baidu/ernie-4.5-vl-424b-a47b
123,000 context · $0.42/M input tokens · $1.25/M output tokens
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...
Kullandıkça öde
Ön ödeme yok, yalnızca kullandığınız kadar ödeyin
API'mizle entegre etmek için aşağıdaki kod örneklerini kullanın:
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="baidu/ernie-4.5-vl-424b-a47b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)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 p
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.
| Specification | Value |
|---|---|
| Provider | Baidu |
| Model Type | Large Language Model (LLM) |
| Architecture | N/A |
| Context Window | 123000 tokens |
| Max Output | 16000 tokens |
| Input | Text |
| Output | Text |
| Vision | Supported |
| Function Calling | Supported |
| Token Type | Cost per Million Tokens |
|---|---|
| Input | $0.5 |
| Output | $1.4 |
Base URL: https://llm.wavespeed.ai/v1 API Endpoint: chat/completions Model ID: baidu/ernie-4.5-vl-424b-a47b
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://llm.wavespeed.ai/v1"
)
response = client.chat.completions.create(
model="baidu/ernie-4.5-vl-424b-a47b",
messages=[
{"role": "user", "content": "Hello!"}
]
)
print(response.choices[0].message.content)
curl https://llm.wavespeed.ai/v1/chat/completions \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_API_KEY" \
-d '{
"model": "baidu/ernie-4.5-vl-424b-a47b",
"messages": [{"role": "user", "content": "Hello!"}]
}'
baidu/ernie-4.5-vl-424b-a47b
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...
Giriş
$0.42 /M
Çıkış
$1.25 /M
Bağlam
123K
Maks. Çıkış
16K
Vision
Destekleniyor
Birleşik API'miz aracılığıyla Ernie 4.5 Vl 424b A47b'e erişin — OpenAI uyumlu, soğuk başlatma yok, şeffaf fiyatlandırma.
WaveSpeedAI fiyatlandırması: milyon giriş tokenı başına $0.42 ve milyon çıkış tokenı başına $1.25. Prompt caching ve toplu işleme ayrı faturalanır ve uzun, tekrar eden yüklerde etkin maliyeti düşürür.
Ernie 4.5 Vl 424b A47b istek başına 123K bağlam tokenını ve 16K çıkış tokenını destekler.
Evet. WaveSpeedAI, Ernie 4.5 Vl 424b A47b modelini https://llm.wavespeed.ai/v1 adresindeki OpenAI uyumlu endpoint üzerinden sunar. Resmi OpenAI SDK'sını WaveSpeedAI API anahtarınızla bu base URL'ye yöneltin — başka kod değişikliği gerekmez.
WaveSpeedAI'a giriş yapın, Access Keys'te bir API anahtarı oluşturun, ardından yukarıda gösterilen model id ile https://llm.wavespeed.ai/v1/chat/completions adresine bir istek gönderin. Yeni hesaplar Ernie 4.5 Vl 424b A47b'i değerlendirmek için ücretsiz krediler alır.