Help & Support
Frequently Asked Questions
How we compare AI models, where the data comes from, and what quality scores, benchmarks, and pricing metrics mean.
What is FindLLM?
FindLLM is a free, independent aggregator for comparing Large Language Models (LLMs) by quality, speed, and price. It covers every major model family plus open-source rankings, AI agent analytics, task-specific leaderboards, and a cost calculator.
How does FindLLM get its data?
Data comes from public third-party sources and is surfaced in one place. See the About page for the full list of sources.
What is the Quality Index?
The Quality Index is a composite score (0–100) that reflects a model's performance across multiple benchmarks including MMLU, HumanEval, MATH, GPQA, and others. Higher is better. It's the most holistic single measure of a model's capability.
What is blended price?
Blended price is the average cost per million tokens, weighting both input and output token prices. The typical weighting we use is 3:1 input-to-output, which reflects common real-world usage patterns. This gives you a single, comparable price point across models.
What is the AI Agents Hub?
The AI Agents Hub tracks real-time usage data for popular AI agents like Claude Code, Cline, Kilo Code, and OpenClaw. You can see which LLM models each agent uses, monthly token consumption, trending growth, and compare agents across categories like coding, productivity, and creative tools.
How does the Open Source section work?
Our Open Source hub ranks open-weight LLMs by efficiency (quality per parameter), tracks public download and trending signals, and provides hardware-tier recommendations so you can find the best model for your GPU. We cover consumer (0–14B), prosumer (14–72B), and datacenter (72B+) tiers.
What is the Agentic leaderboard?
The Agentic leaderboard ranks models by their average coding and general quality scores — the two capabilities most critical for AI agent use cases. This helps you pick the best foundation model for building autonomous agents, coding assistants, and tool-using AI systems.
How do I choose the right LLM for my project?
Start with the LLM Selector tool — answer a few questions about your use case (coding, chat, analysis) and budget, and we'll rank models for you. Or use the Explore page to compare models on a scatter plot of quality vs. price. For specific tasks, check the relevant Leaderboard.
Is FindLLM free?
Yes, completely free. No account required, no paywalls. Our goal is to make LLM comparison accessible to everyone.
How often is the data updated?
Data on FindLLM stays current with the underlying sources. Pricing and model metadata change most frequently; benchmark scores update as new evaluations are published.
What benchmarks does FindLLM track?
We track the main benchmark families, including MMLU, HumanEval, MATH, GPQA, MT-Bench, and others. Each model's benchmark breakdown is visible on its detail page. We also track output speed (tokens per second) and time-to-first-token latency.
Still have questions?
Check out the Methodology page for a deep dive into how benchmarks and metrics are calculated, or visit the About page to learn more about FindLLM.
Disclaimer
FindLLM provides information for educational and comparison purposes only. Benchmark scores, pricing, and performance metrics are sourced from third-party providers and may change without notice. We strive for accuracy but cannot guarantee that all data is current or error-free. Model performance in production may differ from benchmark results. FindLLM is not affiliated with any AI model provider. Always verify critical information directly with providers before making purchasing decisions.