AI Observatory / Model Radar
Baidu / baidu/ernie-4.5-300b-a47b
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...
123,000
Context
12,000
Max output
$0.28 / 1M
Prompt price
2025-06-30
Created
01 / Snapshot
Pricing, context, modalities, and parameters.
Model Radar detail pages stay neutral and operator-readable: core metadata first, then workflow fit.
| Provider | Baidu | Input modalities | text |
|---|---|---|---|
| Output modalities | text | Prompt price | $0.28 / 1M |
| Completion price | $1.10 / 1M | Request price | N/A |
| Context length | 123,000 | Max completion tokens | 12,000 |
| Supported parameters | frequency_penalty, max_tokens, presence_penalty, repetition_penalty, seed, stop, temperature, top_k, top_p | ||
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baidu/ernie-4.5-300b-a47b
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...
High-volume usage
low-cost
03 / Colophon
Routes and exits.
Each model page stays simple: overview, compare, related models, then back to the public hub.