Alternatives

Products that do what LLM Token Visualizer – How big is 128k token input does

1. 1
   Tokensift, an open-sourced token-efficiency linter for LLM prompts▲6

   Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift

   8d ago · github.com

2. 2BP
   Byte-Pair Encoding tokenizer for training LLMs on large datasets▲5

   2024 · github.com

3. 3BS
   Byte Size Text Visualizer▲5

   2024 · unli.xyz

4. 4TT
   TokenPath – token-level citations for LLM output, read from attention▲5

   Jul 2026 · tokenpath.ai

5. 5LL
   LLMStack – Low-Code Platform for Building LLM Apps with LocalAI Support▲7

   2023 · github.com

6. 6AT
   A text format for UI wireframes – comparing token costs across 4 format▲5

   I've been exploring how to describe UI layouts to LLMs efficiently. The problem: When you ask an AI to generate or modify UI, how do you describe the current state? - Natural language ("header on top, form below") is ambiguous - ASCII art breaks when edited (alignment issues) - HTML is precise but verbose I ran some measurements. For a simple login form: - Natural language: 102 tokens - ASCII art: 84 tokens - HTML: 330 tokens I experimented with a grid-based text format using Excel-like cell references: grid: 4x3 A1..D1: { type: txt, value: "Login" } A2..D2: { type: input, label: "Email" }…

   Feb 2026 · github.com

7. 7AT
   A tool to properly observe your LLM's context window▲8

   Oct 2025 · blog.nilenso.com

8. 8LW
   LLM Wiki – Open-Source Implementation of Karpathy's LLM Wiki▲6

   Apr 2026 · llmwiki.app

9. 9TL
   `tc` like `wc` but for LLM tokens▲8

   Little tool that I made to understand how (un)reasonable my prompts are.

   Jan 2026 · github.com

10. 10PS
    PromptQL – Solving Context Size and Accuracy Issues in LLM Tool Calling▲6

    2024 · promptql.hasura.io

11. 11PL
    PromptFlow – Low-Code GUI Tool to Chain LLM Prompts with Flowcharts▲7

    2023 · github.com

12. 12TC
    Tokenmaxx – CLI that merges usage across Claude Code and Codex accounts▲5

    Jul 2026 · github.com

13. 13AS
    A static scanner for LLM app code▲6

    2025 · github.com

14. 14LC
    Long context window for LLMs▲6

    2024 · colab.research.google.com

15. 15AA
    An all-in-one blog for learning Large Language Models (LLMs)▲5

    An all-in-one blog for learning LLM ins and outs: tokenize, attention, PE, and more Project I've been diving deep into the internals of Large Language Models (LLMs) and started documenting my findings. My blog covers topics like: Tokenization techniques (e.g., BBPE) Attention mechanism (e.g. MHA, MQA, MLA) Positional encoding and extrapolation (e.g. RoPE, NTK-aware interpolation, YaRN) Architecture details of models like QWen, LLaMA Training methods including SFT and Reinforcement Learning If you're interested in the nuts and bolts of LLMs, feel free to check it out:…

    2025 · comfyai.app

16. 16LI
    LLM Inference Calculator – Estimate VRAM, Latency, and Throughput▲6

    LLM Inference Calculator — Estimate throughput, latency, TTFT, TPOT, and GPU memory usage for large language model inference. LLM 推理计算器 — 估算大模型推理吞吐量 (throughput)、延迟 (latency)、TTFT、TPOT 与 GPU 显存占用。

    9d ago · llm-inference-calculator-delta.vercel.app

17. 17SO
    Semantic Overlays – an NX bit for LLM prompt injection (live demo)▲6

    Tiny adapters added to a frozen language model. They only fire at marked token positions, and they change how the model perceives those spans.

    5d ago · semantic-overlays.vercel.app

18. 18IB
    I built a tool to find the best and cheapest LLM models for my projects▲5

    Hey HN, I've been working on something cool that I wanted to share with you all. It's called Viewpoint, an analytics tool for LLMs like OpenAI, Anthropic models, and Gemini. The idea came from the constant flood of new LLM models and the need to figure out which ones work best for my projects without breaking the bank. With viewpoint, I can track token usage, costs, latency(WIP), and traffic over time, making it easier to compare different models and see which ones perform best and save money. The tool works asynchronously, so it doesn't add any latency to your LLM requests, and you have…

    2024 · viewpointhq.com

19. 19AC
    A Command-Line Sentence Tokenizer Written in Golang▲6

    2015 · github.com

20. 20LT
    LLM Thematic Generalization Benchmark▲6

    2025 · github.com

21. 21UA
    Understand and reduce token usage with ContextSpy context profiler▲6

    Jun 2026 · github.com

22. 22LW
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    Apr 2026 · github.com

23. 23LR
    LLM Round‑Trip Translation Benchmark▲6

    Sep 2025 · github.com

24. 24BF
    Backend for LLM coding copilots▲5

    2023 · e2b.dev

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