Unquant serves GLM-5.3-Flash Uncensored at full precision — no quantization, no compromise — a 328-billion-parameter Mixture-of-Experts model with 262K-token context, vision, and tool calling, uncensored at the tensor level. Unlimited tokens. Unlimited messages. One monthly price.
The beta round funds our first dedicated serving nodes. Founding members get the lowest price that will ever exist — locked for the lifetime of their account.
Every "unlimited" tier in this industry quietly meters you with rate limits, throttles, or tiny-context traps. Ours is built the other way around: we never count your tokens — we count our seats.
GLM-5.3-Flash is a sparse MoE: its per-token compute cost is a fraction of a dense model's, so a serving node's real constraint is concurrent streams, not volume. We reserve capacity per member and cap membership per node. Heavy usage doesn't cost us more in any month that matters — running out of seats does. So we sell seats, not tokens.
The gym model, applied to GPUs: you can train every day. A gym quietly prays you don't — but here the math actually works, because expert-routed models make "always on" genuinely cheap to serve.
| Token throughput | ~100 tok/s per stream |
| Daily request ceiling | none |
| Monthly token cap | none |
| Per-request context limit | full 262,144 |
| Message length ceiling | none |
| Concurrent streams | 2 included · more on request |
| Precision served | Unquantized — full precision |
The only shape we manage is capacity — seats per node, streams per member. Everything you generate is yours, uncapped.
Quantized models are photographs of a painting — convenient, smaller, and subtly wrong. Unquant serves GLM-5.3-Flash Uncensored the way it was trained: every weight at full precision, none of the compression loss.
Precision compounds with scale: over a 262K-token session, tiny rounding errors from quantization snowball across hundreds of thousands of attention passes. Full precision keeps long conversations coherent, long codebase edits consistent, and long-form generation stable — exactly where cheaper quantized APIs fall apart.
And since the weights are openly licensed, nothing can be silently patched or deprecated behind your back. What you rely on this year is the same model next year.
| Precision | Unquantized — full precision |
| Architecture | 328B MoE · 8 active experts |
| Context window | 262,144 tokens, native |
| Decode speed | ~100 tok/s per stream |
| Attention | linear + sparse (MLA) |
| Modalities | text · vision · tool calling |
| Reasoning | hybrid thinking, native |
| Refusal behavior | removed (tensor-level) |
The beta tier runs on unquantized GLM-5.3-Flash Uncensored. That's the beginning of the Unquant roadmap, not the end of it.
Full precision · flat-rate unlimited · 262K · ~100 tok/s · vision · tools. The founding product — the first truly unlimited, unquantized uncensored tier on the market.
Additional openly-licensed frontier models served the Unquant way: full-precision, tensor-level uncensored, single-tenant Blackwell hardware for ceiling fidelity at maximum context.
Every frontier model worth abliteration gets the same treatment: unquantized, uncensored, honestly served — flat or metered, your choice, one API.
Applications are processed in order. Founding seats are allocated to the first qualifying applicants — tell us what you're building.
Your position is locked. We'll email your keys and onboarding guide as your slot activates.
Founding seats remaining: 10 · applications are processed in order · live seat tracking active
Prefer email? luke.moran103@gmail.com
No token meters, no message caps, no context reductions. The constraint we manage is capacity: each serving node hosts at most 30 members, and you get 2 concurrent streams per account. If a node is momentarily saturated, requests queue briefly rather than fail. That's the whole catch.
Unquantized GLM-5.3-Flash uncensored — a 328B-parameter sparse Mixture-of-Experts frontier model with 262K native context, vision, reasoning, and tool calling, served at full training precision (no quantization), and uncensored at the tensor level so refusals are physically removed rather than suppressed.
Every weight is served exactly as the model was trained — nothing compressed to save memory. You get the model's true ceiling: sharper long-context coherence across the full 262K window, more consistent long-form generation, and none of the subtle drift quantized endpoints accumulate over long sessions.
Streamed decode runs at roughly 100 tokens per second per stream — fast enough to read along in real time, at full precision. Prompt prefill is heavily optimized with prefix caching, so repeat sessions start responding near-instantly.
We store your email, plan selection, and application notes on signup. We do not retain your prompts or completions beyond short-lived operational logs needed for abuse prevention and capacity planning, and we never sell data. Deletion requests are honored.
Beta onboarding is processed in application order as capacity comes online. Founding members are onboarded first, in groups, beginning with the first wave within days of acceptance.
Anything that speaks the OpenAI API: point your base URL at https://api.uncensoredapi.io/v1 with your key, and it works — SillyTavern, Hermes, OpenWebUI, LangChain, raw curl, anything.
Founding members keep the $99 rate for as long as their subscription stays active, even after the standard price moves to $149 and beyond. Cancel and rejoin later, and you rejoin at the then-current price.
Yes — the full native context is served on every tier, unlimited tier included. No hidden per-request cap below 262,144 tokens.
Monthly plans are cancellable anytime and unused prepaid PAYG credits remain spendable. If the service doesn't work for you in your first week, we'll refund it.