Baidu Releases ERNIE 5.5 Flash Preview: 280B Total / 14B Active, 1M Context, API Live on Qianfan, Open Weights by November 25
On November 11 Baidu released ERNIE 5.5 Flash Preview on its ERNIE site and @Baidu_Inc. It is the first post-trained model built on ERNIE 5.5 Flash Base, whose weights came out on November 5: 280B total parameters, 14B active per token, a 1M-token context and, per Baidu, generation above 200 tokens per second. Baidu pitches it at coding, 3D modeling, knowledge work and content creation. The API is live on Baidu AI Cloud Qianfan, and the weights are due by November 25, under Apache 2.0 according to the official blog. In Baidu's own benchmark table it ranks first among the models compared on AutomationBench (61.9) and SpreadsheetBench V2 (36.4), but scores 46.5 on Terminal-Bench 4.0, well behind Claude Opus 5.5 at 63.6. Baidu says this is an intermediate post-training checkpoint.

Key Takeaways
- Specs (official): 280B total, 14B active per token, 1M context, 200+ tokens/s, text-only
- Vendor benchmarks: AutomationBench 61.9 (Opus 5.5: 58.0) and SpreadsheetBench V2 36.4 (Opus 5.5: 35.1), first in Baidu's comparison table on both
- Weak spots too: Terminal-Bench 4.0 46.5 (Opus 5.5 63.6, GPT-6.1 Sol 56.1) and DeepSWE v1.1 71.2 (DeepSeek V4.1 Flash 77.0)
- Pricing: on Qianfan, CNY 2 / 1 per million input tokens (peak / off-peak) and CNY 8 / 4 output, with a limited-time 50% discount (per NBD); OpenRouter lists $0.28 / $1.13
- Weights due by November 25, under Apache 2.0 per the official blog, which is looser than the Base model's custom license; check the final release






