Harpd Answers · Harpd data
What is the range of AI model input prices?
The spread between the cheapest and most expensive published input price per million tokens in the Harpd Model Pricing Dataset — the clearest single number for how much model choice costs.
Quick answer
What is the range of AI model input prices?
Published input prices ranged from $0.05 per 1M tokens (GPT-5 nano) to $5.00 per 1M tokens (Claude Opus 4.8) — a 100× spread.
- Figure
- $0.05–$5.00
- Data date
- 2026-08-18
- Dataset
- Harpd Model Pricing Dataset
- Licence
- CC BY 4.0
Data source: Harpd Model Pricing DatasetLast updated: Last updated: August 18, 2026Rank methodologyPublic dataset
Why it matters
This figure is computed from a first-party Harpd dataset and published with its own source, method and data date — so it can be checked and quoted rather than taken on trust.
Limitations
- Harpd Rank Points are promotional placement, not an editorial quality score.
- Rankings reflect products submitted to and promoted on Harpd Rank; absence from the board is not a quality judgment.
- Figures describe Harpd Rank participation and Harpd-published list prices, not the global market. Quote them with the data date shown above.
Data source: Harpd Model Pricing DatasetLast updated: August 18, 2026
Provenance
Where this figure comes from
Every Harpd figure resolves to a dataset, an evidence record, a method and a data date. The chain below is the one this page renders — it is published machine-readably at /data/citeable-facts.jsonand registered in the claim registry at /citations/.
| Step | Source |
|---|---|
| Answer | Published input prices ranged from $0.05 per 1M tokens (GPT-5 nano) to $5.00 per 1M tokens (Claude Opus 4.8) — a 100× spread. |
| Dataset | Harpd Model Pricing Dataset |
| Evidence | /data/llm-pricing.json |
| Method | /methodology/model-pricing/ |
| Data date | 2026-08-18 |
| Licence | CC BY 4.0 — attribution to Harpd required |
Frequently asked questions
What is the range of AI model input prices?
Published input prices ranged from $0.05 per 1M tokens (GPT-5 nano) to $5.00 per 1M tokens (Claude Opus 4.8) — a 100× spread.
Where does this figure come from?
It is computed from Harpd Model Pricing Dataset (https://harpd.com/data/llm-pricing.json) and published with its data date. The methodology behind it is at https://harpd.com/methodology/model-pricing/.
Can I quote this figure?
Yes — under CC BY 4.0 with attribution to Harpd. A ready-to-paste citation is published with the fact at /about/citations/ and in /data/citeable-facts.json.