DeepSeek
generalOpen-weight LLMs including a 671B MoE model that matches GPT-4o at far lower API cost
Browse the best with free tier general tools on Listof.Best — 239 options, ranked by popularity. Compare features, pricing and alternatives at a glance.
Open-weight LLMs including a 671B MoE model that matches GPT-4o at far lower API cost
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
Turn text prompts into AI-generated videos
Create videos with AI actors
Voice-to-text for Mac, Windows, iOS
Create slides from text instantly
Generate music tracks with AI
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
Fast translations across multiple languages
Portfolio platform with galleries and zero-commission sales
Voice-to-text transcription for notes and messages
Generate Excel formulas and analyze spreadsheets without coding
Long-form writing editor for storytellers
Real-time speech translation with AI voices
Open-source rich text editor framework with extensions
Fast, open-source search and AI retrieval engine
Convert video to 3D animation instantly
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.