Open Mixture of Experts LLM (230B, 10B active) for reasoning, coding, and tool-use/agent workflows
Leading multilingual content safety model for enhancing the safety and moderation capabilities of LLMs
DeepSeek-V3.1: hybrid inference LLM with Think/Non-Think modes, stronger agents, 128K context, strict function calling.
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
Qwen3-Next Instruct blends hybrid attention, sparse MoE, and stability boosts for ultra-long context AI.
Follow-on version of Kimi-K2-Instruct with longer context window and enhanced reasoning capabilities
ByteDance open-source LLM with long-context, reasoning, and agentic intelligence.
Excels in agentic coding and browser use and supports 256K context, delivering top results.
DeepSeek V3.1 Instruct is a hybrid AI model with fast reasoning, 128K context, and strong tool use.
FLUX.1 Kontext is a multimodal model that enables in-context image generation and editing.
Multilingual 7B LLM, instruction-tuned on all 24 EU languages for stable, culturally aligned output.
Multilingual, cross-lingual embedding model for long-document QA retrieval, supporting 26 languages.
High performance reasoning model optimized for efficiency and edge deployment
Multi-modal model to classify safety for input prompts as well output responses.
Advanced reasoing MOE mode excelling at reasoning, multilingual tasks, and instruction following
State-of-the-art, multilingual model tailored to all 24 official European Union languages.
Efficient multimodal model excelling at multilingual tasks, image understanding, and fast-responses
High accuracy and optimized performance for transcription in 25 languages
A general purpose multimodal, multilingual 128 MoE model with 17B parameters.
A multimodal, multilingual 16 MoE model with 17B parameters.
End-to-end autonomous driving stack integrating perception, prediction, and planning with sparse scene representations for efficiency and safety.
Natural and expressive voices in multiple languages. For voice agents and brand ambassadors.
A lightweight, multilingual, advanced SLM text model for edge computing, resource constraint applications
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Robust Speech Recognition via Large-Scale Weak Supervision.
Latency-optimized language model excelling in code, math, general knowledge, and instruction-following.
Topic control model to keep conversations focused on approved topics, avoiding inappropriate content.
Leading content safety model for enhancing the safety and moderation capabilities of LLMs
NVIDIA DGX Cloud trained multilingual LLM designed for mission critical use cases in regulated industries including financial services, government, heavy industry
Multilingual LLM with emphasis on European languages supporting regulated use cases including financial services, government, heavy industry
Powerful mid-size code model with a 32K context length, excelling in coding in multiple languages.
Multilingual and cross-lingual text question-answering retrieval with long context support and optimized data storage efficiency.
Fine-tuned reranking model for multilingual, cross-lingual text question-answering retrieval, with long context support.
Context-aware chart extraction that can detect 18 classes for chart basic elements, excluding plot elements.
Advanced AI model detects faces and identifies deep fake images.
Detects jailbreaking, bias, violence, profanity, sexual content, and unethical behavior
Robust image classification model for detecting and managing AI-generated content.
State-of-the-art small language model delivering superior accuracy for chatbot, virtual assistants, and content generation.
Lightweight multilingual LLM powering AI applications in latency bound, memory/compute constrained environments
Supports Chinese and English languages to handle tasks including chatbot, content generation, coding, and translation.
Multilingual text reranking model.
Multilingual text question-answering retrieval, transforming textual information into dense vector representations.
Advanced LLM to generate high-quality, context-aware responses for chatbots and search engines.
Long context cutting-edge lightweight open language model exceling in high-quality reasoning.
