Baidu Unveils ERNIE 5.5 Flash Preview with 280B Parameters and 1M Context
Baidu released ERNIE 5.5 Flash Preview, built on a new architecture optimized for efficient inference, with 280B total parameters and 14B active per token, a 1M-token context window, and generation speed above 200 tokens/sec. The model is now live on Arena for testing, with Baidu claiming competitive results on Terminal-Bench and AutomationBench; open weights are slated for release by November 25.
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Arena.ai (@arena) · 2026-11-11 15
ERNIE 5.5 Flash Preview by @Baidu_Inc is now in the Arena.
Head over to test it in Battle Mode with your toughest coding, web development, and real-world tasks to see how it does.
Scores for Code Arena coming soon.
↳ 引用 @Baidu_Inc (Baidu Inc.): ERNIE 5.5 Flash Preview just landed! 🔥
Built on a new architecture designed for efficient inference, the latest open-weight foundation model in the ERNIE family delivers stronger performance in coding, 3D modeling, knowledge work and content creation.
It keeps decoding fast while posting competitive scores on Terminal-Bench, AutomationBench, and other benchmarks.
Here's the rundown:
- 280B total parameters, 14B active per token
- 1M-token context window
- Generation speed above 200 tokens/sec
Model weights will be released by November 25.
