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.

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.

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

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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.

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.

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.

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

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.

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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.

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

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

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.

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.

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.

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

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

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.

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.

This bot will write stories and scenes. Describe the scene or setting you want, including characters, and the bot will write for you.

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.

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.

Quickly capture the key points of any YouTube video with our YouTube Summarizer bot. This tool generates fast, accurate summaries, so you can skip the long watch time and focus on the most important information. Whether you’re studying, researching, or just trying to absorb content faster, it helps you save time and get straight to what matters. Using cutting-edge AI technology, our YouTube Summarizer analyzes video content and extracts the most relevant information, ensuring you don’t miss any crucial details. Whether it’s a tutorial, lecture, or a long-form discussion, the summarizer tailors the output to give you a quick overview or a more in-depth summary, depending on your needs. No more scrubbing through videos—get the insights you need in a fraction of the time.

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.

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.

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.

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.

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

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.

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

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.