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

How smart is GPT-4 (Jun 2023)?

57 SI-IQ · 90% interval 51–63
Not ranked: too little data

GPT-4 (Jun 2023) is a model from OpenAI, released on Jun 13, 2023. Its SI-IQ is 57 (90% interval 51–63), estimated from 4 benchmark results by 1 independent evaluators.

This model has fewer than 5 independent benchmark results or fewer than 2 different evaluators, so it is shown but not ranked.

Facts

Developer: OpenAI
Released: Jun 13, 2023
Access: API access
Benchmarks used: 4 results from 1 evaluators
API price: $30 input / $60 output per 1M tokens (developer's price list, Oct 18, 2026)
Context window: 8,192 tokens

Ability by area (SI-IQ, 90% interval)

Every benchmark result we used

Each score is one value exactly as the source published it: for Epoch AI the best of its run settings, for OpenRouter the median hosting provider (the developer's own hosting when it ran the test). “Implied SI-IQ” is the ability that this single result points to; the overall SI-IQ is their precision-weighted average.

Benchmark	Area	Score	Implied SI-IQ	Evaluated by	As listed by the source	Retrieved	Source
Mystery Game Puzzles	Reasoning	12.0%	96	Epoch AI	`gpt-4-0613`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
MATH Level 5	Math	23.0%	55	Epoch AI	`gpt-4-0613`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
OTIS Mock AIME 2024–2025	Math	1.1%	51	Epoch AI	`gpt-4-0613`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file
GPQA Diamond	Knowledge	30.7%	37	Epoch AI	`gpt-4-0613`	Oct 18, 2026	Epoch AI Benchmarking Hub · data file

Human preference (Arena)

On the Arena leaderboard, where people vote between two anonymous answers, GPT-4 (Jun 2023) has a rating of 1,276 (1,272–1,280) from 88,723 votes (published Oct 15, 2026). Human preference is a different measure from benchmark ability and is not part of SI-IQ. Arena (Hugging Face)

Computed with SI-IQ method version 1.0.0. Read the full methodology

Data sources: Arena leaderboard dataset on Hugging Face (CC BY 4.0); 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.