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
Create slides from text instantly
Long-form writing editor for storytellers
Convert video to 3D animation instantly
Extract text from images with OCR
Generate Anki flashcards from study materials
Create and schedule AI photos, videos, and voiceovers
Text-to-podcast tool with 120+ AI voices and natural conversations in multiple languages
Rewrite AI text to bypass detection
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
Convert AI-generated text to human-sounding writing
SMS, WhatsApp, and voice agents for Microsoft Teams
Professional plagiarism detection for text
Convert PDFs into TikTok-style study videos
Extract text from images, documents, and screenshots
Text-to-speech, voice-to-text, and translation
Create custom emojis with AI
Voice-to-text dictation and transcription
AI landing page builder for marketers
Collaborative writing app with AI help
Make AI text bypass detection tools
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.