AI · alternatives · 2026

24 alternatives to Auriko

Trading desk for LLM calls

Auriko is a trading desk platform that reduces costs for companies making large numbers of LLM API calls. It routes requests across multiple LLM providers—treating them like trading venues—to optimize for token price… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

1
Inferock Bench▲295
Local LLM cost-tracking proxy for OpenAI, Anthropic, Gemini, and pinned OpenRouter calls with token usage, failure, and billing-integrity receipts. - inferock/inferock-bench
Aug 2026 · github.com · its alternatives →
2
LangSmith▲350
Build and deploy LLM applications with confidence
2023 · langchain.com · its alternatives →
3
Why write code if the LLM can just do the thing? (web app experiment)▲436
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 →
4
LLM Pricing▲178
LLMs price comparison tool developed and updated by LLM
2024 · ailesson.io · its alternatives →
5
TensorZero▲307
Hi HN! We're Gabriel & Viraj, and we're excited to open source TensorZero. To be a little cheeky, TensorZero is an open-source platform that helps LLM applications graduate from API wrappers into defensible AI products. 1. Integrate our model gateway 2. Send metrics or feedback 3. Unlock compounding improvements in quality, cost, and latency It enables a data & learning flywheel for LLMs by unifying: • Inference: one API for all LLMs, with <1ms P99 overhead • Observability: inference & feedback → your database • Optimization: better prompts, models, inference strategies • Experimentation:…
2025 · github.com · its alternatives →
6
Aurko ▲3
An ai-gateway that cuts llm api costs by 40-70%.
Jun 2026 · github.com · its alternatives →
7
LLM Stats▲293
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,…
Oct 2025 · llm-stats.com · its alternatives →
8
Aureo.io▲89
MLOps platform with predictive and conversational AI
2023 · aureo.io · its alternatives →
9
Akkio▲300
No-code ML for modern sales and marketing teams
2021 · akkio.com · its alternatives →
10
Inferock▲263
Serverless inference, with credits back for failed calls.
22d ago · inferock.ai · its alternatives →
11
Tokenwise▲143
A smart LLM proxy that shows where you're overpaying
Jun 2026 · tokenwisehq.com · its alternatives →
12
MakeHub.ai▲118
LLM Provider arbitrage to get the best performance for the $
2025 · makehub.ai · its alternatives →
13
finetune LLMs via the Finetuning Hub▲80
Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
2023 · github.com · its alternatives →
14
Deploy your own algo-trader in 5 minutes with 0 code▲80
Invest in algo-driven, automatically rebalanced portfolios built by quants. Congressional trades, AI stocks, leveraged strategies and more. Start with $50.
2021 · getquantbase.com · its alternatives →
15
Awan LLM▲95
Cost effective LLM inference API for startups & developers
2024 · awanllm.com · its alternatives →
16
Open-source LLM provider price comparison▲125
Looking for the cheapest place to deploy llama 3.1 model? Don't worry we have found it so you don't have to.
2024 · github.com · its alternatives →
17
Alpha Vantage MCP▲104
We just released an MCP server that lets Claude (or any MCP client) pull real-time and historical financial data: equities, options chains, crypto, FX, commodities, fundamentals, economic indicators, and 50+ technical signals. You can ask things like: “Plot NVDA’s RSI vs AMD’s over the past year.” “Show the yield curve shift since 2020.” “What are Apple’s recent earnings surprise trends? “Make a 3-statement model for ORCL.” Claude runs the requests, does the math, and returns the data or generates charts/models all inside the chat. Setup takes about a minute. You’ll need Claude Pro…
Nov 2025 · mcp.alphavantage.co · its alternatives →
18
Tokenomy.ai▲105
See your LLM token bill before you hit send.
2025 · tokenomy.ai · its alternatives →
19
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 →
20
MOMO Pro+ Momentum Stock Platform▲59
AI-less tool focused on helping trader's trade
2023 · mometic.com · its alternatives →
21AT
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 →
22
LLM wrapped around stocks and crypto▲5
Effortlessly Trade Stocks & Crypto On-Chain
2025 · aulico.com · its alternatives →
23
Building an LLM from Scratch in TypeScript▲33
The from-scratch guide to building large language models in NodeJS.
8d ago · book.humanexperiences.io · its alternatives →
24
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 →

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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 →