AA Long Chain Reasoning

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

About AA Long Chain Reasoning

AA Long Chain Reasoning has source-backed multi-effort configurations. The Cost Efficiency chart expands only those configurations; the score bar remains one canonical row per model.

AA Long Chain Reasoning Cost Efficiency
Source-matched reasoning-effort score and task-cost configurations. 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 AA Long Chain Reasoning. Every point shows the score and AA cost per task for that exact configuration. Canonical score bars and bell curves remain one point per model.

AA Long Chain Reasoning Scores
Artificial Analysis Long Chain Reasoning scores for long-document extraction, synthesis, and reasoning. 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.

AA Long Chain Reasoning vs Effective Cost
X = effective cost (log). Y = AA Long Chain Reasoning %. Color = provider.
Controls:
AA Long Chain Reasoning1:1Cost

How to read this chart

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