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LLM Radar
Track statistics, costs and words used for AI and LLMs.
Explore real-world OpenRouter model analytics beyond benchmarks. Track historical token activity, monitor market share across top providers, compare model specs, and estimate exact API inference costs with a built-in token calculator.
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!
About LLM Radar on Product Hunt
“Track statistics, costs and words used for AI and LLMs.”
LLM Radar was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #400 on the daily leaderboard. Explore real-world OpenRouter model analytics beyond benchmarks. Track historical token activity, monitor market share across top providers, compare model specs, and estimate exact API inference costs with a built-in token calculator.
On the analytics side, LLM Radar competes within Analytics, Developer Tools and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how LLM Radar performed against the three products that launched closest to it on the same day.
Who hunted LLM Radar?
LLM Radar was hunted by GenerateHost. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of LLM Radar including community comment highlights and product details, visit the product overview.
GenerateHost