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Anthropic's premium model for code, agents, and computer use: hybrid reasoning (instant or deep responses), advanced memory management, and execution of long workflows with fewer tokens
Explore the open-source AI reasoning models created by OpenAI. With a complete thought chain that can be customized for specific applications under the Apache 2.0 license. Two versions available: gpt-oss-120b…
An AI model specialized in mathematics, with advanced reasoning capabilities and the ability to solve complex problems. Soon to be bilingual (English-Chinese)
Llama 3 is a high-performance open-source LLM model designed by Meta AI, with 400 billion parameters on the counter
Deepseek's open source LLM with 671 billion parameters specializing in mathematics and reasoning. This model is effective at processing long contexts and performs well in code, logic, and formal proofs
The new agentic and open-source model from Moonshot AI (supported by Alibaba). It is capable of step-by-step reasoning, dynamically using tools, and conducting research, coding, or writing workflows involving hundreds…
An open-source language model inspired by OpenAI o1, based on Meta's Llama-3.1. Uses reasoning chains to solve complex problems, with an accuracy of around 70%.
An open-source multimodal model that outperforms DALL-E 3 in image generation and analysis. Take advantage of an MIT license to freely use its capabilities in your commercial projects
Access over 200 AI models via a unified API. Easily integrate AI functionalities into your applications with a single API key for 200+ models.
An uncensored (open-source) AI model that rivals ChatGPT on mathematical benchmarks. Switch between quick answers and step-by-step hybrid reasoning, with complete transparency of the thought process
A set of powerful generative AI models called LFM. Get superior performance to traditional large language models, while using less memory and computing resources
Chat with an open-source artificial intelligence model with 456 billion parameters, capable of sophisticated reasoning, coding and managing long contexts (up to 1 million tokens)