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Posted by lairv 22 hours ago

Claude Fable 5.2 and Mythos 5.2(www.anthropic.com)
783 points | 922 commentspage 3
stroebs 19 hours ago|
> Claude Mythos 5.2 is our most capable model for cybersecurity engineering. It catches more vulnerabilities than our previous models, and is better at reproducing and fixing them (note that Claude Fable 5.2’s safeguards will block most cybersecurity-related tasks).

Why even rank Fable 5.2's capability in Cybersecurity if you won't allow us to use it for that?

peddling-brink 19 hours ago||
Presumably for those in the CVP that can use those capabilities, and general notoriety. US gov is using at full strength too.
netsec_burn 13 hours ago||
As someone who is in the CVP to do cryptography research, I asked it a very reasonable research topic for cryptography that I'm working on.

> Mythos 5.2's safeguards stopped the response above

Opus 4.6 was the last useful model for my work. I plan to cancel at the end of this month. To replace it I'll likely go to either tinfoil.sh or privatemode.ai.

kragen 12 hours ago||
That's a very useful data point, thanks! I'm surprised it's triggered by cryptographic research.
gizmodo59 19 hours ago|||
Why you think you are the market for that? Its few enterprises only
stroebs 19 hours ago||
Blue-team exercises are totally valid, and requests to do proactive cybersecurity tasks even with source code available were blocked. Maybe these use-cases are part of the "55% fewer blocks with Fable 5.2 compared with Fable 5.1"
xiaoyu2006 19 hours ago||
To emph the need to block Chinese competition.
culanuchachamim 17 hours ago||
>The model that underlies Claude Fable 5.2 and Claude Mythos 5.2 is a step forward in general capabilities. However, during the model’s training, we took steps to limit advances in the specific research capabilities that could most directly accelerate AI development.

This means that they are blocking the research of AI to different people other than their own?

george_max 19 hours ago||
Looking at Artificial Analysis index, the price is absurd to me.

https://artificialanalysis.ai/

GPT-6.1 Sol costs $1.27 per task, whereas Fable 5.2 is $26.54 per task -- a ~21x price difference.

Fable 5.2 is not 21 times better than GPT 6.1 Sol, I find it hard to justify this.

Bolwin 19 hours ago||
Stop looking at fable max. On medium it's a bit better than Sol at $3.80. High and xhigh sit in between. In general you can ignore Max reasoning on Claude models if you care about price at all
kingstnap 19 hours ago|||
Max and xhigh reasoning modes are memes used for benchmarking usually. Medium and high cost $3.80 and $9.08 respectively. This is pretty comparable to other models.

6.1 sol is also an exceptionally cheap model in your comparision. On 6.1 sol high is $0.59, which is actually the same price as Deepseek 4.1.

redox99 16 hours ago||
Medium usually sucks. Xhigh is not a meme. High and xhigh are the efforts you should actually use.
svachalek 58 minutes ago|||
Medium usually gets the job done quickly and correctly for me. I use high when a request is out of the ordinary and has some tricks to consider. I haven't seen better results going higher.

That's for coding at least. For creating images (SVG, 3D models, etc), medium does usually suck, and every level above improves it.

jve 7 hours ago|||
Depends on what you do. Medium is really good for implementing yet another feature in my code, really.
usaar333 14 hours ago|||
> Fable 5.2 is not 21 times better than GPT 6.1 Sol, I find it hard to justify this.

How is this relevant? I'm willing to pay 21x more as long as the cost is less than my value of time saved

breakwaterlabs 12 hours ago|||
Most other competitive models will do the task at 90-105% of the performance, for 50% of the cost, and 1/3 the time.

AI generally underperforms human, so is "raw quality" is the only metric you would not use an AI. Time-to-completion-at-quality is usually pretty important and Fable is not good there.

gizmodo59 19 hours ago||
I think there are companies and say 1000s (not 100,000 or millions) of developers more than willing to pay that price for the edge. Or, they release this and then distill it to Opus 5.x. As a PR machine and for the edge use cases seems like its okay. But yes, not sustainable and it can last for a month or so before another company releases their frontier outpacing their numbers
wwind123 7 hours ago||
My experience is that, using Fable to do regular coding or code review work, it's not much better than Opus. But using Fable to do deep thorough audit of the codebase and the system, it's able to catch more problems than Opus can.
Calazon 6 hours ago|
Tried this today with 5.2. It caught a lot of problems and gave me an impressive report of its findings.

It also burned through my entire 5-hour limit in about 10 minutes. Granted, it had almost finished the whole review in those 10 minutes, so points for speed I suppose.

Silagi 2 hours ago||
You really can't let it go on its own; it'll spin up fable subagents and burn through usage laughably quick. You have to specifically tell it to follow guidelines on when to use which type of subagent and let it act as orchestrator and reviewer.

It's weird they've left that as a "gotcha", and I can't think of many charitable reasons for doing so.

hlincontacts 11 hours ago||
We've gotten to the point where you have to be doing some seriously ambitious stuff to see a difference between fable and opus. Both execute beautifully, but I think for my workflows I'll still be using opus 5.5
brcmthrowaway 10 hours ago|
And what are you using them for?
macrolime 1 hour ago||
I'm not impressed. First thing it did was literally destroy the entire codebase when I asked it to fix some bugs.
purpleidea 12 hours ago||
I'd pay twice as much per token if there was a guarantee they weren't nerfing the model and if it is as good as the original Fable was when it was released. I'm doubtful though. Whatever "tweaks" they've been doing (safety? performance? "saving the best for ourselves") has really taken away the magic for me. I want the LLM magic back.
dannyw 12 hours ago|
Are you paying API rates?

