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AI · alternatives · 2026

24 alternatives to TwoTrim

Safest way to save the AI token costs

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1
    Edgee▲196

    The AI Gateway that TL;DR tokens

    Feb 2026 · edgee.ai · its alternatives →

  2. 2

    I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…

    Nov 2025 · github.com · its alternatives →

  3. 3

    Cut your LLM Token Costs by 65%

    Jul 2026 · supercompress.dev · its alternatives →

  4. 4
    Tokenwise▲143

    A smart LLM proxy that shows where you're overpaying

    Jun 2026 · tokenwisehq.com · its alternatives →

  5. 5

    See your LLM token bill before you hit send.

    2025 · tokenomy.ai · its alternatives →

  6. 6

    Thrive in a world of increasing LLM costs

    2025 · tokencrush.ai · its alternatives →

  7. 7
    AiPrice▲96

    API for calculating OpenAI LLM tokens and pricing

    2023 · aiprice.dev · its alternatives →

  8. 8

    Cut LLM Costs 30-80% 2-Minute Setup.

    Dec 2025 · costbase.ai · its alternatives →

  9. 9

    Cost effective LLM inference API for startups & developers

    2024 · awanllm.com · its alternatives →

  10. 10

    Intelligent LLM Cost Optimization Platform

    Mar 2026 · optillm.puniminds.com · its alternatives →

  11. 11

    Paste your prompt → optimize it → cut token cost instantly.

    Apr 2026 · frukal.com · its alternatives →

  12. 12

    Nowadays, a common AI tech stack has hundreds of different prompts running across different LLMs. Three key problems: - Choices, picking from 100s of LLMs the best LLM for that 1 prompt is gonna be challenging, you're probably not picking the most optimized LLM for a prompt you wrote. - Scaling/Upgrading, similar to choices but you want to keep consistency of your output even when models depreciate or configurations change. - Prompt management is scary, if something works, you'll never want to touch it but you should be able to without fear of everything breaking. So we launched Prompt…

    2024 · jigsawstack.com · its alternatives →

  13. 13

    Trim unnecessary code, save AI tokens, and reduce API costs.

    Aug 2026 · token-trim.vercel.app · its alternatives →

  14. 14

    Run GPT-OSS, Qwen, Llama, and DeepSeek through one OpenAI-compatible API with streaming and clear usage-based pricing.

    May 2026 · adola.app · its alternatives →

  15. 15

    Cut LLM token costs by up to 95% without sacrificing quality

    Jul 2026 · vrugxinbzg.a.pinggy.link · its alternatives →

  16. 16

    Hi 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…

    Jul 2026 · yolo-auto.com · its alternatives →

  17. 17

    Trim your AI prompts. Same answer, 40% fewer tokens.

    Sep 2026 · chromewebstore.google.com · its alternatives →

  18. 18

    hi. i'm dulra. i strongly believe in moving humanity forward. we're at a tipping point: ai-driven applications are generating hundreds of millions of prompts daily, costing organizations millions in token fees and creating governance nightmares. every wasted word compounds at scale—across chatbots, summarizers, code assistants, and virtual agents—making prompt efficiency not just a nice-to-have, but a strategic imperative. by treating prompts as first-class assets, we can drive down llms usage costs by up to 60%, eliminate compliance risks, and unlock new multi-model workflows that keep us…

    2025 · prompt-efficiency-suite.lovable.app · its alternatives →

  19. 19

    Hi HN! Token cost has started to become a high topic of concern to all of us. I tried a few (awesome) tools such as rtk, caveman, and the recent (hillarious but effective) ponytail. What they usually do, is in-line token reduction, e.g. try to compress requests / responses as much as possible. But then it hit me (and I’m sure others had similar ideas) - just like we have routers that pick the right model, why not have something that will also narrow down the amount of available tools, skills and mcps based on repo/context? People usually accumulate skills, agents, MCP servers,…

    Jun 2026 · github.com · its alternatives →

  20. 20

    Free real-time, low latency lossless LLM prompt compression

    2025 · promptfold.web.app · its alternatives →

  21. 21

    High-volume AI API. 4.5x cheaper than OpenAI

    Dec 2025 · tokenthon.com · its alternatives →

  22. 22

    Cut LLM token costs 40-70% with offline prompt compression

    Jul 2026 · llmslim.app · its alternatives →

  23. 23

    Clean up your AI bills with one line of code

    2025 · its alternatives →

  24. 24

    Cut AI token costs 30-60% with smarter JSON encoding

    Nov 2025 · toonifyit.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →