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Baidu releases ERNIE-5.5-Flash-Base, a 280B MoE model with 1M context · 8 sources tracked

By PulseAugur Editorial · [8 sources] ·

Baidu has released ERNIE-5.5-Flash-Base, a large open-source Mixture-of-Experts (MoE) model with 280 billion total parameters and 14 billion active parameters per token. Pre-trained on 33.5 trillion tokens, the model supports a 1 million token context window for fine-tuning and inference. Baidu has released the raw pre-training checkpoint without further fine-tuning, allowing developers to adapt it for various applications. The model's architecture emphasizes efficiency, with specialized attention mechanisms and optimized MoE layers designed for reduced latency and memory usage, particularly on modern GPUs. AI

IMPACT Sets a new benchmark for efficient MoE architectures and long-context handling, potentially influencing future model development and deployment strategies.

RANK_REASON Frontier-lab model release with system card.

Read on The Decoder →

AI-generated summary · Google Gemini · from 8 sources. How we write summaries →

Baidu releases ERNIE-5.5-Flash-Base, a 280B MoE model with 1M context · 8 sources tracked

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Frontier Release
Frontier-lab model release with system card.
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8 independent sources
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model release, infra
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COVERAGE [8]

  1. Hugging Face Trending Models TIER_1 (SO) · baidu ·

    baidu/ERNIE-5.5-Flash-Base

    text-generation · 13 downloads · 173 likes

  2. The Decoder TIER_1 English(EN) · Matthias Bastian ·

    Baidu releases ERNIE 5.5 Flash Base with 280 billion parameters as an open-source foundation model

    <p><img alt="" class="attachment-full size-full wp-post-image" height="768" src="https://the-decoder.com/wp-content/uploads/2026/11/ernie_logo.png" style="height: auto; margin-bottom: 10px;" width="1376" /></p> <p> Baidu releases ERNIE 5.5 Flash Base: a 280-billion-parameter MoE …

  3. Pandaily TIER_1 English(EN) · [email protected] (Pandaily) ·

    Baidu Open-Sources ERNIE-5.5-Flash-Base, a 280B MoE Base Model With 14B Active Parameters

    Baidu released ERNIE-5.5-Flash-Base, a raw pretraining checkpoint with 280B total and 14B active parameters, 128K training context and 1M-token support, for further training.

  4. MarkTechPost TIER_1 English(EN) · Michal Sutter ·

    Baidu Releases ERNIE 5.5 Flash Base: A 280B MoE Base Model With 14B Active Parameters

    <p>Baidu has released ERNIE 5.5 Flash Base, a 280B sparse MoE base model with 14B active parameters, trained on 33.5T tokens and published before any mid- or post-training.</p> <p>The post <a href="https://www.marktechpost.com/2026/11/05/baidu-ernie-5-5-flash-base-280b-moe/">Baid…

  5. dev.to — LLM tag TIER_1 English(EN) · ai maya ·

    Baidu's ERNIE-5.5-Flash-Base: can you self-host a 280B open model, and who is allowed to?

    <h2> TL;DR </h2> <p>Baidu published ERNIE-5.5-Flash-Base on Hugging Face on November 5: a 280B-parameter mixture-of-experts base model with 14B active parameters per token, trained on 33.5T tokens. The FP8 repository is 288.4 GB (measured from the file listing), so it fits on eig…

  6. dev.to — LLM tag TIER_1 English(EN) · Paul Lovelace ·

    Baidu's ERNIE 5.5 Flash Base: A 280B Open-Weight Model You Can Fine-Tune — Explained Honestly

    <p>Nothing here is sponsored — no affiliate links on this page. This breaking article is not the daily buyer-intent post. Facts below come from the sources listed at the end, checked 5 November 2026. We have not tested ERNIE 5.5 Flash Base hands-on, and nothing here is a hands-on…

  7. dev.to — LLM tag TIER_1 English(EN) · Mariano Gobea Alcoba ·

    Baidu Releases ERNIE 5.5 Flash Base!

    <h2> Architectural Analysis of ERNIE 5.5 Flash Base: Optimizing Inference Latency through Model Distillation and Kernel Fusing </h2> <p>The release of ERNIE 5.5 Flash Base marks a significant iteration in Baidu’s large language model (LLM) strategy, shifting the paradigm from pur…

  8. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    Baidu has open-sourced ERNIE-5.5-Flash-Base, the raw pretraining checkpoint of ERNIE 5.5 Flash. The sparse mixture-of-experts model has 280 billion total parame

    Baidu has open-sourced ERNIE-5.5-Flash-Base, the raw pretraining checkpoint of ERNIE 5.5 Flash. The sparse mixture-of-experts model has 280 billion total parameters, activates 14 billion per token and was trained on 33.5 trillion tokens, with inference context of up to 1 million …

    LINKS pandaily.com/baidu-ernie-5-5-flash-base-o…

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