Blog · 6 min read

llmdeal vs Bytez: 220,000 models, or the ones that work?

Bytez and llmdeal both put many models behind one API key. They make opposite bets on how to do it. Here is the honest, sourced contrast — every Bytez figure below comes straight from Bytez's own pages.

· llmdeal.me

Two different bets

Bytez is a real platform with a real strength: breadth. Its own tagline is "1 API key. 220,000+ AI models," and it pairs that with a library of 440,000+ research papers. If your work is exploratory — chasing an obscure checkpoint, reproducing a paper — that breadth is genuinely useful, and we will not pretend otherwise.

llmdeal makes the opposite bet. We don't try to be a catalog of everything. We run a small, curated set of strong models — each one picked, tested, and kept working — billed by the token from prepaid credit. This post explains where that difference actually shows up, so you can pick the right tool for your job rather than the bigger headline number.

Side by side

  Bytez llmdeal
Catalog 220,000+ models, open + closed A curated set of tested production models
Billing Monthly subscription tiers ($3 → $1,000) Prepaid credit, pay-as-you-go, no subscription
Model-size access Gated by tier — 35B unlocks at $10, 70B at $25, 120B at $50 ("coming soon") Every model in the catalog, no size paywall
API Unified Bytez API OpenAI-compatible — drop-in, change one base URL
Payment Standard subscription checkout Crypto, no-KYC (BTC, XMR, LTC)
Usage visibility Account dashboard Live per-request usage view — tokens, cost, latency
Free trial $0 tier — 1 request at a time, 7B models Trial credit on request — full catalog, no card

Bytez figures from bytez.com and its pricing page, accessed 2026-05-17 — see references.

What "220,000 models" actually means

The number is real, and it is also the whole story of the difference. A count that large is the open-model ecosystem counted end to end — every fine-tune, every fork, every research checkpoint and abandoned experiment. The overwhelming majority were never meant for production traffic, and most have not been touched in a year.

A catalog that big is a search problem, not a shortlist. You still have to find the handful of models that are fast, current, and reliable — Bytez hands you the haystack. llmdeal's bet is that for real work you want the shortlist itself: a small lineup we have already vetted, so the model you reach for is one we know answers quickly and stays up. Fewer models, zero guesswork.

Model size shouldn't be a paywall

On Bytez, the size of the model you're allowed to call is tied to how much you spend per month. Per its pricing page: a 35B model unlocks at $10, 70B at $25, and 120B at $50 — and that 120B tier is still listed as "coming soon." So the strongest models are both the most expensive to reach and, at the top, not shipped yet.

llmdeal doesn't gate by size. Your credit buys tokens, and every model in the catalog — small or large — is callable from the same balance. You choose the model that fits the task, not the model your subscription tier permits. Pay for what you use; use what you need.

How llmdeal is built differently

Prepaid credit, no subscription. You buy credit once and draw it down per token. Nothing renews, nothing lapses, no tier to maintain. Stop for a month and your balance is still there.

OpenAI-compatible. The API speaks the same shape as the OpenAI SDK. Adopting llmdeal is a one-line base-URL change — and so is leaving. No lock-in is a feature, not an oversight.

Crypto, no-KYC. Pay in BTC, XMR or LTC. No identity verification to buy credit or to be paid out.

Usage you can actually see. A live usage view shows every request — model, tokens, cost, latency — and your remaining credit. No mystery on where the balance went.

Founder-direct support. Questions reach a person who can act on them, not a queue.

History and staying power

The fair question to ask any small AI provider is: will you still be here next year? It is the right question — ask it of us too. Here is what the public record shows for Bytez.

Bytez was founded in 2018 in San Francisco — roughly an eight-year-old company. Its funding history on the major trackers shows a single seed round, led by 500 Global in 2019, with no later-stage or growth round recorded in the years since. The team is listed at around eleven people (Tracxn, March 2026). The product itself is real and live — none of that is in dispute.

Read those facts fairly. Eight years on one early seed round can mean a disciplined, profitable bootstrap that genuinely lasts — or a company running on fumes. From the outside, a customer cannot tell which. That uncertainty is the actual point. A longevity promise from any small platform — Bytez's or ours — is just words. The risk isn't specific to one company; it is structural to depending on a small provider at all.

So llmdeal doesn't ask you to bet on a promise. The API is OpenAI-compatible: if we ever stopped, you change one base URL and the same code runs on another provider that day. Your balance and full request history are visible and exportable — nothing is trapped. The real protection against any provider disappearing is not trust; it is never being locked in. We built llmdeal so that leaving is as cheap as joining — and that is the most honest answer to "what happens if you shut down" that any provider, us included, can give.

The honest summary

This isn't winner-take-all. Pick Bytez if your work is research-shaped — you need an obscure checkpoint, you want to browse hundreds of thousands of models and papers, breadth is the point. Nothing else matches that range.

Pick llmdeal if you want a small set of strong models that simply work, billed by the token with no subscription, no size paywall, crypto and no-KYC, and usage you can read at a glance. That is the entire job we built for.

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References

  1. Bytez — homepage and "220,000+ AI models, 1 API key" tagline — bytez.com — accessed 2026-05-17
  2. Bytez — pricing tiers, model-size unlocks, "120B (coming soon)" — bytez.com/api/pricing — accessed 2026-05-17
  3. Bytez — docs / model catalog and tasks — docs.bytez.com — accessed 2026-05-17
  4. Bytez — GitHub docs repository ("220,000+ AI models … largest serverless Model Inference API") — github.com/Bytez-com/docs — accessed 2026-05-17
  5. Bytez — company profile: founded 2018, funding rounds, team size — Tracxn company profile — accessed 2026-05-17

Every Bytez figure above is taken from Bytez's own published pages, accessed 2026-05-17. If Bytez updates its plans or catalog, the comparison should be re-checked. Article published 2026-05-17.