MiniMax vs Stability AI

Introducing MiniMax Code Mini App

MiniMax has launched Mini App inside its MiniMax Code desktop app for macOS and Windows. Mini Apps are long-running applications featuring a frontend and a Node.js backend that install as plugins, enabling persistent interaction with AI agents. The release includes the Mini App runtime, a /miniapp-creator chat tool, and an open-source community repository.

• Launched on October 22, 2026, for local sessions of the MiniMax Code desktop app across macOS and Windows.
• Mini Apps combine a frontend, a Node.js backend, and a miniapp.json manifest compatible with the MiniMax Plugin protocol.
• Includes /miniapp-creator, allowing users to generate and test working applications directly from chat prompts using automated queries and screenshot verification.

MiniMax M3.1 Flash: Redefining Agent Performance and Cost

Today, we officially roll out MiniMax M3.1 Flash. As a next-generation Flash model, M3.1 Flash delivers a generational leap in agentic tasks, coding, Computer Use and cybersecurity, while making online inference nearly three times faster and reducing usage costs by 70%.

AI News Roundup: Model Launches, Policy, and Infrastructure

This AI news digest from mid-October 2026 covers major model releases, policy updates, and infrastructure advancements. DeepSeek's V4.1 Flash 1017 is highlighted as an open-weight value leader, featuring a 552B-total/16B-active MoE architecture with a 1M-token context and MIT license. MiniMax launched M3.1 Flash, offering competitive pricing and high-speed performance. Inception introduced Mercury 3, a diffusion LLM achieving over 1,000 tokens per second. Meta unveiled Muse Wonder Full and Muse Glimmer, including a 30B open-weight agentic model. Policy developments include a potential Chinese export rule and a DHS ban on DeepSeek. Infrastructure updates feature vLLM v0.32.0. Anthropic's new Public Benefit Fund commits about 20% of equity to public good, and OpenAI hired Aleksander Madry for safety.

• DeepSeek V4.1 Flash 1017 is a 552B-total/16B-active MoE model with MIT license, scoring 45 on AA Intelligence Index.
• MiniMax M3.1 Flash is priced at $0.15/$0.60 per million input/output tokens, with weights available Oct 23.
• Inception releases Mercury 3, a diffusion LLM with 1,000+ tok/s, available on Baseten.

AI Startup Moshi Builds Recommendation Engine for Traders

In an interview at AI Engineer New York, Anekha Sokhal, CEO of Moshi, discusses her journey from trading energy derivatives at JPMorgan to founding Moshi, an AI-powered recommendation engine for financial traders. Moshi processes vast amounts of structured and unstructured market data—including futures time series, technical indicators, news, social media, and alternative data—to deliver real-time, personalized insights tailored to each trader's portfolio. The platform combines a Bloomberg-like interface, a Claude-like conversational layer, and Netflix-style recommendation algorithms. Sokhal emphasizes fitting AI into existing workflows, building custom models for data privacy, and engaging directly with customers. She received significant inbound interest from traders, AI engineers, and potential partners, leading to extended meetings in New York and Houston. She also highlights the importance of trusted sources, customer feedback, and prioritizing client meetings over hiring.

• Anekha Sokhal is CEO of Moshi, a startup providing real-time insights for financial traders, founded after her career as an energy derivatives trader at JPMorgan.
• Moshi processes over 300 new data points every four seconds, integrating structured and unstructured data including futures, technical indicators, news, and social media.
• Moshi uses a recommendation system to connect traders to relevant information, like Netflix for market data, and combines it with a Bloomberg-like interface and conversational AI.

Sean Parker Rebuilds Stability AI Around Music

Sean Parker, co-founder of Napster, is pivoting Stability AI towards the music industry. Two years after joining an $80 million rescue of the company, Parker and CEO Prem Akkaraju are focusing on developing AI tools for music professionals. In late August, Stability AI raised $76 million from investors including Sony, Warner, and Universal, who also licensed their catalogs for training. The company has since released three new audio models and AI music-editing software that can generate instrumental tracks or snippets from text prompts. An upcoming update will allow users to hum melodies or beatbox drum patterns to guide the AI.

• Stability AI raised $76 million in funding from investors including Sony, Warner, and Universal.
• Sony, Warner, and Universal licensed their music catalogs for training as part of the deal.
• Stability AI released three new audio models and AI music-editing software.