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
Create slides from text instantly
Scalable cloud compute
Long-form writing editor for storytellers
Turn text into memes with AI
Convert video to 3D animation instantly
Extract text from images with OCR
Write SEO-optimized blog content with ease
Summarize articles, PDFs, and videos instantly
Generate Anki flashcards from study materials
Generate quizzes from text, video, or audio content
Transcribe audio and video files to text
Create and schedule AI photos, videos, and voiceovers
Translate text in images across 130+ languages
Software deals for entrepreneurs
AI content creation and SEO assistant
Text-to-podcast tool with 120+ AI voices and natural conversations in multiple languages
Rewrite AI text to bypass detection
Turn documents into auto-graded quizzes
Humanize AI text to bypass detection
AI video generation
Directory of AI video creation tools with workflows
Canned responses and text shortcuts for support teams
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.