IQ vs EQ
X = diagnostic EQ. Y = IQ. Color = model provider.
IQ vs EQ
IQ vs EQ
X = diagnostic EQ. Y = IQ. Color = model provider.
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How to read this chart
Each point is a public model. The chart compares IQ against EQ, with color showing the model provider.
Data sources
Arena.aiEQ-Bench 3AttuneBenchARC PrizeEpoch AI FrontierMathVals.aiArtificial AnalysisMathArenaArena.ai WebDevDesignArena FrontendDesignArena Full StackVals.ai Vibe Code BenchVals.ai Vibe Code Bench v1.1LLM StatsScale LabsScale Labs SWE-Bench Pro Public DatasetDeepSWE v1.1DeepSWESWE MarathonMercor APEX-SWECognition FrontierCodeSWE-rebenchArtificial Analysis Terminal-Bench v2.1Vals.ai Terminal-Bench 2.1OSWorldanthropic-system-cardToolathlonScale LabsAgents' Last ExamBullshitBench v2Kaggle FACTS Grounding leaderboard
CoreAI Models on the IQ Bell CurveEach model's estimated IQ plotted on a standard normal IQ distributionData: ARC Prize, Epoch AI FrontierMath, Vals.ai +25 moreOpen chartCoreFrontier IQ Over TimeX = release date. Y = estimated IQ. Provider step-lines connect each provider's flagship frontier checkpoints over time.Data: ARC Prize, Epoch AI FrontierMath, Vals.ai +25 moreOpen chartCoreIQ vs EQ vs Cost in 3D3D scatter: X = diagnostic EQ, Y = IQ, Z = effective cost (log). Color = provider. Drag to rotate.Data: Artificial Analysis, ARC Prize, Vals.aiOpen chartCoreAI Models by Country Over TimeEach bar counts the AI models AI IQ tracks that had been released by that month, stacked by the country of the company that trained them.Data: AI IQ datasetOpen chartCoreAI Model Share by Country Over TimeThe national origin of tracked AI models as a share of the total — each month normalized to 100%, so the changing balance between countries is easy to read.Data: AI IQ datasetOpen chartCostIQ vs Effective CostEach model's estimated IQ plotted against effective cost per 1M I/O Tokens (sticker price × measured or imputed usage multiplier).Data: AI IQ methodologyOpen chart