Baidu: ERNIE 4.5 300B A47B .
ERNIE-4.5-300B-A47B is a 300B parameter Mixture-of-Experts (MoE) language model developed by Baidu as part of the ERNIE 4.5 series. It activates 47B parameters per token and supports text generation in...
2× AMD MI300X · $1.00/hr.
Most-aggressive quantisation we have a working recommendation for. Lower precision = less VRAM = cheaper hardware, at a small accuracy cost.
Variants in the ERNIE family.
Baidu: ERNIE 4.5 21B A3B
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Baidu: ERNIE 4.5 21B A3B Thinking
ERNIE-4.5-21B-A3B-Thinking is Baidu's upgraded lightweight MoE model, refined...
Baidu: ERNIE 4.5 VL 28B A3B
A powerful multimodal Mixture-of-Experts chat model featuring 28B total param...
Baidu: ERNIE 4.5 VL 424B A47B
ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Ba...
Frequently asked.
How do I run Baidu: ERNIE 4.5 300B A47B ?
Where can I access Baidu: ERNIE 4.5 300B A47B ?
How much does it cost to run Baidu: ERNIE 4.5 300B A47B ?
Is Baidu: ERNIE 4.5 300B A47B open-source or proprietary?
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)
|
1536 GB | $4.00/hr | — | Compare → | |
|
FP8
FP8 — 8-bit float (Hopper / Blackwell)
|
768 GB | $2.00/hr | — | Compare → | |
|
INT4
INT4 — 4-bit integer (~4× VRAM saving)
|
384 GB | $1.00/hr | — | Compare → |
What it costs per month across providers.
Estimate your monthly bill for Baidu: ERNIE 4.5 300B A47B across every host that publishes per-token pricing. Slide your token volumes; the chart + table re-rank cheapest-first.
No priced API access rows on file for Baidu: ERNIE 4.5 300B A47B yet.
Rent the GPU instead of paying per token.
For an open-weights model like Baidu: ERNIE 4.5 300B A47B , 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.