The ERNIE blog announces model releases and shares information about training and evaluation results.

ernie.baidu.com
ERNIE homepage screenshot

About ERNIE

ERNIE is a Baidu AI model program. This page is its blog, which announces model releases and reports training and evaluation results. The posts cover ERNIE 5.0 and 5.1, ERNIE-Image, and PaddleOCR-VL-1.5. The blog reports leaderboard placements from LMArena and benchmark results for these models. The page does not describe how to access or use the models, and pricing is unknown.

Key features

  • ERNIE-Image, a text-to-image model built on an 8B-parameter Diffusion Transformer
  • ERNIE 5.0, a 2.4 trillion-parameter model that handles text, image, video, and audio
  • ERNIE 5.1 release with reported Agent, reasoning, and creative capability upgrades
  • PaddleOCR-VL-1.5, a document model reporting 94.5% accuracy on OmniDocBench v1.5
  • Posts reporting LMArena leaderboard rankings for ERNIE models
Best for: Researchers and developers who want to follow ERNIE model releases and the reported training and evaluation results.
Good for
  • Release posts give specific reported benchmark figures and leaderboard positions
  • ERNIE-Image is described as achieving leading performance among open-weights models
  • ERNIE 5.0 is described as integrating several media types in one autoregressive framework
Watch out for
  • Performance figures are the blog's own reports of rankings and benchmarks, and the page does not describe the testing methods
  • The page does not explain how to access or use the models

ERNIE at a glance

Type
Website
Pricing
Not confirmed. Check the site
Platforms
Web
Open source
Not stated
Language
English
Last checked
Oct 6, 2026 · Online when checked
Listed
Oct 5, 2026

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ERNIE FAQ

What does the ERNIE blog cover?
It announces ERNIE model releases and shares information about training and evaluation results.
Is ERNIE-Image an open-weights model?
The blog describes ERNIE-Image as achieving leading performance among open-weights models. It does not state its license or where the weights are hosted.
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