AI Model Catalogue

This model is optimized for clear, concise text generation and summarization tasks, making it ideal for professionals, content creators, and developers who need reliable outputs for documentation, communication, and knowledge work applications.

This lightweight 9-billion parameter language model is optimized for fast inference and low resource consumption, making it ideal for developers and organizations seeking to deploy efficient AI assistants on edge devices or cost-constrained infrastructure.

This high-performance reasoning model excels at complex problem-solving, mathematical calculations, coding tasks, and logical analysis, making it ideal for developers, researchers, and professionals who need accurate, detailed solutions to challenging computational problems.

This image enhancement model is designed for photographers, content creators, and designers who need to upscale, denoise, and improve the quality of photos through AI-powered restoration techniques.

Mixtral 8×7B Instruct on DeepInfra — popular MoE model with 32K context and strong multilingual performance.

This advanced text-to-image generation model excels at creating photorealistic and highly detailed images from text descriptions, making it ideal for designers, artists, marketers, and content creators who need production-quality visual assets quickly.

Wan-AI/Wan2.7-Image-Edit — served on DeepInfra's GPU cloud for scalable, cost-efficient inference.

Bria/gen_fill — served on DeepInfra's GPU cloud for scalable, cost-efficient inference.

DeepSeek V3 — 671B MoE model with exceptional coding and math performance at very low cost.

This large-scale text embedding model excels at converting documents and queries into dense vector representations for semantic search, retrieval-augmented generation, and similarity matching tasks, making it ideal for developers and researchers building information retrieval systems and AI applications that require precise semantic understanding.

Cohere's multilingual embeddings supporting 100+ languages for global semantic search.

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

Meta Llama 3.1 8B Instruct on DeepInfra — fast, affordable open-source model with 128K context.

Gemma 3 introduces multimodality, supporting vision-language input and text outputs. It handles context windows up to 128k tokens, understands over 140 languages, and offers improved math, reasoning, and chat capabilities,...

Cohere's latest multimodal embedding model supporting text and images for advanced semantic search.

State-of-the-art English text embedding model for semantic search, clustering, and classification.