Nikclas – Compare the prices of different AI models
Nikclas compares $/1M token prices across frontier AI models so you can ship the same quality for less. Read this in: Espanol | Francais | Deutsch | 中文 Contents 1. Overview Nikclas is a single-page React application that answers one question: which AI model does the same job for the least money?
- ▪Nikclas compares $/1M token prices across frontier AI models so you can ship the same quality for less.
- ▪Read this in: Espanol | Francais | Deutsch | 中文 Contents 1.
- ▪Overview Nikclas is a single-page React application that answers one question: which AI model does the same job for the least money?
Hacker News (AI / LLM) files mainly under ai. We currently carry 6,128 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/NikclasTech/nikclas |
| Publication time | Wed, 23 Sep 2026 14:30:23 +0000 |
| Retrieval time | 2026-09-23T14:34:30.866Z |
| Last seen | 2026-09-23T14:34:30.866Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | OlpvQl1V7cz_ · 1 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Nikclas Stop overpaying for tokens. Nikclas compares $/1M token prices across frontier AI models so you can ship the same quality for less. Read this in: Espanol | Francais | Deutsch | 中文 Contents 1. Overview 2. Features 3. Tech stack 4. Project structure 5. Getting started 6. Pricing data 7. Available scripts 8. Automation 9. Contributing 10. License 1. Overview Nikclas is a single-page React application that answers one question: which AI model does the same job for the least money? It opens with a thesis hero (live price board sorted by input $/1M) and continues with a head-to-head comparator: pick a provider and a model on each side, see the price gap, and get a verdict with the exact saving per 1M input tokens. All prices load live from the LiteLLM Model Catalog API. 2.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.