In January, I opened a spreadsheet, created a tab called “AI Costs,” and started logging every single dollar I spent on AI coding tools. Subscriptions, API calls, even the electricity my GPU burned running local models. Three months later, I have real numbers — and some of them surprised me.
This isn’t a theoretical pricing comparison. If you want that, I wrote a full breakdown of AI coding tool pricing for 2026. This is what I actually spent as a working developer shipping real projects, and whether any of it was worth the money.
My Setup
Before the numbers, context matters. I’m a full-stack developer working mostly on web apps — TypeScript, React, Node, some Python. I mix freelance work with a personal SaaS project. I code 6–8 hours a day, 5–6 days a week. I’m not a hobbyist, but I’m not running a 50-person engineering team either.
Here’s what I was paying for during the tracking period:
- Claude Max (the $200/mo plan for the first month, then dropped to $100/mo)
- Cursor Pro ($20/mo)
- API usage across OpenAI and Anthropic for custom scripts and automations
- Ollama running locally on an RTX 4090 for quick, private tasks
For a deeper look at how these tools fit into my day-to-day, see my AI development workflow for 2026.
The Numbers: Month by Month
Month 1 (January) — $275
| Tool | Cost |
|---|---|
| Claude Max (200 tier) | $200 |
| Cursor Pro | $20 |
| API usage (OpenAI + Anthropic) | $47 |
| Ollama electricity (estimated) | $5 |
| Total | $272 |
January was the expensive month. I’d just upgraded to the $200 Claude Max plan because I wanted unlimited access to the strongest models without hitting rate limits during a big project push. The API spend was also high — I was running a custom code review pipeline that made a lot of calls.
Month 2 (February) — $178
| Tool | Cost |
|---|---|
| Claude Max (100 tier) | $100 |
| Cursor Pro | $20 |
| API usage | $52 |
| Ollama electricity | $6 |
| Total | $178 |
I downgraded Claude Max to the $100 tier. Honestly? I barely noticed the difference for my daily work. The rate limits on the lower tier were generous enough. API costs crept up slightly because I started using the Anthropic API for a batch processing script.
Month 3 (March) — $158
| Tool | Cost |
|---|---|
| Claude Max (100 tier) | $100 |
| Cursor Pro | $20 |
| API usage | $33 |
| Ollama electricity | $5 |
| Total | $158 |
By March, I’d optimized my API usage — caching responses, batching requests, and routing simpler tasks to Ollama locally instead of paying per-token. This is where things stabilized.
Three-month total: $608. Average: ~$203/month.
What Was Worth It
Cursor Pro — Best $20 I Spend Each Month
No hesitation here. Cursor is where I live. Tab completions, inline edits, the chat panel for quick questions without leaving my editor — it’s deeply integrated into how I write code. At $20/month, the ROI is absurd. Even if it only saves me 30 minutes a day (it saves more), that’s 15 hours a month. At any reasonable hourly rate, that pays for itself many times over.
If you’re evaluating Cursor against other options, I compared it head-to-head with Claude Code in Claude Code vs Cursor 2026.
Claude Max ($100 tier) — Worth It, With Caveats
Claude is my go-to for complex reasoning tasks: architecture decisions, debugging gnarly issues, writing long-form documentation, refactoring large files. The $100 tier gives me enough headroom for heavy daily use without worrying about limits.
The $200 tier? Overkill for a solo developer. I used it for one month and the extra capacity went mostly unused. If you’re on a team sharing an account or doing extremely heavy agentic workflows, maybe. For individual use, $100 is the sweet spot.
Ollama — Criminally Underrated
Running models locally costs me about $5/month in electricity. That’s it. No API keys, no rate limits, no data leaving my machine. I use it for quick completions, commit message generation, throwaway scripts, and anything involving sensitive client code I don’t want hitting external APIs.
The models aren’t as capable as Claude or GPT-4 for complex tasks, but for 60% of my daily AI interactions — the quick, simple ones — they’re more than good enough. I wrote a guide on the cheapest way to run AI locally in 2026 if you want to set this up.
