I'd like to give the new GLM models a try for personal stuff.
And I'm seeing the same thing in my sphere- everyone is bailing Anthropic the past few weeks. I figure that's why we're seeing more posts like this.
I hope they're paying attention.
It seems Cursor somehow builds a better contextual description of the workspace, so the model knows what I'm actually trying to achieve.
The problem is that with Cursor I'm paying per-token, so as GP suggested you can easily spend $100+ per month vs $20 on Claude Code.
Could it be related to this?: https://news.ycombinator.com/item?id=47660925
If you're trying to minimize cost then having one of the inexpensive models do exploratory work and simple tasks while going back to Opus for the serious thinking and review is a good hybrid model. Having the $20/month Claude plan available is a good idea even if you're primarily using OpenRouter available models.
I think trying to use anything other than the best available SOTA model for important work is not a good tradeoff, though.
Do you think this would be a decent approach?
Also, which client would I use for this? OpenCode? I don't think Claude Code supports using other models. Thoughts?
I use claude to build requirements.md -> implementation.md -> todo.md. Then I tell opencode + openrouter to read those files and follow the todo using a cheap (many times free) model.
It works 90% of the time. The other 10% it will get stuck, in which case I revert to claude.
That has allowed me to stay on the $20/month claude subscription as opposed to the $100.
And people keep claiming the token providers are running inference at a profit.
Not everyone gets $1K of usage, and you don't know how fat the per-token margins are. It's like saying the local buffet place is losing money because you eat $100 worth of takeout for $30.
Well, we're going to find out sooner rather than later. Right now you don't know how thin (or negative) the margins are, either, after all.
All we know for certain is how much VC cash they got. Revenue, spend, profit, etc calculated according to GAAP are still a secret.
$1K is not actual cost, just API pricing being compared to subscription pricing. It is quite possible that API has a large operating margins, and say costs only $100 to deliver $1K worth of API credits.
Extrapolating that out, the subscription pricing is HEAVILY subsidized. For similar work in Claude Code, I use a Pro plan for $20/month, and rarely bang up against the limits.
It's obviously capital-subsidized and so I have zero expectation of that lasting, but it's pretty anti-competitive to Cursor and others that rely on API keys.
That being said, they can't stop launching new models, so training is not a one time task. Therefore one might argue that it is part of the marginal cost.
My Claude Code usage stats after ~3 months of heavy use:
Favorite model: Opus 4.6 Total tokens: 42.6m
Sessions: 420 Longest session: 10d 2h 13m
Active days: 53/95 Longest streak: 16 days
Most active day: Feb 9 Current streak: 4 days
~158x more tokens than Moby-Dick
Monthly breakdown via claude-code-monitor (not sure how accurate this is):
Month Total Tokens Cost (USD)
2026-01 96,166,569 $112.66
2026-02 340,158,917 $393.44
2026-03 2,183,154,148 $3,794.51
2026-04 1,832,917,712 $3,412.72
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Total 4,452,397,346 $7,713.34