Gemma2 9b is Google's redesigned open model, optimized for outsized performance and unmatched efficiency. Built from the same research and technology used to create the Gemini models, this model provides built-in safety advancements and an expanded parameter size while still being extremely fast.

Popular with developers as a powerful workhorse model, optimal for high-volume, high-frequency tasks at scale and highly capable of multimodal reasoning across vast amounts of information with a context window of 1 million tokens. 2.0 is Google's new flagship series of Gemini.

First-generation reasoning model from DeepSeek. Open-sourced and with fully open reasoning tokens. It's 671B parameters in size, with 37B active in an inference pass.

OpenAI GPT-3.5 Turbo is a fast, inexpensive model for simple tasks developed by OpenAI. Capable of understanding and generating natural language or code, it has been optimized for chat.

GPT-4o Mini is OpenAI's most advanced model in the small models category. It is multimodal (accepting text or image inputs and outputting text), and 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.

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi.

Grok 2 is xAI's frontier language model with state-of-the-art reasoning capabilities, best for complex and multi-step use cases.

This is the next generation of Anthropic's fastest model. For a similar speed to Claude 3 Haiku, Claude 3.5 Haiku improves across every skill set and surpasses even Claude 3 Opus, the largest model in their previous generation, on many intelligence benchmarks. Claude 3.5 Haiku is particularly strong on coding tasks. It also features low latency, improved instruction following, and more accurate tool use.

GPT-4 Omni is OpenAI's most advanced model. It is multimodal (accepting text or image inputs and outputting text), and it has the same high intelligence as GPT-4 Turbo but is much more efficient, generating text 2x faster.

GPT-4 is a large multimodal model (accepting text or image inputs and outputting text) that can solve difficult problems with greater accuracy than any of OpenAI's previous models, thanks to its broader general knowledge and advanced reasoning capabilities.

Euryale 70B v2.1 is a model focused on creative roleplay. It has improved prompt adherence and spatial awareness, and adapts quickly to custom roleplay and formatting.

Liquid Foundation Models (LFMs) are large neural networks built with computational units rooted in dynamic systems. This mixture of experts model is built for general purpose AI, with an excellent handle on sequential data and context.

Hermes 3 is a generalist language model with many improvements over Hermes 2, including advanced agentic capabilities, much better roleplaying, reasoning, multi-turn conversation, long context coherence, and improvements across the board. Hermes 3 405B is a frontier-level, full-parameter finetune of the Llama-3.1 405B foundation model, focused on aligning LLMs to the user, with powerful steering capabilities and control given to the end user.

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. These Llama 4 models mark the beginning of a new era for the Llama ecosystem. Launching alongside the rest of the Llama 4 series, Llama 4 Scout is a 17 billion parameter model with 16 experts. Fast MoE with the equivalent of 109B parameters, and a greatly expanded context window.

Jamba 1.5 Large is part of AI21's new family of open models, offering superior speed, efficiency, and quality. It features a 256K effective context window, the longest among open models, enabling improved performance on tasks like document summarization and analysis. Built on a novel SSM-Transformer architecture, it outperforms larger models on benchmarks while maintaining resource efficiency.

The Meta Llama 3.3 multilingual large language model (LLM) is an instruction tuned generative model in 70B (text in/text out). It is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks. Llama 3.3 is an auto-regressive language model that uses an optimized transformer architecture. The tuned versions use supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF) to align with human preferences for helpfulness and safety.

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o3-mini is a small reasoning model from OpenAI, providing high intelligence at the same cost and latency targets of o1-mini. o3-mini also supports key developer features. Like other models in the o-series, it is designed to excel at science, math, and coding tasks.

Claude 3 Haiku is a fast and compact model built by Anthropic for near-instant responsiveness. It's focus is on quick and accurate targeted performance.

GPT-4 is a large multimodal model (accepting text or image inputs and outputting text) that can solve difficult problems with greater accuracy than any of OpenAI's previous models, and the turbo variant is optimized for quick responses and natural language chat.

The o1 series of large language models are trained with reinforcement learning to perform complex reasoning. o1 models think before they answer, producing a long internal chain of thought before responding to the user. o1 is a faster reasoning model particularly good at coding, math, and science.

