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AI · alternatives · 2026

24 alternatives to ProviderBench

Compare AI Inference Providers

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
    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 →

  2. 2

    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 →

  3. 3

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

    Apr 2026 · trismik.com · its alternatives →

  4. 4

    LLMs price comparison tool developed and updated by LLM

    2024 · ailesson.io · its alternatives →

  5. 5

    LLM benchmarking tool for task-specific metrics on your data

    2023 · github.com · its alternatives →

  6. 6

    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 →

  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://unify.ai/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

    Explore and compare AI models and their benchmarks

    Nov 2025 · llm-models.org · its alternatives →

  9. 9AT

    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. 10

    Find your best LLM for a local inference

    2023 · its alternatives →

  11. 11

    Cost effective LLM inference API for startups & developers

    2024 · awanllm.com · its alternatives →

  12. 12

    Compare 64+ LLM models in one place

    2024 · anotherwrapper.com · its alternatives →

  13. 13

    LLM Provider arbitrage to get the best performance for the $

    2025 · makehub.ai · its alternatives →

  14. 14
    Tokenwise▲143

    A smart LLM proxy that shows where you're overpaying

    Jun 2026 · tokenwisehq.com · its alternatives →

  15. 15

    LLM router where providers compete for every prompt

    15d ago · liquidinference.ai · its alternatives →

  16. 16

    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 →

  17. 17

    Compare LLM outputs (GPT-4, Claude...) in simple playground.

    Nov 2025 · llm-lab-three.vercel.app · its alternatives →

  18. 18

    The ultimate LLM comparison tool

    Jan 2026 · whatllm.org · its alternatives →

  19. 19

    Faster, better AI content with a human touch

    2024 · copyreadynow.com · its alternatives →

  20. 20

    Compare models against each other and pick the best fit

    2024 · model-royale.lol · its alternatives →

  21. 21

    Compare LLM API prices across 26 models. Stop overpaying

    Jul 2026 · opcmake.com · its alternatives →

  22. 22

    A fast.com style benchmarking tool for LLM APIs. Compare OpenAI, Anthropic, Groq, Cerebras, Fireworks AI, Mistral, OpenRouter, Google Gemini, x.ai, z.ai, Kimi, and local models. See live streaming output with real-time throughput metrics. Race Mode lets you run multiple providers in parallel and wat

    Jun 2026 · iamspeed.dev · its alternatives →

  23. 23

    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 →

  24. 24

    Deepmark AI enables a unique testing environment for language models (LLM) assessment on task-specific metrics and on your own data so your GenAI-powered solution has predictable and reliable performance. - IngestAI/deepmark

    2023 · github.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 →