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TokenLens

Count tokens & compare LLM costs — free, instant, private

TokenLens counts your text's tokens exactly with OpenAI's official tokenizer and shows how it fits into 22+ models' context windows — GPT-5, Claude, Gemini, DeepSeek, Qwen, GLM, Kimi, Grok and more. See per-model input costs and per-1M pricing, auto-synced from the open LiteLLM database. 100% client-side: free, no sign-up, your text never leaves the browser.

Top comment

Hi PH! 👋 I built TokenLens because every "token counter" I found was either inaccurate, plastered with ads, or vague about which tokenizer it actually used. Three things I focused on: 🔍 Accuracy — OpenAI models are counted with the real o200k/cl100k tokenizers; other vendors are clearly marked as estimates 📊 Context + cost in one view — see where your text lands in each model's context window and what it costs, with pricing auto-synced from the open-source LiteLLM database 🔒 Privacy — everything runs in your browser; the only external request is the pricing data It's a single HTML file, fully open source: https://github.com/Tliens/TokenLens Would love your feedback on which models to add next!

About TokenLens on Product Hunt

Count tokens & compare LLM costs — free, instant, private

TokenLens was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #33 on the daily leaderboard. TokenLens counts your text's tokens exactly with OpenAI's official tokenizer and shows how it fits into 22+ models' context windows — GPT-5, Claude, Gemini, DeepSeek, Qwen, GLM, Kimi, Grok and more. See per-model input costs and per-1M pricing, auto-synced from the open LiteLLM database. 100% client-side: free, no sign-up, your text never leaves the browser.

On the analytics side, TokenLens competes within Productivity and GitHub — topics that collectively have 702.6k followers on Product Hunt. The dashboard above tracks how TokenLens performed against the three products that launched closest to it on the same day.

Who hunted TokenLens?

TokenLens was hunted by 宇宙无敌天下第一魁君主上. 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 TokenLens including community comment highlights and product details, visit the product overview.