Damn some timing, I just signed up few hours ago and within 3-4 hours spent over 50 bucks on my personal project (didn't realize that the launcher script I copied from an example had set effort to max). This is API use that consumes from your recharge amount. It found tons of issues with the code generated by Sonnet 4.6 (yeah I know, older model). Also didn't seem to burn through context window that fast (1M). The generated code works but quality could be better. Works fine with Claude code cli. The standout aspect was strong analytical abilities and a much more sobering and cautious tone (which is a good thing).

Will have to watch cost carefully though. If only I could get it at DeepSeek adjacent prices.

Early in the morning on the day Kimi K3 was released, I tried using Multi-Agent to execute a relatively complex research report. The whole process took five hours, involved 12 roles, and ultimately produced a 54,000-word report. I read through it carefully, and my feeling is that it could directly serve as an outline for a book or a documentary. I also observed the writing process—especially the repeated verification of potentially inaccurate data sources, as well as the reminders and adjustment suggestions regarding certain platforms. In short, I am very satisfied with this report, and I will use it as a reference for the subsequent documentary.

I tried it through siliconflow (I have no relationship to them other than as a normal customer) with the command line Pi agent and it's pretty good at adding features to a rust lang code repo. Compared to Deepseek V4 Pro there, M3 is about 3X the cost for non-cached input tokens and 5X the cost for output tokens. (both offering a 1M token context window). It certainly wasn't worh 5X the output of the Deepseek model for my uses, though.

I couldn't find any info on how they (siliconflow) quantized the model. I think some of the other ineference service aggregators might offer it as well, already.

Kimi k3 is noticeably less censored than anthropic models

Just open-source it already then ?

Currently using their 100 USD subscription, considering going up to their 200 USD subscription, because the model is approximately as capable as Opus (maybe sometimes better, sometimes worse) but less annoying to use in practice, a bit less of slop phrasing: https://blog.kronis.dev/blog/ai-slop-is-a-self-inflicted-tra...

The token limits do feel a bit less than I get with Anthropic Max 5x, but maybe that's because I've mostly been running it on Max reasoning (oh and Anthropic is also temporarily boosting the limits, who knows, it's hard to keep track of all of this stuff exactly) and there's plenty of tasks where High is still close enough in performance. The token limits still feel a bit more generous proportionally to the price compared to what I got when trying out the 65 USD tier of GLM Coding Subscription with GLM 5.2, and that was with the ZCode usage discount as well, though I did enjoy that harness.

Plus, if I decide to go with Kimi's annual pricing, then it'd come out to only around 159 USD per month or 139 EUR per month, which is really good and pretty close to what I pay Anthropic anyways: https://www.kimi.com/help/membership/membership-pricing

Shooting for the moon and then be surprised when you actually land there.

I hope they wire up new hardware quickly to handle the demand.

another reason why it’s great to have open weights: inference providers and your own hardware can ensure that you get the tokens you need even if a lab itself hits roadblocks (and there have been many in quality and availability)

They could've simply cut the usage limits, removed K3 from the plan, added a weekly cap, and called it "fair usage." Anthropic has been running that playbook for a while now, and they're a trillion-dollar company.

  Total usage
  12.85%
  Resets in 2026-08-17
  
  5-hour usage
  71.97%
  Resets in 07-20 03:14
  
  7-day usage
  31.29%
  Resets in 07-24 10:14

I already have a small sub. I think I can still upgrade/extend it, which is great.