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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:
IQ1:1EQ

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 4 EloEQ-Bench 3AttuneBenchARC PrizeEpoch AIEpoch AIEpoch AI FrontierMathProofBench 1.1MathArenaVals.aiArtificial AnalysisArtificial Analysis Intelligence Index v4.3.2Manual source captureTIGER-Lab MMLU-Pro leaderboard (missing rows only)Vals.ai LiveCodeBenchVals.ai IOI V2Vals.ai ProgramBenchSWE-rebenchEpoch AILLM StatsLLM Stats BrowseCompOSWorldLLM Stats OSWorld-VerifiedScale LabsScale Labs MCP AtlasArena.ai Agent ArenaAgents' Last ExamEpoch AI SimpleQA VerifiedBullshitBench v2Kaggle FACTS Grounding leaderboardArtificial AnalysisArtificial Analysis
CoreIQ Bell CurveEach model's estimated IQ, placed on a standard normal IQ distribution.Data: ARC Prize, Epoch AI, Epoch AI +26 moreOpen chartCoreIQ RankingsEach model's estimated IQ, ranked highest to lowest. Defaults to current-generation models.Data: ARC Prize, Epoch AI, Epoch AI +34 moreOpen chartCoreIQ Over TimeEach model's estimated IQ by release date. Step-lines connect each provider's flagship models over time.Data: ARC Prize, Epoch AI, Epoch AI +26 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 Index v2 Cost per Test +1 moreOpen 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 their developer.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