Hy4 preview.
Hy4 preview is Tencent's Apache 2.0 mixture-of-experts model, 770B total and 49B active, with a 1M-token context; an early release aimed at engineering and analysis work.
8× Nvidia A100 SXM4 · $5.73/hr.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Cheapest hosted endpoints.
Cheapest hardware per quantisation.
Each row is one quantisation tier (the same weights compressed differently). Lower precision → lower VRAM → cheaper hardware, at the cost of small accuracy loss. $/h es la tarifa más baja disponible ahora. Una configuración multitarjeta usa una instancia real de ese tamaño cuando se alquila; si no, es la tarifa de una tarjeta por el número de tarjetas.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP16
FP16 — half precision (default)
|
2048 GB |
$24.57/hr
Cyfuture AI · bajo demanda
|
— | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
1024 GB |
$12.41/hr
Cyfuture AI · bajo demanda
|
— | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
640 GB |
$5.73/hr
est. 8 × tarifa de una tarjeta
Nosana · bajo demanda
|
— | Compare → |
What it costs per month across providers.
Estimate your monthly bill for Hy4 preview across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
El proveedor más barato, a la izquierda.
Coste mensual total — tokens de entrada y salida juntos.
Desglose de la factura.
| Proveedor | Total mensual | |
|---|---|---|
| $13.34 | Registrarse ↗ | |
| $13.34 | Registrarse ↗ |
Alquila la GPU en lugar de pagar por token.
Para un modelo de pesos abiertos como Hy4 preview, puedes alquilar una GPU y servir la inferencia tú mismo. La cuenta: alquiler de GPU más barato × 730 horas/mes. La electricidad ya está incluida en el precio por hora del alquiler.
Supone que la GPU funciona 24/7 con ~85 % de uso. Si tu tráfico es irregular, pagarás menos por la API y probablemente más por la GPU (las horas ociosas también se cobran). El análisis del punto de equilibrio está en la herramienta de punto de equilibrio autoalojar vs. API.
About Hy4 preview.
Hy4 preview is an open-weights mixture-of-experts model from Tencent's Hy team, with 770B total parameters and 49B active per token, under Apache 2.0. Its context length is 1M tokens, and an extra layer supports speculative decoding. Tencent built its training data around software engineering, office and analysis work, game development and scientific research. It calls this an early version, with known issues such as reasoning longer than needed and over-verifying its own work.