Ask HN: Best value/money AI coding plan bundle?

4 points by anoojb •

I've been considering subscribing to a bundle from one of the purveyors of AI coding tools.

I currently have access to ChatGPT Pro, GitHub Copilot, etc. I've used Claude Code, but can't really distinguish the vibes between the models. However, I often run out of tokens at the "Plus" plan levels even when using GPT-6.1-Sol as my daily driver.

I'm considering Google Antigravity Ultra at the $100 tier. It also seems to include a generous rate limits and quota for their models and series of extra features including: cloud storage, YouTube Premium, etc.

I figure that if the Google models don't perform as well as the "frontier" labs then I can always supplement with $20 plans and have the Anti-gravity tooling use the more capable models as orchestrators and use subagents.

What do folks think, what's the best value for the money bundle out there right now?

Honestly. Just buy the Claude Prox 5x plan. it works great.

I've heard that folks using using a mid-tier Anthropic model like Sonnet 5.5 easily run into limits. When I use GitHub Copilot (for work) with Anthropic models I can easily rack up quite a significant bill.

This is why I'm comparing value for the money.

While Google may not have the "best" models, what's the point if you hit a wall with Claude Code? The extra baseline quota with Anti-gravity could be worth it.

The Google models are great "general purpose" and research LLMs, but they're relatively poor at coding.

The way I see it, you have two options.

1) Get on the Claude Max 20x plan and use Opus 5.5 for review/orchestration and Haiku 5.5 for grunt work. Haiku 5.5 is decent, cheap, and fast.

2) Deepseek 4.1 Flash in OpenCode.

You should also test MiMo v2.6. It's a little bit uneven, but might work well for whatever you're trying to do, and it's also cheap.

Can you share more about what makes them poor at coding? I haven't tried Google models, but I'm curious what issues you hit?

Yeah, having review/orchestration + subagents seems like the stndard way to optimize for cost/performnce.

Using OpenCode has been on the list to try. Logically, the value of a bundle from a larger company should technically beat out a smaller purveyor of open-weight models right? I also wonder how much OpenCode's token/sec throttling will impact my productivity?

Hacker News