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DeepSeek-R1-0528 improves reasoning and logic via better computation and optimization, nearing the performance of top models like O3 and Gemini 2.5 Pro.

Llama 3.2 (3B) is a multilingual, instruction-tuned LLM by Meta, optimized for dialogue, retrieval, and summarization. It uses an autoregressive transformer with SFT and RLHF for improved alignment and outperforms many industry models.

Claude Sonnet 4 is a state-of-the-art large language model from Anthropic, available on the Clarifai platform. It supports text and inputs and can generate high-quality, context-aware text completions, summaries, and more.

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements.

Devstral is an agentic LLM for software engineering, developed by Mistral AI and All Hands AI. It’s designed to explore codebases, edit multiple files, and support engineering agents.

Identifies a variety of concepts in images and video including objects, themes, and more. Trained with over 10,000 concepts and 20M images.

Grok-3 is a state-of-the-art large language model (LLM) developed by XAI, their most sophisticated model to date, which combines robust reasoning with vast pretraining knowledge.

GPT-4o is a multimodal AI model that excels in processing and generating text, audio, and images, offering rapid response times and improved performance across languages and tasks, while incorporating advanced safety features

GPT-4.1 is OpenAI's advanced LLM, optimized for coding, instruction following, and processing extended contexts up to 1 million tokens. It delivers enhanced performance, making it ideal for complex and long-form content generation tasks

Gemini 2.5 Flash Preview is the next iteration in the Gemini 2.0 series of models, a suite of highly-capable, natively multimodal, reasoning models. Gemini 2.5 Flash Preview is Google’s first fully hybrid reasoning model.

Claude 3.5 Haiku is a fast, cost-effective large language model from Anthropic, available on the Clarifai platform. It supports text and multimodal inputs and can generate high-quality, context-aware text completions, summaries, and more.

Qwen3 is the newest in the Qwen series, featuring dense and MoE models with major improvements in reasoning, instruction-following, agent tasks, and multilingual support.

Gemini 2.0 Flash is a fast, low-latency multimodal model with enhanced performance and new capabilities

Gemma 3 (12B) is a multilingual, multimodal open model by Google, handling text and image inputs with a 128K context window. It excels in tasks like QA and summarization while being efficient for deployment on limited-resource devices.

Phi-4-reasoning-plus is a state-of-the-art open-weight reasoning model finetuned from Phi-4 using supervised fine-tuning on a dataset of chain-of-thought traces and reinforcement learning.

MiniCPM3-4B is the 3rd generation of MiniCPM series. The overall performance of MiniCPM3-4B surpasses Phi-3.5-mini-Instruct and GPT-3.5-Turbo-0125, being comparable with many recent 7B~9B models.

Phi-4-mini-instruct is a lightweight open model from the Phi-4 family, optimized for reasoning with high-quality data. It supports a 128K context window and uses fine-tuning for precise instruction adherence and safety.

Qwen2.5-VL is a vision-language model designed for AI agents, finance, and commerce. It excels in visual recognition, reasoning, long video analysis, object localization, and structured data extraction.

Pixtral 12B is a natively multimodal model excelling in multimodal reasoning, instruction following, and text benchmarks with a 12B parameter architecture supporting variable image sizes and long context inputs

GPT-4o is a multimodal AI model that excels in processing and generating text, audio, and images, offering rapid response times and improved performance across languages and tasks, while incorporating advanced safety features

DeepSeek-R1-Distill-Qwen-7B is a 7B-parameter dense model distilled from DeepSeek-R1 based on Qwen-7B.

Claude 3.5 Sonnet is a high-speed, advanced AI model excelling in reasoning, knowledge, coding, and visual tasks, ideal for complex applications.

Llama-3.2-11B-Vision-Instruct is a multimodal LLM by Meta designed for visual reasoning, image captioning, and VQA tasks, supporting text + image inputs with 11B parameters

DeepSeek-R1-Distill-Qwen-32B is a 32B-parameter dense model distilled from DeepSeek-R1 based on Qwen-32B.

Pixtral 12B is a natively multimodal model excelling in multimodal reasoning, instruction following, and text benchmarks with a 12B parameter architecture supporting variable image sizes and long context inputs

GPT-4o is a multimodal AI model that excels in processing and generating text, audio, and images, offering rapid response times and improved performance across languages and tasks, while incorporating advanced safety features

Gemini 2.0 Flash-Lite is our fastest and most cost efficient Flash model. It's an upgrade path for 1.5 Flash users who want better quality for the same price and speed.

Gemini 2.0 Flash is a fast, low-latency multimodal model with enhanced performance and new capabilities

Llama-3.2-11B-Vision-Instruct is a multimodal LLM by Meta designed for visual reasoning, image captioning, and VQA tasks, supporting text + image inputs with 11B parameters

MiniCPM-o is the latest series of end-side multimodal LLMs (MLLMs) ungraded from MiniCPM-V. The models can now take images, video, text, and audio as inputs and provide high-quality text and speech outputs in an end-to-end fashion

A general image workflow that combines detection, classification, and embedding to identify general concepts including objects, themes, moods, etc.

RAG Agent uses GPT-4 Turbo LLM model with ReAct prompting, optimizing dynamic reasoning and action planning.

Multi-model workflow that combines face detection and sentiment classification of 7 concepts: anger, disgust, fear, neutral, happiness, sadness, contempt, and surprise.

Multi-model workflow that detects, crops, and recognizes demographic characteristics of faces. Visually classifies age, gender, and multi-culture characteristics.