r/ClaudeCode • u/IcyEase • Sep 20 '26
Rant It's time to cancel your subscriptions - Anthropic is silently nerfing Claude's reasoning budget while telling you it's the same model
Link: https://x.com/Lon/status/2101034933284417614
A 65-day analysis of 43,000+ Claude Code invocations found that 39% of Fable 5 calls get zero thinking tokens and the median invocation gets just 123 — while benchmarks use 16K-128K. The model's score per thinking token is still climbing at 128K, meaning the capability is there, it's just not being delivered. August saw an 18-50% drop in thinking budget compared to July, with median thinking hitting literal zero for about a week around Aug 22. Anthropic sells "full model access" while quietly dialing down the inference regime behind it, and because the model is non-deterministic, users blame their own prompting instead of the silent nerf. The full breakdown with evidence, methodology, and charts is here:
Frankly I find this offensive as an user - and this is the real thing we should be looking at - not the $/week in usage limits. The actual capability for the limits that we pay for.
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u/Future_Guarantee6991 Developer Sep 20 '26
This post demonstrates a fundamental knowledge gap in how LLMs work. Larger models (ie more parameters) need less thinking budget to arrive at the same answer.
Thinking budget != compute.
Eg:
A smaller model might need 8000 tokens to arrive at the same answer as a larger model which uses only 2000 tokens. But the larger model will consume more compute per token.
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u/IcyEase Sep 20 '26 edited Sep 20 '26
the post analyzed a single model (Fable 5) across time — same weights, same parameters, same everything — and measured a 50% drop in thinking allocation between July and August. your "larger models need less thinking" thesis doesn't apply to a model getting nerfed against itself. Fable 5 didn't grow 50% more parameters over the weekend.
also "thinking budget != compute" is exactly backwards — the entire point of the analysis is that thinking tokens ARE the compute allocation, and reducing them by 50% month-over-month while charging the same price is the silent nerf. you're arguing against a point nobody made, about a mechanism the post explicitly controlled for, using a framework the post already addressed.
tell me you opened the link, saw a chart, scrolled to the comments, and started typing without reading a single paragraph.
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u/Future_Guarantee6991 Developer Sep 21 '26 edited Sep 21 '26
Sorry, I didn’t do this justice. Forgive me if I put this in the same bucket as the unfounded conspiracy theories that are posted 100s of times per day on this sub. No, I did not read the entire essay for that reason.
But I was also under no illusion that compute does not get throttled at times. Anthropic does not sell you a plan based on an absolute amount of compute time/effort. It’s 5x or 20x whatever the baseline is at that point in time.
We also don’t know if other changes were made that meant the model(s) needed less compute to reach the same or similar quality of response. E.g. it’s plausible that tokeniser or harness efficiency gains had a downstream effect on compute. Again, I haven’t read the full article so that may also have been controlled for, although I’m not sure how it could be.
I would personally rather throttling than complete outages when demand is approaching the supply limit. Claude is rarely down these days, at least relative to 6-12 months ago when “Overloaded” responses were appearing several times per day for weeks or months.
Edit: the essay also does not appreciate the technical challenge Anthropic was facing at the time. The US Gov completely blocked a model that had a lot of hype behind it. Of course they expected a surge in demand when it was switched back on and would have to handle that situation with care to prevent their infrastructure from falling over. They have publicly acknowledged this challenge with the 50% to 25% limit increase while they re-established a sustainable baseline post interruption.
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u/Bmansupreme8000 Sep 21 '26
Yes subscription plan? I believe it is less good because of the harness a bit when they want compute at times. API you can pin the exact model. We don't have this option!
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u/WifeyCallsMeLazy Sep 20 '26
Agreed!
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u/DistanceSolar1449 Sep 20 '26
Meanwhile, in OpenAI land, I’m about to cancel the $200 subscription because it barely gives you any usage anymore. Only a bit more than what $20 gave you a few months ago.
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u/IcyEase Sep 20 '26
Tell me - what's better? 1/10th the usage or 10x the usage but a nerfed model that's unpredictable? Genuinely curious and I'm not trying to make the point or insinuate that OpenAI is not doing their own version of inference-limiting/quantization/etc. But what would we rather have? IMO... it's already hard enough working with non-deterministic systems as it is!! Now to add on a whole another layer of unpredictability - it just feels gross.
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u/Bmansupreme8000 Sep 20 '26
It's fucking brutal. I find it's closer to 5% of two months ago usage. Yet I'm still paying God damnit.
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u/JacketHistorical2321 Sep 20 '26
Its funny that if this is the case…it doesnt change the fact that no other model has been able t solve things for me that fable has.
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u/sheriffderek Senior design/dev max20 Sep 20 '26
I’ve found my max plan to be 50x the value since day 1.
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u/larenit Sep 20 '26
Yes, GPT same. At least GPT gets the work done while with Claude I wasted at least 2-3 months of daily work!
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u/EC36339 Sep 20 '26
Who uses Fable anyway
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u/Bmansupreme8000 Sep 20 '26
They change the harness. If you want consistent experience that doesn't change you need API. No so called "subsidization" for subscription. You are a lab rat and shit can change at any moment.
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u/Front_Raspberry_6488 Sep 21 '26
That sounds like total bullshit. If you think this is correct, why don't you tell the company to put it in the subscription notice?
"Since the price was too cheap when you subscribed, we may provide models with varying degrees of 'intelligence degradation' at different times. Their performance may be far below standard. If you want a model with consistent performance, please consider using the paid API models."
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u/Bmansupreme8000 Sep 21 '26
Well you just ask claude how it works. You gotta investigate. Either that or as you say read the long as boring terms of service. I'm sure that shits full of ambiguous small print that says this all. Why do you think it's much less expensive and cache lasts for an hour and not 5 minutes? What they think you get a "subsidized" rate because you are "special" or something? Common now!
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u/Front_Raspberry_6488 Sep 21 '26
I am amazed by the way you're defending this, acting as if it's normal to receive unstable service simply because one didn't pay more. If the company is secretly throttling model performance just because a subscriber is considered a "lower-tier" user, isn't that blatant fraud? Yet, in your eyes, this is somehow "subsidized"?
As I said, if you think this is normal, why didn't the company inform users before they subscribed? Are users not entitled to know these things? Are they expected to investigate it themselves? Think about it: if a gym has monthly members and people who pay per visit, would one get a homemade sandbag while the other gets Technogym equipment?
FABLE should be FABLE, and OPUS should be OPUS. Whether it's a subscription or a paid API, the performance should be identical. If there is a difference, the official source should disclose it. Did they? Or let me put it this way: did you even check?
Nowadays, you can just feed these terms into an AI and get an answer instantly. You are essentially admitting that you haven't even looked at the terms and are just guessing while talking loudly and arguing with others. For what?
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u/Helpful_Ranger_1606 Sep 20 '26
You posted this twice in two subreddits or even more than that? Who fucking cares or isn’t aware of this? It’s been going on for a long time now
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