LLM Token Visualizer – How big is 128k token input
LLM Token Visualizer – How big is 128k token input launched on March 1, 2025 with 6 votes and more than 75% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Created with v0
Visualize how many tokens are in different text lengths by adjusting the sliders below. The text below represents approximately how much content fits in the selected token counts. Colors indicate different token milestones. Tokens are the basic units that LLMs process. In English, a token is approximately 4 characters or 0.75 words. Different models have different context window sizes (maximum tokens they canfrom v0-llm-token-visualizer.vercel.app
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Tokensift, an open-sourced token-efficiency linter for LLM promptsAug 2026 · github.com · ▲6Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift
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We explored a novel method to gauge the significance of tokens in prompts given to large language models, without needing direct model access. Essentially, we just did an ablation study on the prompt using cosine similarity of the embeddings as the measure. We got surprisingly promising results when comparing this really simple approach to integrated gradients. Curious to hear thoughts from the community!
An unmetered LLM API–$6/month, no token tracking, no limitsJul 2026 · yolo-auto.com · ▲12Hi HN, I was once given the advice: Don't waste expensive frontier model credits (GPT/Claude/etc.) on bulk work. Send the boring, repetitive, high-volume jobs to a smaller model, and save the expensive prompts for when you actually need frontier-level reasoning. I complained and told my manager that I shouldnt have to think about using certain models for certain coding tasks, and that one model should handle everything. Well, here we are anyway. If anyone needs a place to absolutely abuse an LLM with high-volume tasks, come beat ours up at https://yolo-auto.com. Here are…
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