model comparison

AI image and video generation studio for creating, editing, and exporting visuals from prompts, with support for multiple models and reusable creative workflows.

ContextIQ is a suite of AI engineering tools for inspecting context, agent workflows, protocol support, and payment or identity checks for AI systems. It includes inspectors for MCP/A2A/ARD, RAG chunking, traces, memory architecture, OIDC, DNS, x402, and ERC-8004.

A web tool that compares how many AI tasks different models can buy per hour of work across countries, using wage and benchmark-cost data.

A public leaderboard comparing how different language models solve Redactle under several evaluation setups, with cost, speed, and solve-rate data.

A web tool that estimates when a local LLM machine pays for itself versus using an API. It compares hardware options, model fit, speed, and break-even usage, with notes on assumptions and methodology.

A research page comparing 153 autonomous runs across 18 frontier models on the nanoGPT optimizer speedrun, with rankings, trajectories, token/compute stats, and equal-budget comparisons.

Model Salt is a web tool for rerunning the same prompt across multiple runs to surface varied LLM outputs by adding external randomness. The page shows example prompts, side-by-side generations from several models, and a simple workflow for exploring answer diversity.

TokenScale is a browser-based AI API pricing explorer that compares 16 providers, converts token costs into familiar real-world examples, and shows how batch, cache, and conversation length affect spend.