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AI/TLDR

Baidu · 2026-11-11 · major

ERNIE 5.5 Flash Preview — Baidu's 280B MoE for agentic coding

In short

ERNIE 5.5 Flash Preview is Baidu's first post-trained model on ERNIE 5.5 Flash Base: 280B total and 14B active parameters, 1M-token context. It is on Qianfan and free on OpenRouter; Apache-2.0 weights are promised.

Baidu · 2026-11-11 · 3 sources checked

ERNIE 5.5 Flash Preview benchmark bars against Claude Opus 5.5, GPT-6.1 Sol, Hy4, DeepSeek and GLM
Baidu

Baidu's 280B mixture-of-experts model with 14B active parameters, built for long agentic coding and office work.

Key specs

Parameters280B
Active params14B

Quick facts

MakerBaidu
ArchitectureMoE, 280B total / 14B active
Context window1M tokens
AvailabilityBaidu Qianfan API + OpenRouter (free)
WeightsApache-2.0, announced, no date
StatusPreview, an intermediate post-training checkpoint

Benchmarks

AutomationBench
ERNIE 5.5 Flash Preview61.9%
Claude Opus 5.558%
DeepSeek V4.1 Flash 101757.2%
Hunyuan Hy455.2%
GPT-6.1 Sol49.3%
source ↗
Terminal-Bench 4.0
Claude Opus 5.563.6%
GPT-6.1 Sol56.1%
ERNIE 5.5 Flash Preview46.5%
Hunyuan Hy442.4%
DeepSeek V4.1 Flash 101740.9%
source ↗

What is it?

ERNIE 5.5 Flash Preview is the first post-trained model built on ERNIE 5.5 Flash Base, the 280B base checkpoint Baidu released on November 5. Baidu calls the preview an intermediate checkpoint: post-training is still running, and the official release will include improvements.

How does it work?

The model is a sparse mixture-of-experts: only 14B of its 280B parameters run for each token, which keeps decoding fast for a model this size. It has a 1M-token context window. Baidu shows it on long agent tasks, such as an 11-hour coding run that built a third-person game in Unreal Engine 5.8, Blender scenes and FreeCAD models.

Why does it matter?

Baidu's own table puts the preview ahead of Claude Opus 5.5 and GPT-6.1 Sol on AutomationBench and SpreadsheetBench V2, but well behind both on Terminal-Bench 4.0, and many competitor scores are Baidu's own runs. With a free OpenRouter endpoint and Apache-2.0 weights promised, developers get another cheap Chinese option for agent work.

Who is it for?

developers building coding and office agents

Frequently asked questions

Are ERNIE 5.5 Flash Preview weights open source?
Not yet. Baidu says the ERNIE 5.5 Flash Preview weights will be released under Apache 2.0 soon, without a date. The base checkpoint, ERNIE 5.5 Flash Base, is already on Hugging Face in FP8 and BF16 under Baidu's own ERNIE 5.5 Flash Base Model License.
Where can I use ERNIE 5.5 Flash Preview?
Baidu offers ERNIE 5.5 Flash Preview through its Qianfan API platform and as a free model on OpenRouter under the id baidu/ernie-5.5-flash-preview:free. Baidu's announcement does not list API prices, so the free OpenRouter route is the simplest way to test the model.
How does ERNIE 5.5 Flash Preview compare with Claude Opus 5.5 and GPT-6.1 Sol?
In Baidu's table, ERNIE 5.5 Flash Preview scores 61.9 on AutomationBench against 58.0 for Claude Opus 5.5 and 49.3 for GPT-6.1 Sol. On Terminal-Bench 4.0 it scores 46.5, behind GPT-6.1 Sol at 56.1 and Claude Opus 5.5 at 63.6. Baidu ran many competitor scores itself.
What are the limits of the ERNIE 5.5 Flash Preview release?
Baidu describes ERNIE 5.5 Flash Preview as an intermediate checkpoint from post-training. Baidu says some capabilities may still fall short, that training continues, and that the official ERNIE 5.5 Flash release will improve on it. The model is text-only; Baidu used a Claude Opus 5.5 tool for image understanding in BlenderWorld.

Try it

https://openrouter.ai/baidu/ernie-5.5-flash-preview:free

Sources · 3 outlets

Tags

  • baidu
  • ernie
  • ernie-5-5
  • moe
  • agentic-coding
  • long-context
  • chinese-ai
  • open-weights

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