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AI model purchase-channel comparison

Compare official and aggregator prices for the same AI model

CheapTokenz helps you compare purchase channels for token-priced AI models. See how much the same model costs on the official API and across aggregator routes, with a consistent view of pricing, context, and source coverage.

indexed models indexed sources free rows Updated

What this page answers

How much the same model costs on the official API, what aggregators charge for it, and how wide the current price gap is across purchase routes.

What CheapTokenz does not do

CheapTokenz compares published prices for the same model. It does not try to rank overall model quality, certify providers, or make trust claims it cannot yet justify.

How to read the table

Blended gives a practical default view of total token cost, while Input Spread isolates prompt-price differences. Together they show whether the same model is simply cheaper elsewhere.

Model Blended Input Spread Src Context

Methodology

How CheapTokenz turns official and aggregator listings into a comparable table

CheapTokenz normalizes raw provider model IDs into a canonical registry so the table compares like-for-like offers instead of loosely matching vendor labels. The goal is simple: compare published pricing for the same model across different purchase channels.

Same-model matching

Rows merge priced listings only when provider IDs resolve to the same canonical model. This avoids mixing dated variants, plan wrappers, and unrelated aliases into the same comparison row.

Price reading

Blended uses input + 3×output as a practical default for total token cost, while Input Spread compares prompt pricing only. Both are route-comparison tools, not model-quality scores.

Disclosure over judgment

CheapTokenz distinguishes source types and published prices, but it does not certify suppliers or claim that a lower listed price automatically means a better route.

CheapTokenz compares price transparency, not provider trustworthiness. Some rows stay out of the main public surface when model identity, pricing scope, or route labeling are too ambiguous for an apples-to-apples comparison.

Coverage

What the homepage covers right now

The table focuses on token-priced AI model offers with enough identity confidence to compare across official APIs and aggregator routes. It is designed for quick scanning first, then row expansion when you need provider-level price cards, raw model IDs, and source links.

Families

Coverage includes major families such as GPT, Claude, Gemini, DeepSeek, Qwen, GLM, Llama, Kimi, Mistral, Command, ERNIE, Grok, and related open-weight variants when they appear with priced provider listings.

Source types

The table can include both official APIs and routing or aggregation providers. Expanding a row shows the individual price cards so you can see where the model is being sold and at what published price.

What is not implied

A lower listed price does not automatically imply better reliability, quality, or route behavior. CheapTokenz is a comparison layer for published pricing, not a certification or endorsement layer.

  • Click a row to open provider cards with input price, output price, blended cost, context window, raw provider model ID, and a source link.
  • Use the search box or family filters to narrow to a model family, provider cluster, or free-only subset.
  • Use Blended when you want a practical total-cost comparison, and Input Spread when you care specifically about prompt price dispersion.
Dataset license: CheapTokenz publishes this normalized pricing metadata for public reference and evaluation with attribution to CheapTokenz. Provider names, model names, and source pricing pages remain subject to their respective owners and terms; verify current prices at the linked provider source before purchasing.

FAQ

Quick answers about what CheapTokenz compares and what it does not

These short explanations make the homepage easier to understand without opening every comparison row or assuming claims the site is not making.

What does Blended mean on CheapTokenz?

Blended estimates effective cost as input + 3×output and then measures the savings gap across providers for the same model.

What does Input Spread mean?

Input Spread compares only input token pricing across providers. It does not include output cost, so it is best for prompt-heavy or input-only comparisons.

Does CheapTokenz compare official APIs and aggregators together?

Yes. The table can include both official providers and routing or aggregation surfaces, but rows only merge listings that resolve to the same canonical model identity.

Are all provider listings shown publicly?

No. Some rows stay out of the main public compare surface when they are unresolved, outside the text-model scope, image-only, embedding-only, or packaged as unofficial community variants.

Does CheapTokenz certify or endorse providers?

No. CheapTokenz shows published pricing and source context, but it does not currently certify providers, assign trust scores, or make procurement guarantees.

Can I search specific models from the URL?

Yes. The homepage search box supports a shareable ?q= parameter, so a query-filtered view can be revisited or shared directly.

Video generation price board

Compare video generation cost by route, duration, resolution, and audio

This view keeps official APIs, cloud surfaces, and aggregator routes separate so per-second prices do not hide billing, regional, or access differences.

providers listings Updated Default sort: latest / hottest first; scenario cost breaks ties
Formula-derived and currency-normalized rows stay labeled. BytePlus Seedance uses official token formula estimates; Alibaba HappyHorse preserves CNY source pricing and FX metadata.
Model / Route Mode Resolution Audio 5s Cost Access
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loading...Blended = input + 3×output · click row ▼ compare