165 models
Tools JSON Open weights

Open multimodal Llama model for image understanding, captioning, and visual QA

meta/llama-3.2-11b-vision-instruct 2024-09-25 128K context $0.055/M input $0.055/M output
3 providers
Tools JSON Open weights

command-r-08-2024 is an update of the [Command R](/models/cohere/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...

cohere/command-r-08-2024 2024-08-30 128K context $0.15/M input $0.6/M output
7 providers
Open weights

command-r-plus-08-2024 is an update of the [Command R+](/models/cohere/command-r-plus) with roughly 50% higher throughput and 25% lower latencies as compared to the previous Command R+ version, while keeping the hardware footprint...

cohere/command-r-plus-08-2024 2024-08-30 128K context $2.5/M input $10/M output
9 providers
Tools

The 2024-08-06 version of GPT-4o offers improved performance in structured outputs, with the ability to supply a JSON schema in the respone_format. Read more [here](https://openai.com/index/introducing-structured-outputs-in-the-api/). GPT-4o ("o" for "omni") is...

openai/gpt-4o-2024-08-06 2024-08-06 128K context $2.5/M input $10/M output
7 providers
Open weights

Llama 3.1-based safety classifier for moderating prompts and model responses

meta/llama-guard-3-8b 2024-07-23 128K context Input not listed Output not listed
1 provider

GPT-4o mini is OpenAI's newest model after [GPT-4 Omni](/models/openai/gpt-4o), supporting both text and image inputs with text outputs. As their most advanced small model, it is many multiples more affordable...

openai/gpt-4o-mini 2024-07-18 128K context $0.15/M input $0.6/M output
23 providers
Tools Open weights

Mistral code model for completions, refactors, and developer IDE workflows

mistral/codestral-latest 2024-05-29 256K context $0.3/M input $0.9/M output
5 providers
Tools

GPT-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...

openai/gpt-4o 2024-05-13 128K context $2.5/M input $10/M output
23 providers
Tools

Qwen vision-language model for visual reasoning, documents, and agent tasks

alibaba/qwen-vl-max 2024-04-08 131.072K context $0.8/M input $3.2/M output
5 providers
Tools

Flagship Qwen model for complex reasoning, coding, and agentic workflows

alibaba/qwen-max 2024-04-03 32.768K context $1.6/M input $6.4/M output
6 providers
Tools

Qwen vision-language model for visual reasoning, documents, and agent tasks

alibaba/qwen-vl-plus 2024-01-25 131.072K context $0.21/M input $0.63/M output
4 providers
JSON

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) Sonar Reasoning Pro is a premier reasoning model powered by DeepSeek R1 with Chain of Thought (CoT). Designed for...

perplexity/sonar-reasoning-pro 2024-01-01 128K context $2/M input $8/M output
9 providers
JSON

Note: Sonar Pro pricing includes Perplexity search pricing. See [details here](https://docs.perplexity.ai/guides/pricing#detailed-pricing-breakdown-for-sonar-reasoning-pro-and-sonar-pro) For enterprises seeking more advanced capabilities, the Sonar Pro API can handle in-depth, multi-step queries with added extensibility, like...

perplexity/sonar-pro 2024-01-01 200K context $3/M input $15/M output
9 providers
JSON

Sonar is lightweight, affordable, fast, and simple to use — now featuring citations and the ability to customize sources. It is designed for companies seeking to integrate lightweight question-and-answer features...

perplexity/sonar 2024-01-01 127.072K context $1/M input $1/M output
9 providers

The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.

openai/gpt-4-turbo 2023-11-06 128K context $10/M input $30/M output
15 providers