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Snapshot 2026-10-06 10:22 UTC: 80 AI coding plans, 53 comparable
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---
license: mit
language:
- en
tags:
- ai
- coding-agents
- pricing
- llm
- open-data
- comparison
pretty_name: AI coding plan prices (tokens and requests per dollar)
task_categories:
- question-answering
size_categories:
- n<1K
configs:
- config_name: default
data_files:
- split: train
path: plans.jsonl
---
# AI coding plan prices (tokens and requests per dollar)
What the flat rate AI coding subscriptions cost, and what you actually get for the money: published
quotas, per model spending caps, included models, and the resulting tokens and requests per dollar
paid. This is the dataset behind [vibeplan.cc](https://vibeplan.cc/coding-plan-comparison/).
Snapshot of this revision: **2026-10-06 10:22 UTC**, 80 plans from 26 providers,
53 of them directly comparable, built from 30 official sources.
Disclosure split: 51 disclosed, 21 reference, 4 partial, 2 reported, 1 undisclosed, 1 measured.
## Files
- `plans.jsonl` - one plan per line, the fields described below (this is the file to load).
- `latest.json` - the complete dataset exactly as the website loads it, including the comparison
tables, the AI score snapshot, the FX rates and the changelog.
## Columns in `plans.jsonl`
- `id`, `name`, `provider` - plan identity.
- `price` - effective monthly price in US dollars, **fees included**, plus the billing period.
- `meter`, `quotas`, `windowCaps` - the plan's own published limits (messages, tokens, requests,
hours) and how they reset.
- `modelRows`, `modelStats` - per model rates and the per model spending caps a plan applies.
- `disclosure` - how well the plan documents its limits: `disclosed`, `partial`, `reported`,
`reference` (kept for context, not comparable) or `undisclosed`.
- `dataTier` - A/B/M/C/D quality tier of the source situation behind that plan.
- `sourceIds`, `verifiedAt` - where each figure came from and when it was last checked.
- `notes`, `priceNote` - the plain language caveats that belong to that row.
Rates are normalised to tokens per US dollar and requests per US dollar of the price actually paid,
at a target comparison price of 1 USD.
## Loading
```python
from datasets import load_dataset
ds = load_dataset("harrytyp/ai-coding-plan-prices", split="train")
ds[0]
```
## How it is built
Rebuilt every day from around 30 official sources (provider pricing pages, docs,
plan pages) by the pipeline in the
[source repository](https://github.com/harrytyp/coding-plan-comparison). The build never guesses a
number: where a provider does not publish a quota, the field stays empty and the plan is marked as
not comparable instead of being estimated. Prices include card and processing fees, so the figure is
what you actually pay.
## Limits, stated plainly
- Only plans that publish a hard recurring limit are comparable, 53 of 80 at this snapshot.
Providers with vague or unpublished caps stay out of the rankings on purpose.
- `reference` rows are documented plans that cannot be ranked (for example because nothing is
published about the included amount).
- API prices per token are a different question and are not part of this dataset.
- Promotional pricing exists (first month discounts, annual billing). The dataset keeps the
effective monthly price and the billing period rather than hiding it in a single number.
## License and citation
MIT, same as the site. Numbers change daily, so cite with a link to
[https://vibeplan.cc/](https://vibeplan.cc/) rather than copying figures.
Corrections and source suggestions: [issues](https://github.com/harrytyp/coding-plan-comparison/issues).