Requesty

baidu/ernie-4.5-300b-a47b-paddle

The ERNIE 4.5 series of open-source models adopts a Mixture-of-Experts (MoE) architecture, representing an innovative multimodal heterogeneous model structure. It achieves cross-modal knowledge fusion through a parameter-sharing mechanism while retaining dedicated parameter spaces for individual modalities. This architecture is particularly well-suited for the continuous pre-training paradigm from large language models to multimodal models, significantly enhancing multimodal understanding capabi

Specifications

Context window123K tokens
Max outputβ€”
API typechat
AddedMay 27, 2026
Model IDnovita/baidu/ernie-4.5-300b-a47b-paddle
Data retentionYes
Used for trainingUnknown
Provider locationπŸ‡ΊπŸ‡Έ US

Benchmarks

Benchmarks haven't been published yet for this exact variant.

Some variants (region-specific deployments, highspeed tiers) share benchmarks with their base model β€” check the base model page or the Novita AI models overview.

Pricing

Input / 1M
$0.28
Output / 1M
$1.10
Cache write
β€”
Cache read
β€”
Estimated cost
100K input + 10K output$0.0390
1M input + 100K output$0.39
10M input + 1M output$3.90

Requesty charges exactly what the upstream provider charges β€” no markup, no per-request fees. Prompt caching and smart routing can reduce effective cost by 30-80%.

Quickstart

Drop-in compatible with the OpenAI SDK. Change the base URL, swap in your Requesty API key, and set the model to novita/baidu/ernie-4.5-300b-a47b-paddle.

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from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="novita/baidu/ernie-4.5-300b-a47b-paddle", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)

Other Novita AI models

Frequently asked questions

How much does baidu/ernie-4.5-300b-a47b-paddle cost?
baidu/ernie-4.5-300b-a47b-paddle is priced at $0.28 per million input tokens and $1.10 per million output tokens when accessed via Requesty. Requesty charges exactly what the upstream provider charges β€” we don't add markup.
What is the context window of baidu/ernie-4.5-300b-a47b-paddle?
baidu/ernie-4.5-300b-a47b-paddle has a context window of 123K tokens. That's roughly 164 words of input you can fit in a single prompt.
What can baidu/ernie-4.5-300b-a47b-paddle do?
baidu/ernie-4.5-300b-a47b-paddle is a text-generation model you can call through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use baidu/ernie-4.5-300b-a47b-paddle with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "novita/baidu/ernie-4.5-300b-a47b-paddle". The Quickstart above shows Python, JavaScript and cURL snippets.

Access baidu/ernie-4.5-300b-a47b-paddle through Requesty

One API key, 400+ models, OpenAI-compatible. No markup on provider prices, automatic failover, and smart caching built-in.