Anthropic says OpenClaw-style Claude CLI usage is allowed again

Boiling the frog is an art form. You've got to know when to turn up the heat and when to let it simmer.

If you want LLMs to continue to be offered we have to get to a point where the providers are taking in more money than they are spending hosting them. And we still aren't there (or even close).

Aren't they just doing what Hacker News was trying to tell them to do? That AI is useful but not sure if sustainable. Now they're increasing prices and decreasing tokens and you guys are pissed off.

Would you please think of the shareholders

I’ve been using Codex Pro since they lobotomized Opus 4.6. Codex is so much better, GPT 5.4 xhigh fast is definitely the smartest and fastest model available.

For a while there I had both Opus 4.6 and Codex access and I frequently pitted them against each other, I never once saw Opus come out ahead. Opus was good as a reviewer though, but as an implementer it just felt lazy compared to 5.4 xhigh.

One feature that I haven’t seen discussed that much is how codex has auto-review on tool runs. No longer are you a slave to all or nothing confirmations or endless bugging, it’s such a bad pattern.

Even in a week of heavy duty work and personal use I still haven’t been able to exhaust the usage on the $200 plan.

I’ll probably change my mind when (not IF) OpenAI rug pull, but for spring ‘26, codex is definitely the better deal.

I also cancelled my 20x and switched to Codex. At this point even the Codex CLI seems to perform better than Claude Code... And so far I'm on the OpenAI Pro plan and haven't even needed to upgrade to their $100/mo plan. I'm getting more value for almost 10x cheaper.

I left anthropic a while ago because of the similar shenanigans they had earlier. I went with opencode & zen.

I still have their subscription, but am using pi now, mainly because something happened that made my opencode sessions unusable (cannot continue them, just blanks out, I assume something in the sqlite is fucked), and I cannot be bothered to debug it.

For what I use the agents, the Chinese models are enough

My experience is the opposite of this thread's consensus. Context: Full time SWE, working on large and messy codebase. Not working on crazy automations, working on fixing bugs, troubleshooting crashes, implementing features.

Anthropic models write much better code, they are easy to follow, reasonable and very close to what I've done if I had the time... OpenAI's on the other hand generate extremely complex solutions to the simplest problems.

I was so disappointed by non-Anthropic models, that for a couple of weeks I only used Anthropic models, but based on this thread, I'll go back and give it another try. It's good to go back and try things again every couple of weeks.

Of course, I was annoyed that they lobotomized 4.6, the difference was day and night, and Anthropic is certainly not a company I trust. In my opinion, it shows their willingness to rugpull, so I'm looking at other approaches. Since 4.7, things went back to normal, things you'd expect to work just work.

I switched to Droid+Opus (with Claude Max) many months ago and it was my favorite combo.

Had to stop because they don't like us proxying requests anymore.

Because the Harness is the Moat and key IP not the Models themselves that is the why! now for both OpenAI and Anthropic with all their money raised and the compute they acquire and have in the books of course no one can easily replicate, whom can afford all those datacenters and Nvidia GPUs interconnected is why OpenAI throws you a bone and gives you an Open Source SDK Harness but not the one they actually use for ChatGPT. But now both of them have to deliver and do all the bull-shet they said this models can do... truth is they cannot. So now the bubbles burst and we will see what happens. We all have to buy iPhones or MacBooks so that makes sense, we all use Chrome or Google Search, Instagram, TikTok.

All these models and agents are shortcuts for all of us to be lazy and play games and watch YouTube or Netflix because we use them to work-less, well the party will be over soon.

Almost seems like business leaders have to balance different aspirations and make tradeoffs. Unbelieveable.

What's puzzling or schizophrenic about that? Those seem like two very natural factors that would be in tension with one another and have to be balanced.

Is the tail end of the bubble, is just ridiculous things now. Models cannot made leap-improvements and now you have the enterprise to deal with and for enterprise is not about disruption so you can't break the wheel, you just need to make everyone work less.

But the bills comes thru, one has to pay AWS cause you need the servers, but pay AI agents that make mistake and everyone hopes they work just by typing and saying do x or y. And now they actually invented and engineering and deploy something called Adaptive Thinking and the models can allocate allocate zero reasoning tokens. Its game over, but it was over regardless, there is nothing special about models and they trained them now even with YouTube and soon to be Twitter(X), TikTok and bullshit. Now all those Nvidia GPUs interconnected via NVLink definitely powerful super computers, but the "software" let alone the "AI" is not there yet and OpenAI is worth close to 1 Trillions Dollars ... I mean come on!

And then recommends to use an API key, which as far as I know was never restricted, it was trying to use the subscription that was prohibited/limited.

I'm confused by the comments being full of people swearing off Claude, feels like real HN bubble stuff.

Same here. I've been on the Claude Max 20x plan for a while. Now I'm really giving codex a try and looking at the cheaper models as well.

I'm trying out codex for first time as well cause something up with Claude for sure, 4.7 has been super frustrating. For other models, highly recommend trying MiniMax 2.7, using it with Hermes is actually pretty good, and their token subscription plans include a lot of usage for $10.

Enshittification 101, codex is undergoing the same thing on a 3 month lag.

Or Claw-like harnesses that we make ourselves? It takes honestly like 15 minutes to roll your own, so I did it thinking "well, hopefully it's not considered third party"

The rug-pull risk is why each of my automations has its own model setting, so swapping a given one from Claude to GPT is a dropdown instead of a rebuild.\n\nRuns as a cloud service, so nothing to maintain locally. Built it at atmita.com if useful.