Meta released Muse Spark, a new hosted AI model with Instant and Thinking modes, accessible via meta.ai with a private API preview. The model includes integrated tools for web search, image generation, code execution, and Meta content search, making it relevant for understanding multi-tool agent systems and comparing reasoning capabilities against current SOTA models like GPT-5.4 and Gemini 3.1.

Google DeepMind released Gemma 4, a family of open-weight models (31B dense, 26B MoE, edge variants) under Apache 2.0 license with native multimodal support (text/image/video/audio), 256K context, and function calling—positioning it as a top-tier open model for reasoning, agents, and edge deployment. The 31B variant achieves competitive performance with significantly fewer parameters than rivals, with strong benchmarks on GPQA and AIME, and rapid ecosystem adoption already underway.

gradio.Server enables building custom frontends (React, Svelte, vanilla JS) while leveraging Gradio's backend infrastructure including queuing, concurrency management, ZeroGPU support, and gradio_client compatibility. The approach extends FastAPI to provide both traditional Gradio UI components and full custom frontend flexibility with the same backend power.

Google released Gemini 3.1 Flash Live, an improved real-time audio model with better precision, lower latency, and enhanced tonal understanding for voice-first applications. Available via Gemini Live API, it achieves 90.8% on ComplexFuncBench Audio and 36.1% on Scale AI's Audio MultiChallenge, enabling developers to build voice agents that handle complex tasks with natural dialogue in noisy environments.

An open-source MCP (Model Context Protocol) server that connects AI agents (Claude, GPT, Copilot) to 41 Brazilian government APIs covering economics, legislation, transparency, judiciary, elections, and more—38 APIs require no authentication. This is a practical tool for engineers building AI applications that need access to structured public sector data with ready-made integrations and natural language query capabilities.

Google released Lyria 3 Pro, an advanced music generation model supporting 3-minute tracks with structural awareness (verses, choruses, bridges). The model is available across multiple platforms including Vertex AI, Gemini API, Google AI Studio, and consumer apps, enabling developers to integrate custom music generation at scale.

apfel is an open-source tool that exposes Apple's on-device foundation model through a CLI, OpenAI-compatible API server, and shell integration—enabling local LLM inference on Apple Silicon Macs with no cloud dependency, API keys, or per-token billing. It supports tool calling via Model Context Protocol (MCP), includes demo shell scripts for practical workflows, and manages a 4096-token context window automatically.

A curated resource listing LLM APIs with permanent free tiers for text inference, including first-party APIs from model trainers and third-party platforms hosting open-weight models. Covers rate limits, available regions, and notable models—useful reference for engineers exploring cost-free inference options during development and experimentation.

Google released Gemini 3.1 Flash-Lite, a new lightweight model optimized for high-volume production workloads at $0.25/1M input tokens and $1.50/1M output tokens. It delivers 2.5X faster time-to-first-token and 45% faster output speeds than 2.5 Flash while maintaining quality, making it ideal for real-time applications like translation, content moderation, UI generation, and agentic workflows at scale.

Google DeepMind released Nano Banana 2 (Gemini 3.1 Flash Image), a new image generation model combining advanced reasoning and world knowledge with Flash-speed inference. The model is now available across Google products (Gemini app, Search) and offers improved subject consistency, photorealism, and instruction-following capabilities with reduced latency compared to the Pro version.

Google released Gemini 3.1 Pro, an upgraded core model with significantly improved reasoning capabilities (77.1% on ARC-AGI-2, more than 2x better than 3 Pro). Available through Gemini API, Vertex AI, and consumer products, it excels at complex problem-solving tasks including code generation, system synthesis, and advanced reasoning workflows that engineers building with AI will find immediately applicable.

Google DeepMind released Lyria 3, an advanced music generation model integrated into the Gemini app, allowing users to create 30-second tracks from text descriptions or images with SynthID watermarking for AI-generated content detection. The model improves on previous versions with better audio quality and customization, and is also rolling out to YouTube creators for Dream Track.