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Agent Arena

A bird's-eye view of the benchmark: what it measures and every AI IQ chart built on it.

About Agent Arena

Arena.ai Agent Arena measures aggregate net improvement across real-world Agent Mode sessions. The efficiency view connects source-matched reasoning configurations using median cost per session from the methodology window.

Agent Arena Cost Efficiency
Agent Arena Cost Efficiency
Source-matched Agent Arena Net Improvement and median session-cost configurations from the methodology window. Each line is one canonical model. Color = provider.

How to read this chart

Each line uses the shared model-configuration dataset to compare source-matched reasoning-effort levels on Agent Arena. Every point shows the score and median cost per session for that exact configuration. Canonical score bars and bell curves remain one point per model.

Data sources
Arena.ai Agent Arena
Arena.ai Agent Arena Scores
Arena.ai Agent Arena Scores
Aggregate net improvement across real-world Agent Mode sessions. Color = provider.

How to read this chart

Bars rank models by the source-backed benchmark value used for this chart. Longer bars indicate higher published scores.

Data sources
Arena.ai Agent Arena
Agent Arena vs Effective Cost
Agent Arena vs Effective Cost
X = effective cost (log). Y = Agent Arena Net Improvement. Color = provider.
Controls:
Agent Arena1:1Cost

How to read this chart

Each point is a public model. The chart compares Net Improvement against Effective Cost (per 1M I/O Tokens), with color showing the model provider.

Data sources
Artificial AnalysisARC PrizeVals.aiArena.ai Agent Arena

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