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General-purpose assistant bot.

General-purpose assistant bot capable of conducting web search as necessary to inform its responses. Particularly good for queries regarding up-to-date information or specific facts. Powered by gpt-3.5-turbo. (Currently in beta release)

Llama 3.1 405B Instruct from Meta. Supports 4k tokens of context. Hosted by Together.ai: https://api.together.xyz/playground/chat/meta-llama/Meta-Llama-3.1-405B-Instruct-Turbo The points price is subject to change.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes. The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

Anthropic's Claude 3.5 Sonnet excels in complex tasks like autonomous coding and visual processing. In addition, it shines when working with long documents, ensuring accuracy in tasks like retrieval-augmented generation (RAG), search and retrieval, and comparing multiple lengthy documents. For longer context messages, please try Claude-3.5-Sonnet-200k. The compute points value is subject to change.

OpenAI's latest model. This intelligent small model is significantly smarter, cheaper, and just as fast as GPT-3.5 Turbo. Context window has been shortened to optimize for speed and cost. For longer context messages, please try GPT-4o-Mini-128k.

OpenAI's most powerful model. Stronger than GPT-3.5 in quantitative questions (math and physics), creative writing, and many other challenging tasks. Powered by GPT-4o. Context window has been shortened to optimize for speed and cost. For longer context messages, please try GPT-4o-128k.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes. The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

This smaller Gemini model is optimized for narrower or high-frequency tasks where the speed of the model’s response time matters the most. The model accepts text, image, and video input from the entire conversation and provides text output, with a restriction of one video per message. Context window has been shortened to optimize for speed and cost. For Longer context messages, please try Gemini-1.5-Flash-128k and Gemini-1.5-Flash-1M. The compute points value is subject to change.

The multi-modal model from Google's Gemini family that balances model performance and speed. The model accepts text, image, and video input from the entire conversation and provides text output, with a restriction of one video per message. Context window has been shortened to optimize for speed and cost. For Longer context messages, please try Gemini-1.5-Pro-128k and Gemini-1.5-Pro-1M. The compute points value is subject to change.