There's an issue with this index where many models are listed in the model chooser, but missing from the index. E.g. Qwen 3.8 Flash Next is listed but missing, as are older Claude (4.6, 4.5, etc) or OpenAI models. This makes it a bit tricky to see the improvements over time.
They removed Qwen Flash Next and GLM Flash from their benchmarks, as of two days ago. They're not publishing any figures at all for them (they show as "N/A").
edit to add: It's very disturbing, because these open models (GLM particularly) were among the best of all LLM's on their benchmarks. On the intelligence/cost frontier, specifically. Archive.org remembers that GLM Flash was in their green quadrant just a few days ago, next to Haiku:
well if there was any doubt about why openweight models were ranking lower on every iteration of the benchmarks... this should remove all doubt. to just flat out remove is very overt
I just double-checked my Samsung TV. I only bought it so it could connect to my Apple TV or Switch, so I don't need their software. Thankfully I was already cautious when I bought it and apparently never connected it to any of our networks.
It would make me so happy if this would allow running UTM.app with Hypervisor support on iPadOS. I don't want to travel with two devices, the would be enough, but sometimes I need a real desktop. Apple, of course, wants you to buy two devices. I do have UTM with Jit Linux running on my iPad, via altstore and entitlements and so on, but it is all a bit complex and still fairly slow.
I don't want to toot my own horn but I developed a mix of Photoshop / Pixelmator for AI assisted Photo editing and I use it every day instead of Pixelmator Pro [ 1 ]. I think it is in many respects the better app because I added many features I always wanted to have (replicate layers, any content as masks, crazy effects, etc). Granted it is buggy and still needs polish, but most software has bugs. So I've completely switched over to a complex AI generated app.
The weights have yet to be released. The previous MiniMax M3 had (I think) ~428B parameters. Since this one is called Flash and they advertise it as inference being 3 times faster, there's the possibility that this will be a ~150B size model which would (quantized) run on DGX Spark or 128GB Macs or the new AMD AI systems.
The FAQ on their website says Minimax 3.1 flash is 428B total, 23B active
Which is roughly similar to deepseek 4.1 flash.
I find it interesting that we’re calling these “flash” models now, even though they aren’t “small or light” and in many cases aren’t particularly that fast.
I suppose it’s more so that the standard for “regular models” is becoming 1T+
Flash probably means single expert fits into some cost efficient GPU memory, and non flash models require more complex and cost expensive architectures.
Though it was done roughly 1-2 months ago, a very busy work / private life kept me from finally releasing it. Interesting to see this being released on the same day. Though Pixellect has a different mission. Its not a clean room photoshop clone but more between Pixelmator and Photoshop and also features (I think) a bit more AI Integration. However Photocraft looks much more complete in terms of typical Photoshop features.
It was only 4 months ago that AI development was in question because there were no vibe-coded Photoshops. Here they are, and I think more will come.
> Dots are rolling out in ChatGPT on web, mobile, and desktop starting today to Pro users in markets excluding the European Economic Area, Switzerland, and the UK
Living in the EU, I suspected as much. Still sad. I understand it is because we voted in a bunch of imbeciles, still sad though.
It is the point. Also open source model enthusiast tell you otherwise, there is a coding quality gap between these models. If I use DeepSeek, I do so knowing that I have to limit to simpler tasks on smaller, well specified prompts. What the author did, letting the model do the planning, is not something DeepSeek will excel at. I'm using GPT (Terra, Sol, Luna), Claude (Opus 5, Fable), Qwen 3.8 and GLM 5.3 Flash daily and have to vary which model I use where because there's a huge intelligence step function difference here. That's why this article is so useless:
Imagine someone trying to make the case that riding bicycles is a terrible experience and their whole argument is that they took a random cheapo bike with flat tires and rode it for 3min and that wasn't fun. Sure, but if you buy a 25k carbon bike you will have a different experience. I'd not trust that person. If someone told me they have 10 bikes they ride daily and can explain the differences, in detail, between their bikes, and what they excel at. I'd trust that person's opinion.
There’s a night-and-day difference between frontier and budget models, no question. But the issue isn't the tooling at all : if you put someone who doesn't know the rules of the road on a $15k carbon road bike, they're just gonna slam into a telephone pole at 30 mph instead of 6 mph
Excellent analogy. This paragraph invalidates the entire post and honestly just looks lazy. The author may be right anyway, but with that level of experience with these tools, he is really just guessing.
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