About
UseRightAI helps individuals and teams pick the right AI model for their work. We compare pricing, context windows, benchmark scores, and real-world performance across every major model — and keep that data current automatically.
20+
AI models tracked
70+
Comparison pages
Daily
Pricing updates
Free
Always
The AI model landscape changes faster than any individual can track. New models ship weekly. Prices drop overnight. Capabilities that were flagship features become table stakes within months. UseRightAI exists to cut through that noise — giving you a reliable, up-to-date source of truth for AI model selection without hype, without vendor bias, and without a paywall.
No AI provider pays to appear in our rankings or recommendations. Our data and verdicts are determined by benchmarks, real-world performance, and pricing accuracy — not commercial relationships.
We pull pricing directly from OpenRouter's API every day and compare it against our database. When prices change, our pages update automatically — no manual editing required.
When a major AI lab releases a new model, our pipeline detects it, generates a full comparison entry using AI, and publishes it — usually within 24 hours of the model appearing on OpenRouter.
Every verdict is based on publicly available benchmark data (SWE-bench, MMLU, ARC-AGI-2), official pricing pages, and context window specs. We cite our sources and update them when vendors publish new numbers.
Pages are pre-rendered and cached at the edge on Vercel. We don't use cookies or tracking beyond anonymised analytics. The site loads fast regardless of where you are.
Most AI comparison sites are either too technical or too superficial. UseRightAI is written for developers, business users, students, and anyone who wants a clear answer — not more jargon.
Pricing — API pricing is fetched daily from OpenRouter's public API, which aggregates real-time pricing from OpenAI, Anthropic, Google, xAI, Meta, Mistral, DeepSeek, and other providers. We display standard (non-batch) per-token pricing converted to per-million-token rates for easy comparison.
Benchmarks — We use publicly published benchmark results: SWE-bench (coding), MMLU (general knowledge), ARC-AGI-2 (reasoning), and HumanEval (code generation). All benchmark data is sourced from official provider announcements or third-party leaderboards such as LMSYS Chatbot Arena.
Context windows and capabilities — Sourced from each provider's official documentation and API specifications. We verify against OpenRouter metadata and update when discrepancies are found.
Editorial verdicts — Written by humans, reviewed for accuracy, and updated when models receive significant capability upgrades. Auto-generated entries (for newly detected models) are clearly marked and reviewed periodically.
Found an error in our pricing data? Have a model we should be covering? Want to report a bug or suggest a feature?
hello@userightai.com