ProviderBench
Compare AI Inference Providers
ProviderBench launched on August 4, 2026 with 3 votes, #2,940 of 23,274 launches that month and more than 50% of that year's launches.
What it does
Compare LLM providers with same-model normalized benchmarks for response time, first-token speed, output speed, price, reliability, and model coverage.
Compare same-model response time, first-token speed, output speed, price, reliability, available models, context size, and exact OpenRouter routes. These cards use each visible provider’s median published catalog price and response time; they are separate from the model-adjusted leaderboard rating. Prices use a 1,000-input/500-output-token mix normalized to 1 million total tokens. We compare providers running the exact same models, so offering naturally faster models does not improve the model-adjusted rating. A provider needs at least three shared models. The rating uses the slower-performing quarter of its results, and results based on fewer than ten shared models are moderated because…from providerbench.ai
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LLM StatsOct 2025 · llm-stats.com · ▲293I 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,…
Countless.dev – A website to compare every AI model: LLMs, TTSs, STTs2024 · countless.dev · ▲361Compare 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.
QuickCompare by TrismikApr 2026 · trismik.com · ▲231Compare LLMs on your data, measure, and pick the best.


- UDUnify – Dynamic LLM Benchmarks and SSO for Multi-Vendor Deployment2024 · ▲91
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…
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