it. If the benchmarks hold up in the real world, proprietary labs just got another serious competitor.
I’m happy to see the Chinese labs start competing on SOTA… but hot damn that price is a turnoff.
Anyone tried Kimi 2.7 Coding out in practice yet? Curious to know how it fares against Deepseek 4 and similar budget options.
Looks like they intentionally priced it just a little less than Opus... probably to give the impression that it's a cheaper alternative without people thinking it's too cheap for a SOTA model and getting suspicious.
As usual, the AI marketing is more sophisticated than the actual technology.
> "open source"
> look inside
> no source
And even if they publish the model it's almost always just open weights
Despite being a highly competitive model overall, K3 nonetheless exhibits a noticeable gap in user experience compared with Claude Fable 5 and GPT 5.6 Sol.
So they admit that the benchmarks are bulshit? Lol.
You have to give them your phone number or have a Google account to use it?
You can use it through openrouter
You can use a temporal phone number to receive the SMS and get logged in.
The world's greatest thieves stole more than anyone else and compiled it into the world's greatest bullshit generator... Impressive.
