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.
Controls:
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
EQ-Bench 3AttuneBenchARC PrizeEpoch AI FrontierMathVals.aiArtificial AnalysisMathArenaManual source capturevals-model-pageArtificial Analysis model leaderboardVals.ai IOIArtificial Analysis Terminal-Bench v2.1Vals.ai Terminal-Bench 2.1Vals.ai ProgramBenchFrontierSWESWE-rebenchLLM StatsOSWorldLLM Stats OSWorld-VerifiedToolathlonLLM Stats ToolathlonScale LabsScale Labs MCP AtlasArena.ai Agent ArenaAgents' Last ExamEpoch AI SimpleQA VerifiedBullshitBench v2Scale Labs MultiChallengeKaggle 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 +24 moreOpen chartCoreEstimated IQ's of AI ModelsEach model's composite AI IQ estimate, ranked highest to lowest. Defaults to current-generation models. Color = provider.Data: ARC Prize, Epoch AI FrontierMath, Vals.ai +35 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 +24 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 chart