Baidu Releases ERNIE 5.5 Flash Preview with 280B Open Weights
Baidu unveiled ERNIE 5.5 Flash Preview, built on a new architecture optimized for efficient inference with 280B total parameters, 14B active per token, a 1M-token context window and over 200 tokens/sec generation. It reached 1668 points on the Code Arena WebDev leaderboard, edging past DeepSeek-V4.1-Flash and Kimi K3 and matching Qwen3.8-Max, with weights to be open-sourced under Apache 2.0 by November 25.
Related Entities
Full Report
Arena.ai (@arena) · 2026-11-12 01
Ernie 5.5 Flash Preview by @Baidu_Inc is trending towards becoming the #2 open model on the Code Arena: WebDev, at 1668 pts. The weights will be open-sourced under Apache 2.0 soon.
Its score puts it just above:
- DeepSeek-V4.1-Flash (Max) at 1664
- Kimi K3 (Max) at 1658
and on par with:
- Qwen3.8-Max at 1670 Congrats to the @Baidu_Inc team on this release!
↳ 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.
