全部大模型

Amazon Nova Micro 1.0 is a text-only model that delivers the lowest latency responses in the Amazon Nova family of models at a very low cost. With a context length of 128K tokens and optimized for speed and cost, Amazon Nova Micro excels at tasks such as text summarization, translation, content classification, interactive chat, and brainstorming. It has simple mathematical reasoning and coding abilities.

Amazon Nova Lite 1.0 is a very low-cost multimodal model from Amazon that focused on fast processing of image, video, and text inputs to generate text output. Amazon Nova Lite can handle real-time customer interactions, document analysis, and visual question-answering tasks with high accuracy. With an input context of 300K tokens, it can analyze multiple images or up to 30 minutes of video in a single input.

Command R7B (12-2024) is a small, fast update of the Command R+ model, delivered in December 2024. It excels at RAG, tool use, agents, and similar tasks requiring complex reasoning and multiple steps. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

command-r-plus-08-2024 is an update of the Command R+ with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint the same. Read the launch post here. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

Command R+ is a new, 104B-parameter LLM from Cohere. It’s useful for roleplay, general consumer usecases, and Retrieval Augmented Generation (RAG). It offers multilingual support for ten key languages to facilitate global business operations. See benchmarks and the launch post here. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

Command R+ is a new, 104B-parameter LLM from Cohere. It’s useful for roleplay, general consumer usecases, and Retrieval Augmented Generation (RAG). It offers multilingual support for ten key languages to facilitate global business operations. See benchmarks and the launch post here. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

command-r-08-2024 is an update of the Command R with improved performance for multilingual retrieval-augmented generation (RAG) and tool use. More broadly, it is better at math, code and reasoning and is competitive with the previous version of the larger Command R+ model. Read the launch post here. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

Command-R is a 35B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents. Read the launch post here. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

Command-R is a 35B parameter model that performs conversational language tasks at a higher quality, more reliably, and with a longer context than previous models. It can be used for complex workflows like code generation, retrieval augmented generation (RAG), tool use, and agents. Read the launch post here. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

Command is an instruction-following conversational model that performs language tasks with high quality, more reliably and with a longer context than our base generative models. Use of this model is subject to Cohere’s Usage Policy and SaaS Agreement.

Your prompt will be processed by a meta-model and routed to one of dozens of models (see below), optimizing for the best possible output. To see which model was used, visit Activity, or read the model attribute of the response. Your response will be priced at the same rate as the routed model. The meta-model is powered by Not Diamond. Learn more in our docs. Requests will be routed to the following models: - openai/gpt-4o-2024-08-06 - openai/gpt-4o-2024-05-13 - openai/gpt-4o-mini-2024-07-18 - openai/chatgpt-4o-latest - openai/o1-preview-2024-09-12 - openai/o1-mini-2024-09-12 - anthropic/claude-3.5-sonnet - anthropic/claude-3.5-haiku - anthropic/claude-3-opus - anthropic/claude-2.1 - google/gemini-pro-1.5 - google/gemini-flash-1.5 - mistralai/mistral-large-2407 - mistralai/mistral-nemo - deepseek/deepseek-r1 - meta-llama/llama-3.1-70b-instruct - meta-llama/llama-3.1-405b-instruct - mistralai/mixtral-8x22b-instruct - cohere/command-r-plus - cohere/command-r

Sonar Reasoning is a reasoning model provided by Perplexity based on DeepSeek R1. It allows developers to utilize long chain of thought with built-in web search. Sonar Reasoning is uncensored and hosted in US datacenters.