ERNIE 5.0 Thinking Exp
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ERNIE 5.0 Thinking Exp

ernie-5.0-thinking-expllms.txt
Baidu
ERNIE 5.0 is the next-generation natively multimodal foundation model in the ERNIE family. Built on a unified multimodal architecture, it jointly learns from text, images, audio, and video to deliver broad multimodal capabilities. ERNIE 5.0 features significantly upgraded core capabilities and shows strong performance across benchmarks, with notable gains in multimodal understanding, instruction following, creative writing, factual accuracy, and agent planning with tool use.

Pricing

TierPricingCache Read
Input<=32K
$0.822$3.288
$0.82192/M tokens
32K<Input<=128K
$1.370$5.479
$1.36986/M tokens

Input Modalities

  • Text
  • Vision

Output Modalities

  • Text

Capabilities

  • Thinking

Providers

Alibaba Cloud ernie-5.0-thinking-exp
Pricing$0.822$3.288
Cache Read$0.82192/M tokens
Pricing$1.370$5.479
Cache Read$1.36986/M tokens
Context119K
Max output64K
Latency-
Throughput-
Uptime
0.00% uptime 2 days ago
0.00% uptime yesterday
0.00% uptime today

Performance for ernie-5.0-thinking-exp

Uptime is the percentage of requests that succeeded over the past 72 hours. AIHubMix continuously monitors every provider and automatically retries with the next-best provider when one returns an error or responds too slowly; Latency is total round-trip time (lower is better); Throughput is how fast the model writes (tokens per second, higher is better).

Uptime
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Latency
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Throughput
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Try this model

Python
import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["AIHUBMIX_API_KEY"],
    base_url="https://aihubmix.com/v1",
)

response = client.chat.completions.create(
    model="ernie-5.0-thinking-exp",
    messages=[
      {
        "role": "user",
        "content": "Hello, how are you?"
      }
    ],
    max_tokens=1024,
    stream=False,
)

print(response.choices[0].message.content)

Frequently asked questions

What is ERNIE 5.0 Thinking Exp?

ERNIE 5.0 is the next-generation natively multimodal foundation model in the ERNIE family. Built on a unified multimodal architecture, it jointly learns from text, images, audio, and video to deliver broad multimodal capabilities. ERNIE 5.0 features significantly upgraded core capabilities and shows strong performance across benchmarks, with notable gains in multimodal understanding, instruction following, creative writing, factual accuracy, and agent planning with tool use.