Automated page. Written and translated automatically by AI and checked against the sources by software; no human editor. SI-IQ is an index built from public benchmark results, not an IQ test. How it works

Leaderboard

Ranked models have results from at least five benchmarks (the two GPQA Diamond runs count as one) in at least three areas, from at least two different evaluators. Intervals show the statistical uncertainty of each estimate; models whose intervals overlap may not really differ. Arena is a human-preference rating from crowd votes, shown for reference; it is not part of SI-IQ. See 170 more models with too little data

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How SI-IQ works, in four steps

1. We collect results from 13 public benchmarks run by independent evaluators (not the model makers themselves).
2. Each score is converted to a common scale that accounts for guessing and for how hard the benchmark is.
3. A simple statistical model puts all models and benchmarks on one ability scale, so a model that was tested on fewer or harder benchmarks is still comparable.
4. The scale is set so that a fixed reference group of AI models released in 2025 averages 100 with a standard deviation of 15 points — the same convention IQ scores use.

Read the full methodology · Download the data

Data sources: Aider polyglot leaderboard data (Apache-2.0); Arena leaderboard dataset on Hugging Face (CC BY 4.0); Berkeley Function Calling Leaderboard, Gorilla project (Apache-2.0); Epoch AI, ‘Capabilities & benchmarking’ (CC BY 4.0); API list prices via LiteLLM's price table (MIT); each price links to the developer's pricing page; Source: OpenRouter (openrouter.ai), licensed under CC BY 4.0.