Tencent: Hy-MT2-7B.
Hy-MT2-7B is a 7B-parameter translation model from Tencent. It supports 33 language pairs and five Chinese dialect and minority-language pairs, with workflows for structured, delimiter-based, contextual, glossary-based,
1× Nvidia GeForce GTX 1660 Super · $0.028/hr.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Cheapest hosted endpoints.
| Provider | Access | $/M in | $/M out | |
|---|---|---|---|---|
| OpenRouter | api aggregator | $0.074 | $0.295 | Launch ↗ |
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. $/hr refreshed hourly from each provider's API.
| Quantisation | Cheapest GPU config | Total VRAM | Live $/hr | tokens/sec | |
|---|---|---|---|---|---|
|
FP16
FP16 — half precision (default)
|
24 GB | $0.15/hr | 40.8 | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
16 GB | $0.019/hr | 27.9 | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
6 GB | $0.028/hr | 58.6 | Compare → |
What it costs per month across providers.
Estimate your monthly bill for Tencent: Hy-MT2-7B across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
Cheapest provider on the left.
Total monthly cost — input + output tokens combined.
Bill breakdown.
| Provider | Monthly total | |
|---|---|---|
| $1.33 | Sign up ↗ |
Rent the GPU instead of paying per token.
For an open-weights model like Tencent: Hy-MT2-7B, you can rent a GPU and serve inference yourself. The math: cheapest GPU rental × 730 hours/month + your electricity rate × power draw.
Assumes the GPU runs 24/7 at ~85% utilisation. If your traffic is bursty, you'll pay less for the API and probably more for the GPU (idle hours still cost rental). The breakeven analysis lives on the Self-host vs API breakeven tool.