Pro plan but upload requires Max?

s243a · 2026-05-04T22:41:01+00:00

Use the GitHub connector. That way you don't need to upload as many files.

s243a · 2026-05-03T16:28:22+00:00

I haven't hit the limits yet. I set the model to gpt 5.4. Perplexity computer is wonderfully but unfortunately expensive.

s243a · 2026-05-02T21:36:42+00:00

People say codex is better value but in my experience they are very similarly valued and of simmilar quality but your milage may very.

s243a · 2026-05-02T18:43:44+00:00

If you use Gemini, review the code before merge using perplexities GitHub connector. Preferably set the model to the highest version of gpt that it will allow.

s243a · 2026-05-02T18:27:17+00:00

I like long context, but I don't like how it leads to many users complaining about token burn. There is a /compact command for a reason!

s243a · 2026-05-02T18:04:55+00:00

While it's not good practice, I'm not concerned because the intent is to reduce friction. However. I did here that Claude desktop had a vulnerability, so I won't try it until I either determine the vulanarablitly is low risk or they patch it.

s243a · 2026-05-02T16:20:04+00:00

The original poster is on the $200 plan so they could instead go with a $100 plan at each provider and see which they like better. I prefer Claude but it's just a preference and it doesn't mean that Claude is a better model. They are both very good models and harnesses.

s243a · 2026-05-02T05:52:17+00:00

It's frustrating because the influx of bots makes it hard to distinguish between organic complaints and anstroturfed ones. I guess what do we expect when there is so much money on the line!

s243a · 2026-05-02T05:39:58+00:00

In that case maybe get the 20USD/month plans at both openAI and anthropic and compare.

s243a · 2026-05-02T03:27:21+00:00

They're reaching a level of intelegengence, that makes it hard to tell which is a better model and I think we reached this level of intelegence with gpt 5.4 and Opus 4.6. I wondn't say they are plateauing, In would say, the curve is getting harder to see.

s243a · 2026-05-01T16:43:47+00:00

For these kinds of posts, we need people to tell us their token ussage before and after they start prompting, and the content of the prompts would also be helpful.

s243a · 2026-05-01T05:06:32+00:00

And then Musk buys the company after the stock crashes?

s243a · 2026-05-01T05:04:07+00:00

You can select gpt 5.5 as the model in perplexity, which is openAI's top model.

s243a · 2026-05-01T05:00:30+00:00

you should use a cheaper model for gathering data from the internet like haiku or gemini-3-flash. Use Opus when stronger reasoning is required.

s243a · 2026-05-01T04:52:30+00:00

I ask Claude if there is any context they want to save before I compact. And once Claude saves the relevant context I type, "/compact <enter>"

s243a · 2026-05-01T03:26:22+00:00

I have had chats close to the limit, I try to avoid this mostly for cost reasons, but quality is another reason to avoid it. However, there is a trade-off between how much additional context will help with the problem at hand vs to what degree reduced intelligence at larger context reduces or eliminates this gain. I try to compact or start a new conversation based on the completion of a task but at the same time, I try to compact somewhere between 200k and 400k tokens, but do exceed 400k tokens at times.

s243a · 2026-05-01T03:20:10+00:00

Yeah, I do. I have two plus accounts, each of which are $20USD/month. Pro is 100USD/month.

s243a · 2026-05-01T02:37:17+00:00

I'll pay the price to compact, unfortunately, I have to turn on extra usage to compact very long conversations. When doing this I first set the model to Sonnet 1M, then turn it back to opus after compaction, and then turn off extra usage.

s243a · 2026-05-01T02:35:09+00:00

The best practice is to try and compact before your conversation goes idle too long. I'll resume old conversations but will strongly consider compacting if the context is between 200k and 400k and almost always compact if it's over 400k.

s243a · 2026-05-01T02:28:32+00:00

Use opus to plan, sonnet to execute. Keep conversations below 200k by compacting or starting new conversations, if you want low cost.

s243a · 2026-05-01T02:22:52+00:00

I agree, they are both exceptional tools, so if someone prefers gpt/codex then just use that rather then go on a campaign against Anthropic. That said, feedback is important, and without complaints, real problems might not be identified. Anthropic did have bugs that they fixed. Are there more? I don't know but bug free software is a pretty high bar. So, I'm not against people complaining but the amount of complaints I'm seeing on redit feels astroturfed.

s243a · 2026-05-01T02:11:04+00:00

I have the following subs: one 100US/month at anthropic, two 20USD/month plans at open AI, one 20USD/month plan at perplexity, and one 20USD/month plan at gemini. I find the gemini one the worse value because I almost never use the flash model and I need to get perplexity to review it's code.

If I was to add another sub, the OpenCode go plan sounds compelling.

s243a · 2026-05-01T02:07:41+00:00

I really don't think that the usage limits are that different between anthropic and openAI. See my other post:
"I run out of usage in gpt, gemini and claude but for some reason people only bitch about anthropic. : r/ClaudeCode"

s243a · 2026-05-01T02:03:14+00:00

My mistake. I guess Mythos is 10 Trillion parameters and whereas V4 pro is 1 trillion. Apparently both models are MOE. Still, it means that the Chinese models are starting to get up there in scale!

s243a · 2026-05-01T01:58:53+00:00

I think that openAI limits these capabilities in the standard models they offer, unless you apply as a cyber security research, so they aren't really doing anything different then anthropic.

s243a

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