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Baidu: ERNIE 4.5 VL 424B A47B

by Baidu

ERNIE-4.5-VL-424B-A47B is a multimodal Mixture-of-Experts (MoE) model from Baidu’s ERNIE 4.5 series, featuring 424B total parameters with 47B active per token. It is trained jointly on text and image data using a heterogeneous MoE architecture and modality-isolated routing to enable high-fidelity cross-modal reasoning, image understanding, and long-context generation (up to 131k tokens). Fine-tuned with techniques like SFT, DPO, UPO, and RLVR, this model supports both “thinking” and non-thinking inference modes. Designed for vision-language tasks in English and Chinese, it is optimized for efficient scaling and can operate under 4-bit/8-bit quantization.

Avg Score

77.7%

13 answers

Avg Latency

47.5s

9 runs

Pricing

$0.42

input

/

$1.25

output

per 1M tokens

Context

123K

tokens

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Other Models from Baidu

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ModelScoreLatencyCost/1M
Baidu: ERNIE 4.5 300B A47B 76.9%33.5s$0.69
Baidu: ERNIE 4.5 21B A3B Thinking54.2%56.0s$0.18
Baidu: ERNIE 4.5 21B A3B54.2%13.2s$0.18
Baidu: ERNIE 4.5 VL 28B A3B44.6%32.0s$0.35

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Quickstart

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import { OpenRouter } from "@openrouter/sdk";

const openrouter = new OpenRouter({
  apiKey: "<OPENROUTER_API_KEY>"
});

const completion = await openrouter.chat.completions.create({
  model: "baidu/ernie-4.5-vl-424b-a47b",
  messages: [
    {
      role: "user",
      content: "Hello!"
    }
  ]
});

console.log(completion.choices[0].message.content);

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