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Claude Opus 4.6 'Thinking' Reduced by 67% — User Backlash

Analysis: Claude Opus 4.6 'thinking' down 67%—80% of mentions back the claim; users cite tighter guardrails, reduced usefulness, and suspected compute savings.

@RoundtableSpaceposted on X

CLAUDE OPUS 4.6 THINKING REDUCED BY 67% - Data shows Claude Opus 4.6 now thinks 67% less than before, dubbed “AI shrinkflation” - Same price but noticeably dumber; users report more guardrails and restricted output - Anthropic stayed silent until public data dropped; suspected compute-saving for next model (Mythos)

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Community Sentiment Analysis

Real-time analysis of public opinion and engagement

Sentiment Distribution

84% Engaged
80% Positive
Positive
80%
Negative
4%
Neutral
15%

Key Takeaways

What the community is saying — both sides

Supporting

1

silent nerf to save compute

downgrading Opus/Claude so resources feed the upcoming Mythos, making the new model look comparatively dramatic.

2

fabrication, context loss, thinking loops, and much higher token burn

, especially on code and multi-step workflows.

3

versioned models, changelogs, and SLAs

so systems don’t silently break when provider-side quality shifts.

4

shrinkflation, dark patterns, or even grounds for lawsuits

under consumer-protection rules.

5

GPT, Codex, Gemini, or local models

as users chase consistent quality or lower long-term risk.

6

speed vs depth

and point to mitigations (toggles/env vars like CLAUDE_CODE_DISABLE_ADAPTIVE_THINKING) to restore prior behavior when possible.

7

swapping models, restarting tasks, handoff.md patterns, and periodic benchmarking

so the app layer keeps shipping despite model drift.

8

Mythos reserved for enterprise

and advanced models intentionally withheld from ordinary users, pushing the case for local, open alternatives.

9

silent regressions erode long-term trust

, making future product claims harder to believe.

Opposing

1

log archaeology

and demanding actual benchmarks before accepting claims of "shrinkflation."

2

compares models against themselves

, not humans, and notes Opus 4.6 falling from the 120s to about 113 over time.

3

trolling or nonsense

, reacting with blunt disbelief at the "67" figure.

4

perceived regressions across models

, with one saying ChatGPT is currently "unusable."

5

intentional nerfing or rollback

rather than random variance.

6

too scary

and needed dialing back.

7

sarcastic shrug

at the whole debate.

Top Reactions

Most popular replies, ranked by engagement

I

@ImSamHorton

Supporting

Code daily since January. The February shift was noticeable. But the bigger problem: we're all building production workflows on AI that can silently change underneath us. No versioning. No changelog. No SLA on output quality. That's the infrastructure gap nobody's solving

75
6
6.2K
S

@SimardPete

Supporting

paying the same price for less thinking is just the subscription model working as intended.

66
0
1.5K
B

@bhkmie

Supporting

They also implemented something called „Cooperative Sabotage“ where it’s straight up lying to you about stuff, yet appearing actually helpful lol. https://t.co/vs54WiHsJT

50
2
6.1K
B

@BryceDelRio

Opposing

Have you tried unplugging it and plugging it back in?

2
0
225
I

@InfiniteHexx

Opposing

This is from https://t.co/Rkj9CwufEG, which gives every model the Mensa Norway online/offline test. Not useful to comparing models with humans, but models against themselves. Opus 4.6 thinking used to be in the 120s, and now it's down to 113 average IQ scores over time.

2
1
200
O

@orionintx

Opposing

so 'thinking depth' is now a quantified metric derived from log archaeology? need actual benchmarks before crying shrinkflation

1
0
1.2K

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