Hey Product Hunt! 👋 With new AI models launching every week, benchmark scores only tell half the story. A model can top a leaderboard, but is anyone actually building with it? That’s why I built LLM Radar—a data-driven analytics hub designed to help developers, researchers, and AI builders look beyond marketing hype and understand real-world model adoption. 🚀 Key Features: 📊 Real-World Token Analytics: Track recorded daily token usage, momentum, and trends across 400+ OpenRouter models. 🌐 Provider Market Share: See top-performing namespaces (DeepSeek, Anthropic, OpenAI, Z-AI, Xiaomi, and more). 🧮 LLM Token Calculator: Count exact input/output tokens using native browser tokenizers (gpt-tokenizer & Transformers.js) and estimate API costs before sending requests. 🔍 Model Specs & Specs Comparison: Quickly review context window sizes, output limits, pricing, and supported modalities in one place. Check it out at chippytime.com/llmradar and let me know what features or data visualizers you'd like to see next!

LLM Radar

Track statistics, costs and words used for AI and LLMs.

Track statistics, costs and words used for AI and LLMs.