AI · alternatives · 2026

24 alternatives to LLMSlim v0.3.0

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

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites.

1
SuperCompress▲16
Cut your LLM Token Costs by 65%
Jul 2026 · supercompress.dev · its alternatives →
2
GitHub▲1
Cut LLM token costs 30–60% — local, instant, zero API calls
Apr 2026 · github.com · its alternatives →
3
Min.js style compression of tech docs for LLM context▲177
Min.js Style Compression of Tech Docs for LLM Context - marv1nnnnn/llm-min.txt
2025 · github.com · its alternatives →
4
TokenDagger – A tokenizer faster than OpenAI's Tiktoken▲281
TokenDagger is a drop-in replacement for OpenAI’s Tiktoken (the tokenizer behind Llama 3, Mistral, GPT-3.*, etc.). It’s written in C++ 17 with thin Python bindings, keeps the exact same BPE vocab/special-token rules, and focuses on raw speed. I’m teaching myself LLM internals by re-implementing the stack from first principles. Profiling TikToken’s Python/Rust implementation showed a lot of time was spent doing regex matching. Most of my perf gains come from a) using a faster jit-compiled regex engine; and b) simplifying the algorithm to forego regex matching special tokens at all.…
2025 · github.com · its alternatives →
5
Tokenwise▲143
A smart LLM proxy that shows where you're overpaying
Jun 2026 · tokenwisehq.com · its alternatives →
6
Edgee▲196
The AI Gateway that TL;DR tokens
Feb 2026 · edgee.ai · its alternatives →
7
LLM Pricing▲178
LLMs price comparison tool developed and updated by LLM
2024 · ailesson.io · its alternatives →
8
An unmetered LLM API–$6/month, no token tracking, no limits▲12
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 →
9AT
A tool to benchmark LLM APIs (OpenAI, Claude, local/self-hosted)▲55
I recently built a small open-source tool to benchmark different LLM API endpoints — including OpenAI, Claude, and self-hosted models (like llama.cpp). It runs a configurable number of test requests and reports two key metrics: • First-token latency (ms): How long it takes for the first token to appear • Output speed (tokens/sec): Overall output fluency Demo: https://llmapitest.com/ Code: https://github.com/qjr87/llm-api-test The goal is to provide a simple, visual, and reproducible way to evaluate performance across different LLM providers, including…
2025 · llmapitest.com · its alternatives →
10
Costbase▲6
Cut LLM Costs 30-80% 2-Minute Setup.
Dec 2025 · costbase.ai · its alternatives →
11
Code Mode▲144
I’ve been testing a simple idea inspired by Apple/Cloudflare/Anthropic: LLMs are far better at writing a small program than coordinating multiple tool calls. So instead of giving the model 10+ tools, I exposed one: a TypeScript sandbox with access to the same interfaces. The model writes a script → it runs once → done. What changed - +68% reduction in token use - No multi-step drift or retries - Local models (Llama 3.1 8B / Phi-3) became much more reliable Repo: https://github.com/universal-tool-calling-protocol/code-mode Curious whether others have seen…
Nov 2025 · github.com · its alternatives →
12RA
Relari – Auto Prompt Optimizer as Lightweight Alternative to Finetuning▲32
Hi HN, we are the founders of Relari (https://www.relari.ai). We launched our LLM evaluation stack on HN a few months ago (https://news.ycombinator.com/item?id=39641105), which is now used in production by AI teams at companies like Vanta and PwC. We have since expanded to directly optimizing parts of an LLM pipeline using a data-driven approach. In particular, we see a lot of potential in the Auto Prompt Optimization—which could be an attractive alternative to fine-tuning in many cases—to use data to align LLMs for domain-specific tasks. Here’s a demo video:…
2024 · its alternatives →
13
PromptFold▲6
Free real-time, low latency lossless LLM prompt compression
2025 · promptfold.web.app · its alternatives →
14
Reducing LLM input tokens by 70%▲56
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
SemanticGuard▲7
Cuts your LLM API costs by 40-70%. One line of code.
May 2026 · semanticguard.dev · its alternatives →
16
TwoTrim▲8
Safest way to save the AI token costs
2025 · twotrim.com · its alternatives →
17
LLMFlows – LangChain alternative for explicit and transparent apps▲49
Hi HN! Over the last several weekends, I've been building LLMFlows as an alternative to langchain. There's been a lot of discussion on the shortcomings of langchain in the past few weeks, but when I first tried it in March, I thought there are 3 main problems: 1. Too many abstractions 2. Hidden prompts and opinionated logic in chains which makes it hard to customize 3. Hard to debug This inspired me to try and build a framework that solves these 3 issues, and therefore I started building LLFlows with the "philosophy" of being "simple, explicit, and transparent." A few weekends later, I think…
2023 · github.com · its alternatives →
18
Promptly▲13
An AI Cost Optimization Infrastructure for LLM Applications
Mar 2026 · getpromptly.in · its alternatives →
19
Tokensift, an open-sourced token-efficiency linter for LLM prompts▲6
Token-efficiency linter for LLM prompts and payloads - ritenv/tokensift
Aug 2026 · github.com · its alternatives →
20
Toonifyit▲6
Cut AI token costs 30-60% with smarter JSON encoding
Nov 2025 · toonifyit.com · its alternatives →
21LP
Llmswap – Python package to reduce LLM API costs by 50-90% with caching▲12
I built llmswap to solve a problem I kept hitting in hackathons - burning through API credits while testing the same prompts repeatedly during development. It's a simple Python package that provides a unified interface for OpenAI, Anthropic, Google Gemini, and local models (Ollama), with built-in response caching that can cut API costs by 50-90%. Key features: - Intelligent caching with TTL and memory limits - Context-aware caching for multi-user apps - Auto-fallback between providers when one fails - Zero configuration - works with environment variables from llmswap import LLMClient client…
2025 · pypi.org · its alternatives →
22
LLM Image Optimizer▲18
Intelligently cut token costs by 80% in AI context workflows
2025 · image-optimizer.app · its alternatives →
23
LLMRouter — Cut our token bills by 50%paid▲5
One API. Lowest token prices.
Jul 2026 · videorouter.sh · its alternatives →
24
OptiLLM▲5
Intelligent LLM Cost Optimization Platform
Mar 2026 · optillm.puniminds.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 →