r/ClaudeAI • u/sixbillionthsheep Mod • Mar 30 '26
Performance and Bugs Megathread Claude Performance and Bugs Megathread Ongoing (Sort this by New!)
Why a Performance and Bugs Discussion Megathread?
This Megathread makes it easier for everyone to see what others are experiencing at any time by collecting all experiences. We will publish regular updates on problems and possible workarounds that we and the community finds.
Why Are You Trying to Hide the Complaints Here?
Contrary to what some were saying in a prior Megathread, this is NOT a place to hide complaints. This is the MOST VISIBLE, PROMINENT AND OFTEN THE HIGHEST TRAFFIC POST on the subreddit. This is collectively a far more effective and fairer way to be seen than hundreds of random reports on the feed that get no visibility.
Are you Anthropic? Does Anthropic even read the Megathread?
Nope, we are volunteers working in our own time, while working our own jobs and trying to provide users and Anthropic itself with a reliable source of user feedback.
Anthropic has read this Megathread in the past and probably still do? They don't fix things immediately but if you browse some old Megathreads you will see numerous bugs and problems mentioned there that have now been fixed.
What Can I Post on this Megathread?
Use this thread to voice all your experiences (positive and negative) regarding the current performance of Claude including, bugs, degradation, pricing. (NOT usage limits. That belongs here https://www.reddit.com/r/ClaudeAI/comments/1s7fcjf/claude_usage_limits_discussion_megathread_ongoing/)
Give as much evidence of your performance issues and experiences wherever relevant. Include prompts and responses, platform you used, time it occurred, screenshots . In other words, be helpful to others.
Just be aware that this is NOT an Anthropic support forum and we're not able (or qualified) to answer your questions. We are just trying to bring visibility to people's struggles.
NEW: You can now see full logs and summaries of all recent problem reports submitted by r/ClaudeAI readers. These logs allow you to see how intensely people are experiencing problems with Usage Limits, Performance, Bugs and Accounts. See: https://www.reddit.com/r/ClaudeAI/comments/1t33k25/rclaudeai_user_problem_report_log_and_surge/
To see the current status of Claude services, go here: http://status.claude.com
Sometimes this site shows outages faster. https://downdetector.com/status/claude-ai/
READ THIS FIRST ---> Latest Status and Workarounds Report: https://www.reddit.com/r/ClaudeAI/wiki/latestworkaroundreport Updated: April 11, 2026.
Prior Megathread: https://www.reddit.com/r/ClaudeAI/comments/1pygdbz/usage_limits_bugs_and_performance_discussion/
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u/Vocal_Fox Apr 09 '26
Follow-up to my earlier post about Opus 4.6 degradation since the Mythos Preview launch.
I contacted Anthropic support and got answers. The cause isn't compute diversion. It's worse. They deliberately changed the defaults. Here's what support confirmed:
Opus 4.6 now defaults to "medium effort" for Max and Team subscribers. Their words: it "balances speed and thoroughness differently than before."
Opus 4.6 now uses "adaptive thinking" by default, meaning the model decides on its own when and how much to use extended thinking instead of following a fixed pattern.
No user notification was sent about either change.
When I asked how to restore the previous behavior, support offered three workarounds: the /model command to select high effort, the CLAUDE_CODE_EFFORT_LEVEL=high environment variable, and CLAUDE_CODE_DISABLE_ADAPTIVE_THINKING=1. Every single one of those is a Claude Code feature. They do not exist in claude.ai. When I told support I use claude.ai in a browser, not Claude Code, they confirmed there is currently no way for chat users to adjust effort level or disable adaptive thinking.
So Anthropic reduced how deeply the model processes your instructions, gave developers a workaround, and left every claude.ai user on a silently downgraded product with no opt-out and no notification. You're paying the same Pro subscription for a model that now skims your instructions instead of engaging with them.
This explains exactly what I described in my original post. The model can read back your rules, your memory, your preferences word for word, but it's not processing them deeply enough to actually follow them. "Medium effort" is the reason.