A faster and cheaper yet still very capable model, which can handle a range of tasks including casual dialogue text analysis summarization and document question-answering.
Anthropic's most powerful model, which excels at a wide range of tasks from sophisticated dialogue and creative content generation to detailed instruction following.
An instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models.
Command Light is a smaller version of Command, Cohere's generative LLM (6B parameters).
Capable of very simple tasks, usually the fastest model in the GPT-3 series, and lowest cost [ada]
Capable of straightforward tasks, very fast, and lower cost than GPT-3 instruct [babbage]
Recommended for most prompts: Fast and capable GPT-3.5 model at 1/10th the cost of GPT-3.5 instruct [gpt-3.5-turbo]
As capable as GPT-3.5 chat, a bit more expensive, ideal for long prompts that require a lot of context [gpt-3.5-turbo-16k]
Ideal for prompts with many detailed instructions, but slower and more expensive than the chat models [text-davinci-003]
The best model available capable of complex tasks, but slower and only available once you’re off the waitlist [gpt-4]
The latest GPT-4 model with improved instruction following, JSON mode, reproducible outputs, parallel function calling, and more.
Base model for simple tasks like classification, works best with few-shot examples, 6B parameters [gpt-j]
A fine-tuned version of GPT-NeoX that follows instructions more closely, running on GPU [finetuned-gpt-neox-20b]
Capable of more complex text generation and analysis tasks, running on GPU, 20B parameters [gpt-neox-20b]
AI21’s mid-sized model, carefully designed to strike the right balance between exceptional quality and affordability. Jurassic-2 Mid can be applied to any language comprehension or generation task.
The most powerful model from AI21, offering unmatched quality. Ultra is designed for complex language generation and comprehension tasks including question answering summarization and long-form copy generation.
Llama 2 is a collection of pretrained and fine-tuned large language models (LLM) ranging in scale from 7 billion to 70 billion parameters.
Fine-tuned model in the parameter size of 70B. Suitable for larger-scale tasks such as language modeling, text generation, and dialogue systems.
Generates text in a conversational format. Optimized for dialog language tasks such as implementation of chat bots or AI agents. Can handle zero, one, and few-shot task
Generates text. Optimized for language tasks such as: Code generation, Text generation, Text editing, Problem solving, Recommendations generation and Information extraction.