AI Olympiad
AI Olympiad is a browser-based, installable web app (PWA) that lets users send prompts to multiple frontier large language models and compare the answers side by side in a single view. The homepage states that supported providers include OpenAI, Anthropic, Google, DeepSeek, Grok, and Mistral, with responses framed as an "arena" where models effectively compete head to head. The product is marketed around a bring-your-own-key (BYOK) approach, meaning users supply their own provider API credentials instead of paying the app for inference. The interface is positioned as a comparison and evaluation workspace: the same prompt can be submitted to several models at once, outputs are shown next to each other, and built-in judging concepts described on the site as a "Coach" and a "Podium" are used to rank or highlight results. AI Olympiad is offered as a paid product with tiered plans and a free Pro trial promoted on the homepage. Because it is delivered as a progressive web app, it runs in modern browsers and can be installed to a device home screen without a traditional desktop installer. Beyond the marketing pages describing plans, events, and the comparison flow, the homepage provides limited public technical documentation, and no public GitHub repository was available at the time of this summary. As a result, implementation details such as exact supported model versions, rate limits, and data handling practices are not documented in this metadata.
- Category
- Code
- Pricing
- Paid
Problem solved
Evaluating and comparing frontier LLMs usually means juggling separate provider accounts, chat interfaces, and pricing pages. AI Olympiad addresses this by letting users send one prompt to multiple models (OpenAI, Anthropic, Google, DeepSeek, Grok, Mistral) from a single interface and review the outputs side by side using their own API keys, so users can judge quality, tone, and cost trade-offs in one place rather than across scattered browser tabs.
Use cases
- Prompt A/B testing across multiple LLM providers
- Benchmarking model outputs for a specific task before committing to a provider
- Comparing tone, accuracy, and formatting of model responses side by side
- Running quick in-house model evaluations with personal API keys
- Drafting content and selecting the strongest model output
- Demonstrating differences between models to stakeholders or clients
Audience
- Developers
- ML Engineers
- Product Managers
- Business Users
- Researchers
Pros
- Single interface for comparing several major LLM providers side by side
- BYOK approach lets users keep control of their own API usage and costs
- Installable PWA accessible from a browser without desktop installers
- Judging and ranking concepts (Coach, Podium) help organize comparison results
- Free Pro trial advertised for evaluation
Cons
- No public GitHub repository or detailed technical documentation available
- Requires users to already have and pay for their own provider API keys
- Paid product with the full feature set behind subscription plans
- Supported model versions, rate limits, and data handling are not clearly documented publicly
- Little independent benchmarking or third-party review content available
Official website: https://www.aiolympiadpro.com/
Canonical LambdaBase page: https://www.lambdabase.com/tools/ai-olympiad