AudioSparx by Stability.ai

« The latest high-performance LLM model from xAI, specialized in reasoning and logic. This AI has achieved record results in academic and mathematical tests. Multi-agent version tackles the toughest challenges »

« An open-source model designed for code and long-running tasks, with a context window of up to 1 million tokens. This Mixed Expert (MoE) LLM handles complex projects, analyzes entire repositories, and performs multi-step reasoning. It is available as open source under the MIT license »

« Take advantage of Anthropic’s AI model—more reliable, more honest, and four times less likely to overlook its own errors. Its fast mode delivers up to 2.5 times more tokens per second (at the same API rate as the previous version) »

« This Mixture-of-Experts model, with approximately 1 trillion parameters, features a 1M-token context, virtually infinite Engram memory, and multimodal capabilities for text, images, and video. It aims to achieve performance scores comparable to Claude Opus while remaining significantly more affordable (to be released under the Apache 2.0 license) »

« OpenAI's most powerful frontier model directly controls your computer, processes 1 million tokens, and reasons about very long tasks. It is claimed to reduce errors by 33% and significantly improve code and document analysis »

« Anthropic's latest high-end model, optimized for agentic code, long-running tasks, and critical business scenarios. It features self-checking of responses and a context window of one million tokens. It is also capable of automatically adjusting the depth of its reasoning based on the difficulty of the problem »

« A Google AI model capable of handling complex tasks involving text, images, audio, or video. It can summarize lengthy sources, analyze data, and assist in coding end-to-end interfaces »

« A fast and cost-effective model designed for code, agents, and complex workflows, with a 1-million-token context and significant improvements on long-running tasks and multi-step execution. Compared to its predecessor, this model scores 9 points higher on FrontierCode 1.1 and 16 points higher on DeepSWE v1.1 »