Text-embedding-3 series models are the latest and most capable embedding model from OpenAI.

Text-embedding-3 series models are the latest and most capable embedding model from OpenAI.

gpt-4.1 outperforms gpt-4o across the board, with major gains in coding, instruction following, and long-context understanding

Command R+ is a state-of-the-art RAG-optimized model designed to tackle enterprise-grade workloads.

Advanced image reasoning capabilities for visual understanding agentic apps.

Llama 3.3 70B Instruct offers enhanced reasoning, math, and instruction following with performance comparable to Llama 3.1 405B.

Llama 4 Maverick 17B 128E Instruct FP8 is great at precise image understanding and creative writing, offering high quality at a lower price compared to Llama 3.3 70B

Llama 4 Scout 17B 16E Instruct is great at multi-document summarization, parsing extensive user activity for personalized tasks, and reasoning over vast codebases.

The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

The Llama 3.1 instruction tuned text only models are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.

Codestral 25.01 by Mistral AI is designed for code generation, supporting 80+ programming languages, and optimized for tasks like code completion and fill-in-the-middle

Ministral 3B is a state-of-the-art Small Language Model (SLM) optimized for edge computing and on-device applications. As it is designed for low-latency and compute-efficient inference, it it also the perfect model for standard GenAI applications that have

Enhanced Mistral Small 3 with multimodal capabilities and a 128k context length.

Grok 3 is xAI's debut model, pretrained by Colossus at supermassive scale to excel in specialized domains like finance, healthcare, and the law.

MAI-DS-R1 is a DeepSeek-R1 reasoning model that has been post-trained by the Microsoft AI team to fill in information gaps in the previous version of the model and improve its harm protections while maintaining R1 reasoning capabilities.

3.8B parameters Small Language Model outperforming larger models in reasoning, math, coding, and function-calling

Lightweight math reasoning model optimized for multi-step problem solving

First small multimodal model to have 3 modality inputs (text, audio, image), excelling in quality and efficiency

State-of-the-art open-weight reasoning model.

Smaller, faster, and 80% cheaper than o1-preview, performs well at code generation and small context operations.