Correct snapshot figures, add plans.jsonl (80 rows)
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- plans.jsonl +0 -0
README.md
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---
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license:
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language:
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- en
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tags:
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- coding-agents
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- pricing
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- llm
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- benchmarks
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- open-data
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pretty_name: AI coding plan prices (tokens and requests per dollar)
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task_categories:
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- question-answering
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- config_name: default
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data_files:
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- split: train
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path:
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---
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# AI coding plan prices (tokens and requests per dollar)
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that this dataset is built from.
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Snapshot
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## Files
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##
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## How it is built
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Rebuilt every day from around 30 official sources (provider pricing pages, docs,
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by the
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publish a quota, the field stays empty
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comparable. Prices
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## Limits, stated plainly
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- Only plans
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- API prices per token are a different question and are not part of this dataset.
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- Promotional
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price and
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## License and
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[vibeplan.cc](https://vibeplan.cc/
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---
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license: mit
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language:
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- en
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tags:
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- coding-agents
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- pricing
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- llm
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- open-data
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- comparison
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pretty_name: AI coding plan prices (tokens and requests per dollar)
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task_categories:
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- question-answering
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- config_name: default
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data_files:
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- split: train
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path: plans.jsonl
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---
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# AI coding plan prices (tokens and requests per dollar)
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What the flat rate AI coding subscriptions cost, and what you actually get for the money: published
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quotas, per model spending caps, included models, and the resulting tokens and requests per dollar
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paid. This is the dataset behind [vibeplan.cc](https://vibeplan.cc/coding-plan-comparison/).
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Snapshot of this revision: **2026-10-02 19:08 UTC**, 80 plans from 26 providers,
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53 of them directly comparable, built from 30 official sources.
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Disclosure split: 51 disclosed, 21 reference, 4 partial, 2 reported, 1 undisclosed, 1 measured.
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## Files
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- `plans.jsonl` - one plan per line, the fields as described below (this is the file to load).
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- `latest.json` - the complete dataset exactly as the website loads it, including the comparison
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tables, the AI score snapshot, the FX rates and the changelog.
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## Columns in `plans.jsonl`
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- `id`, `name`, `provider` - plan identity.
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- `price` - effective monthly price in US dollars, **fees included**, plus the billing period.
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- `meter`, `quotas`, `windowCaps` - the plan's own published limits (messages, tokens, requests,
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hours) and how they reset.
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- `modelRows`, `modelStats` - per model rates and the per model spending caps a plan applies.
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- `disclosure` - how well the plan documents its limits: `disclosed`, `partial`, `reported`,
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`reference` (kept for context, not comparable) or `undisclosed`.
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- `dataTier` - A/B/M/C/D quality tier of the source situation behind that plan.
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- `sourceIds`, `verifiedAt` - where each figure came from and when it was last checked.
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- `notes`, `priceNote` - the plain language caveats that belong to that row.
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Rates are normalised to tokens per US dollar and requests per US dollar of the price actually paid,
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at a target comparison price of 1 USD.
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## Loading
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```python
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from datasets import load_dataset
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ds = load_dataset("harrytyp/ai-coding-plan-prices", split="train")
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ds[0]
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```
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## How it is built
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Rebuilt every day from around 30 official sources (provider pricing pages, docs,
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plan pages) by the pipeline in the
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[source repository](https://github.com/harrytyp/coding-plan-comparison). The build never guesses a
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number: where a provider does not publish a quota, the field stays empty and the plan is marked as
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not comparable instead of being estimated. Prices include card and processing fees, so the figure is
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what you actually pay.
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## Limits, stated plainly
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- Only plans that publish a hard recurring limit are comparable, 53 of 80 at this snapshot.
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Providers with vague or unpublished caps stay out of the rankings on purpose.
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- `reference` rows are documented plans that cannot be ranked (for example because nothing is
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published about the included amount).
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- API prices per token are a different question and are not part of this dataset.
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- Promotional pricing exists (first month discounts, annual billing). The dataset keeps the
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effective monthly price and the billing period rather than hiding it in a single number.
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## License and citation
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MIT, same as the site. Numbers change daily, so cite with a link to
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[https://vibeplan.cc/](https://vibeplan.cc/) rather than copying figures.
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Corrections and source suggestions: [issues](https://github.com/harrytyp/coding-plan-comparison/issues).
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