API Usage — Necessary but Needs Discipline
The API spend was the hardest to control. It’s easy to burn through tokens when you’re building automations. My custom code review bot was costing me $15–20/month alone before I added caching. After optimization, I got total API costs down to ~$30/month, which feels reasonable for the automation value I get back.
What Wasn’t Worth It
Claude Max $200 Tier (For Solo Use)
Already covered this, but it bears repeating. The jump from $100 to $200 didn’t meaningfully change my productivity. I was paying double for headroom I didn’t use. Unless you’re consistently hitting rate limits on the $100 plan, save your money.
Overlapping Capabilities
There were weeks where I was using Claude through Cursor, Claude through the Max subscription directly, and Claude through the API — essentially paying three times for access to the same model family. I eventually got disciplined about routing: Cursor for in-editor work, Claude Max for complex standalone conversations, API only for automated pipelines. Eliminating the overlap saved me real money.
The ROI Calculation
Let’s get concrete. I track my time, so I have real data here.
Estimated hours saved per month with AI tools: 35–45 hours
That breaks down roughly as:
- Cursor autocomplete and inline edits: ~15 hrs
- Claude for architecture/debugging/docs: ~10 hrs
- API automations (code review, testing): ~8 hrs
- Ollama for quick local tasks: ~5 hrs
At a conservative freelance rate of $100/hour:
- Monthly AI cost: ~$155–200 (stabilized)
- Monthly value of time saved: $3,500–4,500
- ROI: roughly 18–25x return
Even if you cut my time-saved estimates in half and use a lower hourly rate, the math still works overwhelmingly in favor of paying for these tools. The productivity gain isn’t marginal — it’s transformative.
Comparing the Tiers: What Should You Actually Spend?
Not everyone needs my setup. Here’s how I’d think about the spending tiers based on what I’ve learned:
No AI Tools — $0/month
Honestly, I can’t recommend this anymore in 2026. The gap between AI-assisted and unassisted development is too wide. You’re leaving massive productivity on the table. Even free tiers are better than nothing.
Free-Only Tools — $0/month
GitHub Copilot’s free tier, free ChatGPT, local models on modest hardware. This is viable for learning, side projects, and light use. You’ll hit limits fast if you’re coding full-time, but it’s a legitimate starting point. I compared the tradeoffs in free vs paid AI coding tools.
Mid-Tier — ~$40/month
Cursor Pro ($20) plus a basic Claude or ChatGPT subscription ($20). This is the sweet spot for most working developers. You get solid in-editor AI and a capable chat model for deeper questions. If I had to cut my budget to one tier, this is where I’d land.
Premium — $150–200+/month
My current setup. Worth it if you’re a full-time developer billing clients or shipping product, and you’ve learned how to actually use these tools effectively. The key word is effectively — throwing money at subscriptions doesn’t help if you haven’t built workflows around them.
For a broader look at which tools deliver the most value, check out my best AI coding tools for 2026 roundup.
What I’d Tell Myself Three Months Ago
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Start at the mid-tier. $40/month gets you 80% of the value. Scale up only when you’ve identified specific bottlenecks.
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Run something locally. Ollama with a decent GPU is practically free and handles a surprising amount of daily work. It also keeps sensitive code off external servers.
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Track your API usage from day one. It’s the only cost that can silently balloon. Set billing alerts. Add caching early.
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Don’t pay for overlapping access to the same models. Pick one path to each model and stick with it.
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The $200/month Claude tier is a luxury, not a necessity. The $100 tier is plenty for solo work.
The Bottom Line
I spent $608 over three months on AI coding tools. That’s real money — about $200/month averaged out. But against the 35–45 hours I saved each month, it’s not even close. The tools paid for themselves many times over.
The real cost of AI coding tools in 2026 isn’t the subscription price. It’s the time you spend learning to use them well enough that the investment actually pays off. The spreadsheet proved what I suspected: the tools are worth it, but only if you’re intentional about which ones you pay for and how you use them.
Start tracking your own numbers. You might be surprised — either by how much you’re spending, or by how much value you’re getting back.