Cosmos 3 vs Step 3.7 Flash

NVIDIA Cosmos 3 is the first open-source omni-model for physical AI, integrating world generation, physical reasoning, and action generation into one unified system. Built on MoT architecture, it supports robotics, autonomous driving, and synthetic data pipelines via Hugging Face and Diffusers.

NVIDIA releases Cosmos 3, the first Omni model integrating vision, language, sound, and action, built on Mixture-of-Transformer architecture, achieving top scores across multiple physical AI benchmarks with open weights for customization and edge deployment.

NVIDIA launches Cosmos 3, the first unified multimodal model integrating language, video, sound, and action inputs/outputs, built on Mixture of Transformer architecture, open-sourced with weights available on Hugging Face, achieving top scores across physical AI benchmarks including Robo Lab, PiBench, and Vintage.

NVIDIA releases Cosmos 3 (omnimodal world models), Nemotron 3 Ultra (550B LLM), and RTX Spark, driving open physical AI, with Cosmos 3 achieving SOTA in Text2Image and Image2Video.

NVIDIA unveiled major advancements at COMPUTEX, including RTX Spark for local AI agents on Windows, Vera CPU designed for AI agents with 1.8x performance boost, Cosmos 3 open model for robotics and autonomous driving, and Nemotron 3 Ultra, a 550B-parameter open-weight model competing with top models like Kimi K2.6 and Qwen 3.5.

NVIDIA announces Cosmos 3, positioning it as the leading breakthrough in physical AI worldwide.

NVIDIA Cosmos 3 can be customized for robot action prediction through post-training, supporting forward dynamics, inverse dynamics, and policy modes using Leo Robot V3 data format and joint configuration for efficient training.

NVIDIA launches Cosmos 3, the first omni-model for physical AI, supporting multimodal inputs and complex physical scene understanding, applicable to robotics, autonomous driving, and industrial simulation.

StepFun released Step 3.7 Flash — a high-efficiency agentic coding model supporting multimodal understanding, tool use, and long-running workflows; its standout feature is full free access in Hermes Agent, removing typical API/credit barriers for real-world testing.

Step 3.7 Flash by Yujue Star is a new-generation Flash model for production-grade AI Agents, featuring native multimodal understanding, high throughput with low latency, and enhanced web search. It achieves 97% of Claude Opus 4.6's coding performance at only 1/9 the cost per task, ideal for high-frequency, complex real-world workflows.

Step 3.7 Flash is a 196B MoE model designed from the ground up for inference efficiency, using MFA and AFD techniques to reduce KV-cache usage to ~22% of DeepSeek, supporting agent, coding, and multimodal workflows, open-sourced under Apache 2.0 and available on Fireworks.

NVIDIA introduces Step 3.7 Flash for large-scale MoE models.

Claude Fable 5 相比 Step 3.7 Flash API 价格高出约 50 倍，Fast Mode 下价格差距扩大至 300 倍。

文章仅提供了一个链接，介绍如何在 NVIDIA GPU 上运行 Step 3.7 Flash，缺乏深度和技术细节。

Step 3.7 Flash significantly reduces KV-cache cost via MFA + AFD technology, enabling efficient inference with one-click deployment.

Step 3.7 Flash model achieves 400 tokens/sec processing speed, reducing Agent task cost to a fraction of Claude's.