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AI · alternatives · 2026

24 alternatives to LLM Stats

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,…

LLM Stats is a platform that lets developers compare AI models side-by-side using benchmarks, pricing, and capabilities. It offers a playground and API for accessing hundreds of models simultaneously, making it easy to… 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

    LLMs price comparison tool developed and updated by LLM

    2024 · ailesson.io · its alternatives →

  2. 2

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

    Apr 2026 · trismik.com · its alternatives →

  3. 3

    Find the local LLM that actually runs and performs best on your hardware. Ranked by real, recency-aware benchmarks, not parameter count. One command, run it instantly. - Andyyyy64/whichllm

    May 2026 · github.com · its alternatives →

  4. 4

    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 →

  5. 5AT

    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&#x2F;sec): Overall output fluency Demo: https:&#x2F;&#x2F;llmapitest.com&#x2F; Code: https:&#x2F;&#x2F;github.com&#x2F;qjr87&#x2F;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 →

  6. 6

    Compare AI models easily! All providers in one place. Find the best LLM for your needs with our comprehensive pricing calculator and feature comparison tool. OpenAI, Anthropic, Google, and more.

    2024 · countless.dev · its alternatives →

  7. 7UD

    Hey HN! I’m the founder of Unify, and we’ve just released our Model Hub, which provides a collection of LLM endpoints with live runtime benchmarks all plotted across time: https:&#x2F;&#x2F;unify.ai&#x2F;hub A key finding is that static tabular runtime benchmarks for LLMs simply do not work. It’s necessary to take a time-series perspective, and plot the variations through time. We currently have 21 models provided by: Anyscale, Perplexity AI, Replicate, Together AI, OctoAI, Mistral AI and OpenAI, with more on the roadmap. We test across different regions (Asia, US, Europe), with varied…

    2024 · its alternatives →

  8. 8
    LLMrefs▲314

    AI SEO Keyword Rank Tracker for LLM Search Engines

    2025 · llmrefs.com · its alternatives →

  9. 9

    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 &#x2F; latency &#x2F; cost per token) For each LLM, my aim is to benchmark them for…

    2023 · github.com · its alternatives →

  10. 10

    Pick hardware and a model, and feel the real speed of a local LLM before you buy. Simulates tokens/sec and time-to-first-token from verified benchmarks for GPUs, Macs, and more.

    4d ago · llmspeed.dev · its alternatives →

  11. 11

    Check your brand's visibility on ChatGPT and Google Gemini

    2025 · llmseoreport.com · its alternatives →

  12. 12

    LLM benchmarking tool for task-specific metrics on your data

    2023 · github.com · its alternatives →

  13. 13

    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 →

  14. 14

    Calculate and compare the cost of the latest LLM APIs

    2024 · docsbot.ai · its alternatives →

  15. 15

    Hi HN, We just launched [AI Page Ready](https:&#x2F;&#x2F;aipageready.com) — a tool to check if your web pages are discoverable and understandable by AI tools like ChatGPT, Claude, Gemini, and Perplexity. It runs 40+ checks across six areas: Discoverability & Crawlability, Structured Data & Semantics, Content Quality, Answer-Ready Formatting, Accessibility & Rendering, and Deep AI LLM-specific checks. Would love your feedback — especially if you work in eCommerce, SEO, content, SaaS, or are trying to get traffic from AI tools. (Also open to ideas on what else to add to the tool!)

    2025 · aipageready.com · its alternatives →

  16. 16

    Hey Folks! I've been building an open source benchmark for measuring local LLM performance on your own hardware. The benchmarking tool is a CLI written on top of Llamafile to allow for portability across different hardware setups and operating systems. The website is a database of results from the benchmark, allowing you to explore the performance of different models and hardware configurations. Please give it a try! Any feedback and contribution is much appreciated. I'd love for this to serve as a helpful resource for the local AI community. For more check out: - Website:…

    2025 · localscore.ai · its alternatives →

  17. 17

    Test and compare results from Large Language Models (LLMs) simultaneously, including Anthropic's Claude 1.2, OpenAI's GPT-4, GPT-3.5 turbo, and Cohere's CommandXL Nightly. Analyze the results side-by-side in a single UI on top of LLM APIs.

    2023 · retool.com · its alternatives →

  18. 18

    Aggregate uptime monitoring across OpenAI, Claude, and more

    Apr 2026 · tools.lamatic.ai · its alternatives →

  19. 19IB

    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 · its alternatives →

  20. 20

    The LLM Evaluation Framework. Contribute to confident-ai/deepeval development by creating an account on GitHub.

    2023 · github.com · its alternatives →

  21. 21

    The ultimate LLM comparison tool

    Jan 2026 · whatllm.org · its alternatives →

  22. 22IG

    Data automation and visualization platform for spreadsheet users.

    2024 · columns.ai · its alternatives →

  23. 23

    Performance comparison of ClickHouse vs PostgreSQL using LLM-style query patterns on realistic aircraft tracking data - GitHub - 514-labs/LLM-query-test: Performance comparison of ClickHouse vs PostgreSQL using LLM-style query patterns on realistic aircraft tracking data

    2025 · github.com · its alternatives →

  24. 24

    G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…

    2023 · github.com · its alternatives →

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