artificial-analysis

What problem does it solve?

It solves the problem of choosing between competing LLMs and media models when vendor marketing and outdated training-data recall don’t reflect current performance.

Core Features & Use Cases

• Head-to-head model comparisons: Produces a short ranked set of 3–5 models for a given metric (coding, math, intelligence, speed/TTFT, or blended $/1M tokens).
• Live benchmark sourcing with caching: Pulls results from artificialanalysis.ai and caches each endpoint for 1 hour to keep repeated queries fast.
• Media model Elo lookups: Returns Elo ratings for text-to-image, image-editing, text-to-speech, text-to-video, and image-to-video leaderboards.
• Use case: If you’re evaluating which model to integrate for coding, you can compare contenders on coding and speed and decide based on the specific tradeoffs and price.

Quick Start

Ask: "Compare Opus 4.7 and GPT-5.5 on coding and latency and tell me the cheapest option among the top 3 right now."