DeepSeek
generalOpen-weight LLMs including a 671B MoE model that matches GPT-4o at far lower API cost
General LLM tools include frameworks, APIs, evaluation utilities, and infrastructure specifically built around large language models. This category covers 369 tools that help developers build, test, fine-tune, and run applications on top of LLMs, from embedding calculators to full model-serving platforms.
Open-weight LLMs including a 671B MoE model that matches GPT-4o at far lower API cost
AI music creation and audio production
AI video generator for training and tutorials
Generative AI for creating and remixing music
Text-to-speech with 500+ voices in 100 languages
Rewrite AI-generated text to sound human
Turn text into visual charts and infographics
Rent GPUs for AI, machine learning, and rendering
Turn text prompts into AI-generated videos
Create videos with AI actors
Voice-to-text for Mac, Windows, iOS
Create slides from text instantly
Scalable cloud compute
AI alt text generator for images
Generate music tracks with AI
Voice generation and cloning from text
AI content rewriting and paraphrasing
App translation with full context and human review
Convert AI text to natural, human-like writing
Browse TikTok and Meta ads to find winning creatives
Rewrite AI text to read like human writing
Create animated videos from images, text, or ideas
Fast translations across multiple languages
Portfolio platform with galleries and zero-commission sales
This is a technically focused category aimed primarily at developers and ML engineers. Tools like Cognee and UpTrain address retrieval-augmented generation (RAG) pipelines and model evaluation, while platforms like Dstack and PeriFlow handle compute infrastructure for training and inference. Embedding Similarity Calculator and similar utilities fill narrow but useful gaps in LLM development workflows. OpenAssistant and Cerebras-GPT represent open-source or open-weight models that developers can run or fine-tune directly. When comparing options, consider whether a tool is model-agnostic or tied to a specific provider, and whether it supports the models you are already using. Latency, throughput, and cost-per-token are the metrics that matter most for production workloads. Evaluation tools are often underinvested in early projects but become critical once you are shipping to users. Many tools here are open source with paid managed versions, while others are closed SaaS products with usage-based pricing.