The LLM Challenge
Measuring the quality corridor that matters to end users
The LLM Challenge launched on September 7, 2024 with 6 votes, #2,184 of 5,281 launches that month.
What it does
With more and more LLMs, and a diverse set of benchmarks it's really hard for developers, engineers and decision makers to make sense of evaluating LLMs for their use cases. The LLM challenge tries to measure the metric that matters: were end users satisfied?
Does a similar job
all alternatives →- OSOpen-source study to measure end user satisfaction levels with LLMs2024 · open-llm-initiative.com · ▲12
The LLM challenge - an online study - aims to answer a simple question: what is the quality corridor that matters to end users when interacting with LLMs? At what point do users stop seeing a quality difference and at what point do users get frustrated by poor LLM quality. The project is an Apache 2.0 licensed open source project available on Github: https://github.com/open-llm-initiative/llm-challenge. And the challenge is hosted on AWS as a single-page web app, where users see greeting text, followed by a randomly selected prompt and a LLM response, which they must rate…
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,…
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