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

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

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.

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.

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.

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

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.

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.

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.

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

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.

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.

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.

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 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.

This bot will write a bedtime story for a child.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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