DeepSeek
generalOpen-weight LLMs including a 671B MoE model that matches GPT-4o at far lower API cost
Browse the best with free tier llms 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
LLM tooling has exploded alongside the models themselves, and the category now spans several distinct problem areas. Deployment and serving tools like PeriFlow and Dstack help teams run models efficiently at scale. Evaluation and observability tools like UpTrain and AIWatch track model quality, drift, and cost over time. Memory and retrieval tools like Cognee add persistent context or RAG capabilities to LLM applications. When choosing, the key questions are infrastructure fit (cloud, on-prem, or hybrid), model compatibility (OpenAI-only vs. open-weight models), and whether the tool addresses your actual bottleneck, whether that is latency, cost, accuracy, or developer velocity. Pricing structures vary: some tools charge per token processed, others per seat or per API call. Open-source options exist across most sub-categories, which is worth considering for teams with engineering capacity to self-host.