Claude 3.5 Sonnet sets new industry benchmarks for graduate-level reasoning (GPQA), undergraduate-level knowledge (MMLU), and coding proficiency (HumanEval). Excelling in grasping nuance, humor, and complex instructions, and writes high-quality content with a natural, relatable tone.

WizardLM-2 8x22B is Microsoft AI's most advanced Wizard model. It demonstrates highly competitive performance compared to leading proprietary models, and it consistently outperforms all existing state-of-the-art opensource models. It is an instruct finetune of Mixtral 8x22B.

Llama 3 is a group of foundation models from Meta. It natively supports multilinguality, coding, reasoning, and tool usage. The 8B variant is a light-weight, ultra-fast model that can run anywhere.

Qwen2 VL 7B is a multimodal LLM from the Qwen Team with multimedia capabilities.

HotBot Assistant is a comprehensive chat companion that can help you with a number of tasks based on how you talk to it.

One of the highest performing and most popular fine-tunes of Llama 2 13B, with rich descriptions and roleplay.

Llama 3.1 is a group of open-source instruction-tuned models from Meta. These multilingual models have a context length of 128K, state-of-the-art tool use, and strong reasoning capabilities. The 8B variant is a light-weight, ultra-fast model that can run anywhere.

Mistral Large 2 is the new generation of Mistral's flagship model. It is significantly capable in code generation, mathematics, and reasoning.

DeepSeek-V3 is the latest model from the DeepSeek team, building upon the instruction following and coding abilities of the previous versions. Pre-trained on nearly 15 trillion tokens, the reported evaluations reveal that the model outperforms other open-source models and rivals leading closed-source models.

A high-performing, industry-standard 7.3B parameter model, with optimizations for speed and context length.

OpenAI GPT-3.5 Turbo is a fast, inexpensive model for simple tasks developed by OpenAI. Capable of understanding and generating natural language or code, it has been optimized for chat, with an expanded context length of 16K.

Search GPT is a new way to search. Our advanced GPT search engine offers AI-powered capabilities for accurate and insightful results. Explore chat GPT features integrated with familiar search functions. Experience a faster, smarter search that prioritizes speed, accuracy, and user satisfaction.

WizardLM-2 7B is the smaller variant of Microsoft AI's latest Wizard model. It is the fastest and achieves comparable performance with existing 10x larger opensource leading models. It is a finetune of Mistral 7B Instruct, using the same technique as WizardLM-2 8x22B.

The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. These Llama 4 models mark the beginning of a new era for the Llama ecosystem. Launching alongside the rest of the Llama 4 series, Llama 4 Maverick is a 17 billion parameter model with 128 experts. Massive MoE with the equivalent of 400B parameters, and a greatly expanded context window.

Jamba 1.5 Mini is the world's first production-grade Mamba-based model, combining SSM and Transformer architectures for a 256K context window and high efficiency. It works with 9 languages and can handle various writing and analysis tasks as well as or better than similar small models.

Llama 3.2 3B is a 3-billion-parameter multilingual large language model, optimized for advanced natural language processing tasks like dialogue generation, reasoning, and summarization. Designed with the latest transformer architecture, it supports eight languages, including English, Spanish, and Hindi, and is adaptable for additional languages.

Grok 2 Mini is xAI's fast, lightweight language model that offers a balance between speed and answer quality.

Claude 3 Sonnet has a balance of intelligence and speed. Anthropic's balanced and scalable model delivers strong utility.

2.0 is the new flagship series of Gemini. Wanting to continue offering a model at the price and speed of 1.5 Flash, Google has created 2.0 Flash-Lite. A quick but powerful model updated to one million tokens for 2.0.

Claude 3 Opus is a powerful model for highly complex tasks. Developed by Anthropic for top-level performance, intelligence, fluency, and understanding.

The o1 series of large language models are trained with reinforcement learning to perform complex reasoning. o1 models think before they answer, producing a long internal chain of thought before responding to the user. o1 is a reasoning model designed to solve hard problems across domains.

OpenChat 7B is a library of open-source language models, fine-tuned with C-RLFT (Conditioned Reinforcement Learning Fine-Tuning) - a strategy inspired by offline reinforcement learning. It has been trained on mixed-quality data without preference labels.

Qwen2 VL 72B is a multimodal LLM from the Qwen Team with impressive multimedia and automations support.

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