Latency, cost per million tokens, and quality of business reasoning. Real measured data.
Quick context
Tool comparisons age poorly. We wrote this one with real 2026 data and we update it every quarter. If something doesn't match what you see on the official pages, write to us and we'll correct it.
Axis 1: Cost per million tokens: the full table
There's no "best" tool. There's a best one for your case. The first axis is always the toughest: money.
- Published base price vs real price at scale
- Which essential features live in the most expensive plan
- Which "add-ons" look optional but aren't
Axis 2: Latency and quality in production
The difference between "it works in the demo" and "it works in production" is set by this axis. You can't evaluate it by reading landing pages.
- Performance with real operational volume
- Measured latency and response times
- How it behaves when something fails
Axis 3: Lock-in, function calling, and ecosystem
This is the least obvious one and the most painful if you get it wrong: the cost of switching later. Lock-in, migration, data export.
- Data portability (export in a usable format)
- Dependence on proprietary integrations
- Estimated cost and time of a migration
An honest comparison table
| Criterion | Option A | Option B | Option C |
|---|---|---|---|
| Entry price | $$ | $ | $$$ |
| Scalability | High | Medium | High |
| Learning curve | Medium | Low | High |
| Ecosystem | Broad | Small | Medium |
| Lock-in | Medium | Low | High |
The table above is illustrative; the full article on our blog includes concrete benchmarks with real volume.
Recommendation by profile
If you're just starting out: go for the simplest one, even if it's expensive. The cost of getting stuck and slowing down your project is greater than the price.
If you already have volume: review total cost of ownership over 2 years. "Free" tools get expensive with user seats, integrations, and maintenance time.
If you're technical: open-source self-hosted usually wins if you have DevOps muscle. If you don't, don't go there.
Common decision mistakes
- Choosing by demo UI, not by real need
- Not projecting costs over 12-24 months
- Ignoring the integrations ecosystem
Next step
If you want a personalized recommendation for your stack, at StriqTech we run quick audits with a written recommendation.
Frequently asked questions
Which one do you recommend for an Argentine SMB?
It depends on the case: for small teams without a dev, n8n cloud or Make. For technically capable teams with volume, n8n self-hosted wins on total cost.
Is it worth migrating if I already use another tool?
Only if your current tool blocks you on 2 or more dimensions: cost, features, or scalability. Migration costs time and risk, it's not free.
Do the recommendations change over time?
Yes. These comparisons are updated every quarter. If you see outdated data, let us know and we'll fix it.
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