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Products that do what LLM Pricing does

LLMs price comparison tool developed and updated by LLM

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    Calculate and compare the cost of the latest LLM APIs

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  2. 2

    Find your best LLM for a local inference

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  3. 3

    Compare LLMs on your data, measure, and pick the best.

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    AiPrice96

    API for calculating OpenAI LLM tokens and pricing

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  5. 5

    AI prompt engineering business model guide

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  6. 6IB

    I was overspending on GPT-4o. It was really hard to compare different models I could switch to, so I built this LLM comparison tool. It shows leaderboards, pricing, and performance data across 100+ LLMs (including all major providers and open-source models). Key features: - Live pricing comparisons - Benchmark Scores (MMLU, HumanEval, GPQA, etc.) - Context length vs cost analysis - Speed/throughput tests across providers - Quality vs price visualizations - Open source (all data verifiable) Try it out: https://llmstats.com I'd like to know your opinion :) Tech stack: Next.js,…

    2025 · llm-stats.com

  7. 7
    Mammouth190

    Get access to the best LLMs in one place for 10€

    2024

  8. 8

    See your LLM token bill before you hit send.

    2025

  9. 9
    ReachLLM214

    Dominate the AI Search Era

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  10. 10

    Competitor price monitoring for ecommerce

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  11. 11

    Aggregate uptime monitoring across OpenAI, Claude, and more

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  12. 12

    Test-driven development for LLMs

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  13. 13
    Selene 1196

    Evaluate your AI app with the most accurate LLM Judge

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  14. 14
    Edgee196

    The AI Gateway that TL;DR tokens

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  15. 15

    Get your site AI ready with a llms.txt

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  16. 16

    Compare LLM API pricing and calculate real costs

    5d ago · llmprice.com

  17. 17

    Unlock your knowledge with 2000 LLM prompts

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  18. 18

    Track and improve your visibility on AI Search

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  19. 19

    Real-time LLM pricing. No spreadsheets, no outdated numbers.

    14d ago · llmapicost.dev

  20. 20IB

    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

  21. 21EA

    A few months ago I was working on a flight search engine that would include pet transport costs (I know a few by hearth but storing them and make the calculations in the UI would be nice) While I was collecting pet pricing from several airlines I strugled to extract data in a common format without hallucinated values. That's when I thought: What if I use multiple LLMs and take the most common response to improve accuracy? This idea became this new project. You provide your documents, an SQLModel schema, an LLM provider, plus what you'd like to extract and Extrai does the rest. Including…

    Nov 2025 · github.com

  22. 22VA
  23. 23SD

    Hi! Been working on DialtoneApp, a free domain scanning tool to see how your site does with all the new rules for AI SEO. Also known as AEO (Answer Engine Optimization) or GEO (Generative Engine Optimization) the A can also stand for "Agent"! It's a whole new world out there and we haven't even gotten to agents.json files and the new "b2b" (bot to bot) commerce part. But there are some standards starting to take shape with llms.txt and using things like: on all your html pages to have this other markdown version. We list the top 300 sites in terms of how well they follow all the new rules.…

    Apr 2026

  24. 24AA

    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

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