DeepSeek
generalOpen-weight LLMs including a 671B MoE model that matches GPT-4o at far lower API cost
Browse the best freemium llms tools on Listof.Best — 136 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
Create slides from text instantly
Generate music tracks with AI
Convert AI text to natural, human-like writing
Browse TikTok and Meta ads to find winning creatives
Generate Excel formulas and analyze spreadsheets without coding
Long-form writing editor for storytellers
Real-time speech translation with AI voices
Convert video to 3D animation instantly
Extract text from images with OCR
Free AI sound effect generator from text
SEO-optimized blog posts from real data
Generate unique text for blogs, marketing, and writing projects
Generate short videos from text prompts
Generate custom T-shirt designs from text or images
Translate subtitles in SRT, VTT, MP3, MP4, and WAV files
Fast, SEO-ready blogging platform with zero maintenance
Spreadsheet to published SEO articles
Automate freight forwarding and logistics workflows
Generate essays with real citations in seconds
Learn faster with spaced repetition and active recall
Convert text and images to SVG
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.