r/Anthropic • • Apr 13 '26

Performance CLAUDE OPUS 4.6 IS NERFED!!

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3.6k Upvotes

(meaning Anthropic has reduced its capability since its launch)

Last week Claude Opus 4.6 ranked #2 on the Hallucination benchmark with an accuracy of 83.3%.

Today Claude Opus 4.6 was retested and it fell to #10 on the leaderboard with an accuracy of only 68.3%.

A 98% increase in hallucination.

bridgebench.ai just confirmed that Claude Opus 4.6 has reduced reasoning levels and is nerfed.

r/Anthropic • • Apr 16 '26

Performance "Our Strongest Model Yet"

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2.9k Upvotes

r/Anthropic • • 17d ago

Performance Anthropic struggling to keep up

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1.6k Upvotes

r/Anthropic • • Apr 05 '26

Performance Opus 4.6 destroys a user’s session costing them real money

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1.4k Upvotes

r/Anthropic • • 6d ago

Performance Claude rechecked a physicist's year of PhD math in 10 hours and found a sign error

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965 Upvotes

10 hours to sift and check a year of work is insane to me

r/Anthropic • • May 28 '26

Performance Opus 4.8 nerfed??

960 Upvotes

Is anyone else seeing a massive performance drop in Opus 4.8 since release??

It used to be acceptable, but the enshitification has definitely happened. It’s basically been lobotomized, and we’re talking amateur backyard ice pick lobotomy by some guy from Tufts.

I’m 99% sure Anthropic has started running a 2-bit quant to save money.

Oh well. I do feel nostalgic for opus 4.8’s glory days. But subscription cancelled. I’m off to use Codex or Cleverbot, whichever one has better limits.

r/Anthropic • • Jul 30 '26

Performance Opus 5.0 sucks

425 Upvotes

Honestly the headline speaks for itself, 5.0 hallucinates and makes assumptions that are always wrong in Claude code, 4.8 never used to do this. Or the odd occasion when it did it has never been this bad.

This stinks.

r/Anthropic • • Apr 07 '26

Performance $1B to $30B in 15 months 🤯

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1.0k Upvotes

r/Anthropic • • Jul 21 '26

Performance Is this Fable the same model we used in the first week?

252 Upvotes

Hi, I know this might sound stupid, but I am amazed by the drop in the quality of the Fable over the past few days. First, we had a sharp, smart model with truely new horizon and angle capabilities that audited the plans and technical tests like a pair of scissors, finding problems that rounds of checks had not found. Now we have this model that GLM 5.2 found 5 and Sol finds 7 problems in the text Fable wrote, proofread, and approved. And, truly, this has happened all day long in the last two days. It is weired at least.weird,

r/Anthropic • • Aug 12 '26

Performance Still early but some of first benchmarks for DeepSeek V4-Pro 0813 lands at 87.9, within a tenth of a point of Fable 5's 88.0, at roughly 57x cheaper on output pricing

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504 Upvotes

r/Anthropic • • Feb 20 '26

Performance cool

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1.5k Upvotes

this was after working for days (memory linked to my coding cli btw) on a fully asm based 3d high poly physics system.

r/Anthropic • • Jul 13 '26

Performance an honest review of gpt 5.6 and fable

445 Upvotes

To be clear here, I use both models and they absolutely have their own use cases. I have had a $20/month ChatGPT plan since its release in 2022, and upgraded my Claude plan to the same when Claude Code released. After seeing the significant edge opus had over the earlier gpt models in coding I was more than willing to shell out $100/month for my max plan (kinda funny that 12 months later there's no way I would even pay for models of that quality).

Fable made me certain I would stay with that decision on its initial release. GPT 5.6 made me reconsider, and OpenAI's decision to remove 5 hour limits yesterday ("temporarily", lets hope it's as temporary as Fable usage as been) has pretty much sealed the deal.

I intentionally gave both models the same vague prompt in a fresh session to review my codebase, as I'm nearing the final stages of production of my project:

"Can you find anything at all thats still unoptimized, incorrect, can be improved, should be added, hygeine issues, or just general suggestions? im aware this is vague, its intentionally so, but i still want you to be targeted/optimized in how you fan out."

Fable 5 Medium used 7 subagents, around 1 million tokens, and 65% 5 hour/6% weeky (12% of fable!!) on my $100/month 5x max plan limit.

GPT 5.6 Sol Medium used 3 subagents, around 300k tokens, and 10% of my $20/month weekly limit (5 hour limits are gone).

Codex returned more quickly and was more economical, while producing an output of essentially the same quality. Each model found its own issues with my repo which is why multi-model systems are important for agentic development, however, if I wished to run a second pass of this calibre I would receive a session limit from Claude, resulting in my cache to expire by the time I could continue it, whereas on a Codex plan that is 5x less expensive, I have the freedom to run multiple more audits and verification passes. Not to mention the 5 free resets I have in my back pocket, so at this point I might as well upgrade to a $100/month Codex subscription and immediately get $500 in value from it (which I'll be doing soon).

