OpenAI
GPT-4o, OpenAI's latest model, is designed for multimodality, natively handling text, images, and audio within a single neural network. It is faster and more efficient than GPT-4 Turbo, with improved contextual understanding, making it ideal for tasks involving multiple data types.
OpenAI
GPT-4o mini is OpenAI's most advanced model in the small models category, and the cheapest OpenAI model yet. It has higher intelligence than gpt-3.5-turbo but is just as fast. It is meant to be used for smaller tasks, including vision tasks.
Anthropic
Claude 3 Haiku is a fast and compact large language model developed by Anthropic. It is designed to provide near-instant responses to simple queries, making it highly efficient for real-time applications.
Anthropic
Cloud 3.5 SONNET is a powerful language model characterized by its high contextual understanding and versatile application possibilities. Ideal for creative content and demanding text tasks.
Mistral AI
Dolphin 2.6 Mixtral 8x7B is a fine-tuned version of the Mixtral-8x7B model developed by Cognitive Computations. It is designed to excel in coding tasks and other specialized applications.
Gemini 1.5 Flash-8B, developed by Google, is optimized for speed and efficiency. It excels in handling tasks with short inputs such as chat, transcription, and translation. With reduced latency, it is particularly effective for real-time applications and large-scale operations.
Gemma 2 27B is a state-of-the-art open language model developed by Google, featuring 27 billion parameters. It excels in various text generation tasks, including question answering, summarization, and reasoning, offering performance that rivals larger models while maintaining efficiency and accessibility.
Meta
Llama 3.1 405B Instruct, the latest model in the Llama series, sets new standards in open AI development with 405 billion parameters. It enhances the capabilities of Llama 2 and offers outstanding performance in natural language processing, logical reasoning, and coding.
Meta
Llama 3.1 Nemotron is a 70-billion-parameter language model developed by NVIDIA, designed to improve the efficiency and accuracy of AI-generated responses. It outperforms other models like GPT-4o and Claude 3.5 Sonnet in various benchmarks, offering fast inference speeds with high precision.
Meta
Llama 3.2 3B is a lightweight, multilingual language model developed by Meta, featuring 3 billion parameters. It is optimized for deployment on mobile and edge devices, enabling efficient on-device AI applications such as summarization, information retrieval, and local AI agents.
Meta
Llama 3.3 70B is Meta's latest open-source language model, featuring 70 billion parameters. It delivers performance comparable to larger models like Llama 3.1 405B, while being more efficient and accessible.
Mistral AI
Mixtral 8x7B, developed by Mistral AI, is a Sparse Mixture of Experts (SMoE) language model with 47 billion parameters and 8 experts per layer, using only 13 billion parameters per token during inference. It offers superior performance and efficiency, outperforming larger models like Llama 2 70B and GPT-3.5.
Microsoft
Phi-3 Mini 128K Instruct is a lightweight, state-of-the-art open model developed by Microsoft. It is designed for high performance in a compact form, making it suitable for a variety of applications.
Alibaba
Qwen2.5 72B is a state-of-the-art language model developed by Alibaba Cloud, featuring 72.7 billion parameters. It excels in complex tasks such as mathematics, coding, and multilingual understanding, offering performance comparable to larger models while maintaining efficiency.
Microsoft
WizardLM-2 8x22B is a state-of-the-art open-source large language model developed by Microsoft AI. It is designed to excel in complex tasks such as chat, reasoning, and multilingual understanding.