I'm pretty confident (from internal evals and monitoring over nearly six months now; across many models) API has never been affected by A/B tests / "nerfs" / etc.

purpleidea 11 hours ago|||
If they have different "models" depending on if you get it from Bedrock, API from Anthropic, or differing based on which subscription plan you're on, then that's fraud. Disclose the differences.

But FWIW for Fable specifically, I've noticed this via API rates from Anthropic directly. Eg: added cash to my $30/month account to use Fable, and still get obvious nerfing.

drited 12 hours ago||||
That's interesting, could you share a little more about the evals please? I'm interested in knowing how sensitive they might be to nerfing given in the UI at least the incremental changes can he quite subtle
stkdump 9 hours ago|||
But API isn't just twice as much as subscription, is it?
simonw 19 hours ago||
Pelicans for thinking levels low, medium, high, and xhigh:

https://tools.simonwillison.net/markdown-svg-renderer?url=ht...

max is in there too, but it ran out of reasoning tokens (128,000 limit) before it got to the actual SVG.

theraven 19 hours ago||
Before everyone jumps in the benchmaxxing comments, I genuinely find the pelicans a great bit of fun and whimsy amongst the chaos.

Interesting how low detail these were all up until xhigh.

Kotlopou 19 hours ago|||
I don't know, for me they lost the fun and whimsy aspect too, a long time ago. They have converged on more-or-less the same design (facing right, pastel color palette, etc.). Some of the lower-effort ones are a bit goofy at least, but now even that is being polished away.
tetraodonpuffer 19 hours ago|||
low detail but even high had the legs correctly one behind and one in front of the frame, don't remember other models getting it correctly at this low level of effort
usaar333 19 hours ago||
There's no legs on low and medium.

High gets legs correctly, but screws up the layering on the chain.

x-high is very good but there are minor laying error with the front chainring.

thefourthchime 16 hours ago|||
Scored only a 77/100 in PacBench, which I thought must have been a mistake.

https://jonclegg.github.io/pacman-bakeoff/#claude-fable-5-2

Then I clicked on it and realized it refused to make a Pac-Man game, and instead made up a new game. That's actually very slick.

user43928 16 hours ago||
I hate that Anthropic thinks it should subvert the legal process and undermine our legal rights by arbitrating them at the tool level.

If they are already overreaching here, and needlessly, what if their AI was actually super intelligent? Where will Anthropic stop?

techscruggs 1 hour ago|||
Your pelicans have become my favorite part of every model release. Thanks for doing this.
nxtfari 18 hours ago|||
I haven’t read any of the other model reasoning traces, but do many others now say “… which is a well known test of drawing ability” when beginning? Noticed it in the max reasoning trace.
simonw 17 hours ago||
I saw that in Haiku 5.5 as well: https://simonwillison.net/2026/Oct/7/claude-haiku-5-5/#pelic... - "This is the classic pelican-on-bicycle SVG test..."
nxtfari 16 hours ago||
Must be pretty cool to be embedded forever in the canon of the machine god’s weights :)
theraven 19 hours ago|||
Simon has there been other times where the front and rear wheels have been offset in rotation? The xhigh effort one is the first I’ve noticed of this
jansan 18 hours ago|||
I added a second iteration with the simple prompt

"Make it more realistic"

Well, the result is something. Be aware that it took 20 minutes and used 3 percent of my weekly Fable token (Ultra plan):

https://claude.ai/public/artifacts/c7e842c0-bf92-41af-82c6-3...

predkambrij 2 hours ago|||
106KiB svg. Wow.
simonw 17 hours ago|||
Hah, that's pretty great.
LarsDu88 18 hours ago|||
The fidelity of these pelicans is going to be based on whether the frontierlab has an RL setup specifically for making SVG images, lol

I know the latest Gemini release explicitly had something like this.

piker 19 hours ago|||
Seems like the higher levels just add more spontaneous detail. Like the "fingers" on xhigh. Comports with coding experience.
BrokenCogs 18 hours ago|||
In practice why would anyone use fable low?
Huppie 17 hours ago||
I haven't done any benchmarking of it yet but AA has it more intelligent, cheaper, and faster than Opus 5.5 high.

My experience working with Opus medium over Sonnet xhigh is similar, it's similar quality but cheaper and faster.

I hate to make a comparison with humans but I guess my view is you can get a better answer more quickly by asking a more intelligent human too.

pianopatrick 17 hours ago|||
So the AI can overthink too
jansan 19 hours ago||
It's a bit underwhelming, to be honest. And the fact that curves are not C-continuous where they obviously should be is disappointing. I think they are holding back with the real capability they could implement.
unshavedyak 20 hours ago||
Looks like some plans get extra fable usage: https://support.claude.com/en/articles/17506494-claude-fable...
raylad 5 hours ago|
Tested Fable 5.2 for some work tasks, using my automated commit reviewer plugin (https://github.com/rladr-org/reviewer-agent)

gpt-6-luna XHIGH as the reviewer agent still found plenty of bugs that Fable 5.2 missed!

Here was Fable's summary of the session:

  The reviewer ran 16 reviews over 9 commits this session (7 rejections, 9 required fixes, all valid); three of them, on the plan, changed how the numbers are computed.
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