Kimi K3.1 Pro is REALLY BAD!
Star PandaCode on GitHub: https://github.com/aicodeking/pandacodeJoin this channel to get access to perks:
https://www.youtube.com/channel/@aicodeking/join
In this video, I'll be testing Moonshot's new Kimi K3.1 Pro on all six KingBench 4 tasks, and I'll compare it with Opus 5.5, GPT-6 Astra, Haiku 5.5, DeepSeek V4.1 Flash and the rest of my chart. I ran the whole benchmark through PandaCode, my fully open-source app for coding agents, which is tuned for Kimi Code, with six K3.1 workers running in parallel and a separate evaluator testing every project. We'll go through the emulator, the Docker alternative, the room designer, the keyboard app, Pokémon Red and the Fitbit app one by one, and then look at the final score, what the run actually cost and what the open weights mean. At the end, I'll tell you whether K3.1 Pro is worth using, because the launch blog's "almost Opus" story does not hold up in real projects.
--
Key Takeaways:
🚀 Kimi K3.1 Pro is Moonshot's post-trained K3 with a 1M context, a 2–3× faster Highspeed version, and open weights promised by November 4th.
📊 The launch blog claims 65.7% on Terminal-Bench 4.0, right next to Opus 5.5 at 66.4% and well ahead of GPT-6 Astra at 58.2%.
💻 I ran all six KingBench 4 tasks through PandaCode, which is fully open source and has a dedicated Kimi Code integration.
🧠 K3.1 scores 5.37 out of 10, sixth out of eleven, behind Opus, Astra, Sol, Argon and even Haiku 5.5.
✅ It is honest about what it didn't build, it blocked all 20 malicious images in the Docker task, and it speaks the real VIA protocol in the keyboard app.
⚠️ It built only the Game Boy part of the emulator, its Docker alternative has no build or networking, and Pokémon has broken levelling and a save-wiping title screen.
💸 The whole run cost about $31.88, compared with $7.40 for Haiku 5.5 and under $2 for DeepSeek V4.1 Flash.
🔍 Most of that bill is 110 million cached tokens that it re-reads on every step, not the code it writes.
🎯 Once the weights land, it will be the best-scoring open-weight model on my chart, ahead of DeepSeek Flash and GLM.
👍 Verdict: a good open model, not a frontier one, and on the API Haiku or DeepSeek Flash are the smarter picks for now. Receive SMS online on sms24.me
TubeReader video aggregator is a website that collects and organizes online videos from the YouTube source. Video aggregation is done for different purposes, and TubeReader take different approaches to achieve their purpose.
Our try to collect videos of high quality or interest for visitors to view; the collection may be made by editors or may be based on community votes.
Another method is to base the collection on those videos most viewed, either at the aggregator site or at various popular video hosting sites.
TubeReader site exists to allow users to collect their own sets of videos, for personal use as well as for browsing and viewing by others; TubeReader can develop online communities around video sharing.
Our site allow users to create a personalized video playlist, for personal use as well as for browsing and viewing by others.
@YouTubeReaderBot allows you to subscribe to Youtube channels.
By using @YouTubeReaderBot Bot you agree with YouTube Terms of Service.
Use the @YouTubeReaderBot telegram bot to be the first to be notified when new videos are released on your favorite channels.
Look for new videos or channels and share them with your friends.
You can start using our bot from this video, subscribe now to Kimi K3.1 Pro is REALLY BAD!
What is YouTube?
YouTube is a free video sharing website that makes it easy to watch online videos. You can even create and upload your own videos to share with others. Originally created in 2005, YouTube is now one of the most popular sites on the Web, with visitors watching around 6 billion hours of video every month.