This isn't to say use one or the other, this isn't crying out to cancel your Anthropic subscription and jump ship to OpenAI. The competition is real and Anthropic could do something just as crazy as dropping 5 hour limits next week to get us to stay. This is to say that as someone who has seen the edge Claude models had over the last 12 months while utilizing both companies' products, this latest release has significantly closed the gap and unless Anthropic starts giving consumer usage a bigger priority, they will lose the loyalty they worked hard to build. Not to mention an enterprise user who weighs cost, efficiency, reliability, and quality--the clients and companies I work with are all using or moving to ChatGPT plans as on a larger scale economics take priority. Anthropic may still slightly hold the top on the quality bar, but that isn't enough to win the market share they need at this stage of rapid model progression.

If you read my rant, I thank you. If you want to argue, I welcome it. I love these tools, and I love what they've enabled me to create. I think the people who play teams on this stuff are stupid, we are in the golden era of usage where we benefit from true capitalistic competition and you should be taking full advantage of it.

edit: had 2021 up top meant 2022 lmao

r/Anthropic • • Jul 15 '26

Performance Anthropic you are likely making a mistake.

218 Upvotes

* Earlier You guys have been generous with reset limits and we appreciate that.

* You guys increased Fable the last min - people already worked Friday, Saturday, Sunday to use as much as possible and ran out of limit - now if you guys increase the limit it doesn't help with out another reset.

* Your computer published a model which is more efficient and faster where your model keeps looping to get the thing done - hence keeps wasting tokens.

Questions for you -

  1. I'm not able to work for last 24 hours. I either have to get another Anthropic subscription or a better model that is out there. Which happens to be cheaper too. Which one do I pick ?

  2. The amount of time Fable keeps falling back to opus is a disaster. And also that's for no reason whatsoever why would I pay my subscription to use this restricted unstable model that just keeps burning my tokens ?

  3. What makes you so confident that people are not going to switch over to open ai ? I believe you guys have analytics that tells you how many active users are there or not.

  4. Companies grow when they take care of their users which you guys did as well. But will it stay big that depends on the consistency. Does your day to tell you that you guys are being consistent ?

Just a thought @Anthropic. We are here losing our sleep grinding to use your model as much as possible and you playing with user sentiments. That's broken trust.

Anyway,

I did not use AI to write this guys - I am out of limits.

r/Anthropic • • Jul 12 '26

Performance Fable 5 vs GPT Sol 5.6

186 Upvotes

Long time Claude user, first time post-er. Anthropic has taken a lot of heat lately, really since they botched Opus 4.6-4.8, put out a Sonnet that eats for tokens than Opus 4.8 and were government restricted with the initial Fable release, but I have stuck with them because I hate Sam Altman ever more, don’t trust OpenAI with some of my physics work and stopped using ChatGPT as soon as Claude code became available.

My question, has anyone used Sol 5.6 and can honestly say it’s better or even close to Anthropic models? Can anyone give examples that aren’t rebuilds of World of Warcraft/minecraft/etc. I run 3 businesses, all use AI 1 marketing/sharepoint/shopify/odoo integrates and the other 2 are physics companies but I have never found Chat GPT to be good at the sciences. Grok is really good at engineering and science but lacks the dev tools ability I am looking for. Tried GLM 5.2 and Deepseek 4 locally, but I just don’t have enough vram to make that a viable option yet. Any thoughts?

r/Anthropic • • Jul 02 '26

Performance Fable 5 BridgeBench re-run results

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404 Upvotes

It’s worth noting that OP said this is a routing problem and NOT a direct Fable 5 regression

> “in case I wasn’t clear, this is a routing problem not the model itself. the routing classifiers which Anthropic mentioned will improve, are redirecting some of the requests to Opus 4.8”

OP tweet: https://x.com/hesamation/status/2072692225100612032?s=46&t=ma1yL55mNVPFHkyaDymViw

r/Anthropic • • 23d ago

Performance Anthropic appears to have proved a famous mathematical conjecture, but researchers are still trying to understand WHY?🤔

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128 Upvotes

Anthropic's artifact, posted in a pinned GitHub commit on August 28, contains a Claude-generated Lean development aimed at the famous percolation conjecture.

Coincidentally, fields medalist Hugo Duminil-Copin published an essay on August 30 lamenting precisely this possibility - that only an AI could solve tis problem.

He had spent years thinking about the problem, and wrote that AI would probably solve it before humans did. His unsuccessful attacks had nevertheless generated ideas that later produced other mathematics.

And here's the surreal part:
The machine may know that it is true before humans know why it is true.

Lean can check an enormous sequence of formally specified deductions. If the definitions, theorem statement, dependencies and kernel are sound, you can get something very close to: theorem accepted✓

without yet possessing the compact human conceptual model: “Ah! Of course. This is why it works.”

That's what the mathematicians are now doing: semantic decompression.

