aicostbudget-ai/ai-api-pricing

AI API Pricing Dataset

This Hugging Face dataset is the machine-readable distribution of the public AI API pricing records published by AICostBudget. It is not a separately curated subset: train.csv, prices.csv, and prices.json are generated from the same Pricing V2 public projection used by the AICostBudget Dataset page and download APIs.

Prices change frequently. Verify production billing decisions against the provider pricing page, contract, billing dashboard, and invoice.

Use the pricing data

Use the current pricing dataset to estimate a real AI API workload, compare models, or monitor price changes.

• Calculate your API cost with this dataset
• Compare these models interactively
• Track AI model price changes

Explore and download

• AICostBudget AI API Pricing Dataset
• Download the public JSON dataset
• Download the public CSV dataset

Published files

• train.csv: the CSV consumed by the Hugging Face Dataset Viewer
• prices.csv: the same normalized CSV download
• prices.json: metadata plus the complete public Website record set
• meta.json: generation time, verification date, and coverage counts for this export

train.csv and prices.csv are byte-for-byte identical. Unknown or unavailable prices are null in JSON and empty in CSV; they are never rewritten as zero.

Distribution rule

The export is deterministic:

1. Start from the checked-in Pricing V2 Website projection.
2. Exclude compatibility aliases because they are not independent public pricing rows.
3. Exclude rows marked excluded_default_candidate by the verified pricing pipeline.
4. Preserve Website legacy fallback rows only when the public Pricing Table adapter still exposes them, including the warning that they are not default-safe verified prices.
5. Export exactly the resulting public Website key set; no provider, family, or status-specific allowlist is maintained for Hugging Face.

The canonical provider and pricing facts live in the AICostBudget pricing data repository. Website-owned legacy display metadata is used only for explicitly marked fallback rows. The exporter does not fetch or guess prices.

Fields

Field	Meaning
provider_id	Stable provider identifier.
provider	Human-readable provider name.
model_id	Stable public model identifier.
model	Human-readable model name.
input_price_per_1m_tokens	Standard input-token price per 1M tokens.
cached_input_price_per_1m_tokens	Cached-input price per 1M tokens when available.
output_price_per_1m_tokens	Standard output-token price per 1M tokens.
currency	Pricing currency; current records use USD.
pricing_unit	Normalized unit; current records use 1M tokens.
status	Public lifecycle/status label from the Website projection or marked fallback.
availability	Public availability label.
official_source_url	Provider source used by the verified pricing pipeline.
verification_status	Canonical record status such as verified, review_required, or partially_verified.
last_verified_at	Record verification date; it is not refreshed merely because an artifact is rebuilt.
checked_at	Date the source was checked, kept separate from verification.
effective_from	Provider-stated effective date when available.
effective_until	End date when a selected price record has one.
notes	Source context, projection warning, or legacy fallback warning.
pricing_tier_count	Number of structured context-dependent pricing tiers.
pricing_tiers	JSON-only structured tier records, including thresholds and source references.
pricing_tiers_json	CSV-only lossless JSON serialization of pricing_tiers; [] when no tiers apply.

Load with pandas

import pandas as pd

url = (
    "https://huggingface.co/datasets/"
    "aicostbudget-ai/ai-api-pricing/resolve/main/train.csv"
)

pricing = pd.read_csv(url)
print(pricing.head())
print(pricing["provider_id"].value_counts())

Load with Hugging Face Datasets

from datasets import load_dataset

pricing = load_dataset(
    "aicostbudget-ai/ai-api-pricing",
    split="train",
)

print(pricing)
print(pricing[0])

The train split is the current published pricing snapshot. It is not intended as model-training supervision data.

Direct Hugging Face files

https://huggingface.co/datasets/aicostbudget-ai/ai-api-pricing/resolve/main/train.csv
https://huggingface.co/datasets/aicostbudget-ai/ai-api-pricing/resolve/main/prices.csv
https://huggingface.co/datasets/aicostbudget-ai/ai-api-pricing/resolve/main/prices.json
https://huggingface.co/datasets/aicostbudget-ai/ai-api-pricing/resolve/main/meta.json

Freshness semantics

• generated_at is the artifact generation timestamp copied from the checked-in pricing metadata.
• last_verified_at belongs to each record and means the price was verified against its source.
• checked_at records a source check that may not have reached verified status.
• review_required and partially_verified records keep last_verified_at empty; neither checked_at nor generated_at is substituted.
• Rebuilding this distribution does not rewrite record verification dates.
• Validation requires generated_at >= max(last_verified_at) and rejects future timestamps.

For current coverage and timestamps, inspect meta.json. The source repository also contains schema checks, price validation, history, snapshots, and freshness workflows.

Methodology and contributions

• Methodology
• Contributing
• Data license
• Code license

Prices are accepted from official provider pricing pages, documentation, APIs, or announcements. Third-party aggregators and search snippets are not final price evidence.

Citation

AICostBudget. AICostBudget AI API Pricing Dataset.
https://github.com/aicostbudget/ai-api-pricing-data

Website Tools

Continue from the dataset to estimate, compare, or monitor AI API pricing:

• Calculate your API cost with this dataset
• Compare these models interactively
• Track AI model price changes

Disclaimer

This dataset is informational and may lag provider changes. AICostBudget is independent and is not affiliated with or endorsed by the listed providers. Provider names and trademarks belong to their respective owners.

If this dataset saves you time, consider liking it on Hugging Face so you can find future pricing updates more easily.