In November 2026, both Thinking Machines and Baidu introduced significant Mixture of Experts (MoE) models. Thinking Machines released Inkling 2 Small with 594B total and 17B active parameters, while Baidu launched ERNIE 5.5 Flash Base with 280B total and 14B active parameters. Reported facts show distinct scaling strategies in balancing total parameter capacity against active inference footprints. Analytical review indicates both models prioritize efficient active parameter utilization relative to their massive backbone sizes. Hands-on evaluation was not conducted.
Thinking Machines Inkling 2 Small vs. Baidu ERNIE 5.5 Flash Base
| Total Parameters | 594B |
| Active Parameters | 17B |
| Total Parameters | 280B |
| Active Parameters | 14B |
Research sources
Zyphra ZYFA: FP8 FlashAttention for AMD MI355X, Up to 1.76x Faster ↗Thinking Machines Releases Inkling 2 Small, a 594B MoE With 17B Active ↗Google Releases Gemini Omni 1.2 Flash: 15-Second AI Video at $0.07 per Second ↗Baidu Releases ERNIE 5.5 Flash Base: A 280B MoE Base Model With 14B Active Parameters ↗Together AI Releases Together Compiler: Agents Make Inference Up to 2.6x Faster ↗OpenAI Launches GPT-Image-2.6 Flare and Sunburst: Adds GIFs, SVG Export and 6-Second API Generation ↗Google AI Research Releases Agile Deliberation Framework for Gray-Area Image Classifiers ↗webAI Releases TwIL-8B, an 8.8B Reasoning Model Scoring 98.2 on MATH-500 ↗Ricursive AI Releases Ripple-65B Preview: A 65B Dense Open-Weight Model Scoring 80.5 on Terminal-Bench 2.1 ↗Tencent WeVisOne-VL Unifies Detection, OCR, Segmentation and Matting ↗ToyBlocks: A controlled world for robot learning and evaluation ↗Egyptian and Nigerian English join the Open ASR Leaderboard ↗New NVIDIA Cosmos 3 Open Models for Interactive World Simulation ↗A Closer Look at Phonon TTS. Launching High-Quality On-Device Speech That Tops the Benchmarks. ↗Dharma Field Extractor: Any Document In, Structured Fields in JSON Out ↗Palette: teaching a small model to build decks in your design language ↗CWE-bench v2: More coverage, quality, and transparency ↗Transformers Model Integration Contracts ↗