Story

r/Anthropic • • Apr 27 '26

Performance 4.7 just be yapping

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541 Upvotes

Like shut it and just get stuff done, I ain’t reading all that XD

r/Anthropic • • Nov 25 '25

Performance Claude Opus 4.5 broke a benchmark by being too clever and exploiting a loophole

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870 Upvotes

r/Anthropic • • 8d ago

Performance Claude designed quantum circuits up to 39x cheaper than the best published ones

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477 Upvotes

The rate of progress is insane

r/Anthropic • • Jun 23 '26

Performance Major Outage

195 Upvotes

Looks like everyone is getting due to a major outage:

API Error: 500 Internal server error. This is a server-side issue, usually temporary — try again in a moment.

As per usual, they'll probably reset the daily/weekly limits.

Update:
I might be mistaken, but I think they might be re-introducing Fable. What do you guys think?

Update 2: We're getting reports that someone generated a prompt so large while trying to use Opus 4.8 to center a div that it exhausted the model's context window and overloaded Anthropic's servers, causing an outage...

r/Anthropic • • Aug 20 '26

Performance What is actually the difference between Opus 5 and Fable 5?

87 Upvotes

I really don't get it. Anthropic says Opus 5 is surprisingly close to Fable 5, with Fable mainly pulling ahead on harder reasoning and long workflows.

But like... what's the point? I can manage my own workflows. Why is Fable still WAY more expensive and restricted if Opus 5 is supposedly getting this close? Fable is literally 2x the price. I feel like there's a bigger difference here that Anthropic isn't really explaining.

And honestly, in my own use, I don't even think Opus 5 is that close to Fable 5. Fable is way better for me at reasoning, coding, debugging, ideas, and keeping a bunch of concepts straight. I'm literally using Opus 4.8 right now because 5 keeps scrambling shit when I give it a complicated task.

I've been wondering about this for a while and waiting for some sort of improvement with the models post-release. So far, nothing though. That's just my experience. What do you guys think?

Edit: I don’t think people realize how close/better anthropic says Opus 5 is to fable five. Here’s a link if you guys wanna check it out yourself https://www.anthropic.com/news/claude-opus-5

r/Anthropic • • 6d ago

Performance Anthropic engineers token limits

154 Upvotes

Do Anthropic engineers have token limits per month? Or they can spend as much as they want?

Cause I keep seeing these posts about how they merge thousands of changes per day, productivity etc and wondering whether they just slam the shit out of these models or they need to keep within some (probably really high) limits

r/Anthropic • • Apr 21 '26

Performance Please don't take Opus 4.6 and Extended thinking away. 4.7 is absolutely useless.

345 Upvotes

4.7 and adaptive (more like creative thinking) thinking has been giving me absolute nightmares. I keep having to patch up problem by giving more and more instructions to catch 4.7's errors, but it never stops coming. Basic searches of different locations becomes a grind, it never finds all the files that other models can find. It made up things on the fly and presented it as facts. If this is Mythos cut down version, it's worse than Chat GPT with whatever rubbish they trained it with. Please, take 4.7 back and work on it, and leave us alone with 4.6 and it's extended thinking, don't break what's working.

r/Anthropic • • Jun 05 '26

Performance I may be wrong but Claude Opus 4.6 > Claude Opus 4.8

208 Upvotes

I may be completely wrong over here, Opus 4.8 is the latest frontier, but I had a few sessions open with 4.6 , I thought 4.6 outputs were cleaner and more to the point , 4.8 tries to be more politically correct.

For coding I generally have MCP of all the tools I use, hence don't find much difference.

I can be completely wrong here as benchmarks say different and benchmarks are more trustworthy than what I observe.

Anyone else felt the same way.

r/Anthropic • • Jul 16 '26

Performance API Overloads: This is why Anthropic isn't able to just magically give everyone a whole bunch of free compute

123 Upvotes

I keep hearing people bitch about how Anthropic just needs to keep resetting, and do what OpenAI does, and how they are greedy blah blah blah for just not giving people more stuff.

You guys are ridiculous. They have compute constraints. They have to monitor and manage their load very carefully. They aren't doing resets last minute just to be dicks and piss everyone off, but they are walking a tight rope with demand that's hard to predict.

They don't want to just neuter Claude, like Google did. So they have to figure out how to distribute limited compute. And to do that, they had to create restrictions... But you guys act like they are just being assholes who do it for no reason, and all they need to do is just give you more.

Well... Now projects are impossible to do. They caved to the community pressure, reset everyone, now demand is through the roof, and API errors are non-stop, ruining agents and projects mid session.

They aren't doing this shit to just piss you guys off. Their compute demand is a known issue that they struggle to resolve. They aren't changing things last minute because they find it funsies. They do it because they know competition is fierce and they are calculating what they can actually achieve.

But you guys all act like they are just being greedy and refusing to allow you for the sake of it. That a for profit business is intentionally doing restrictions while a competitor hits the market, just to self sabotage. As if there's no real business reason for it.

Well, now you see why.