MultiChallenge
A bird's-eye view of the benchmark: what it measures and every AI IQ chart built on it.
About MultiChallenge
MultiChallenge evaluates multi-turn instruction retention, inference memory, editing, and self-coherence. The efficiency view compares source-backed scores with effective cost and connects explicit reasoning/nonreasoning siblings where available.
How to read this chart
This chart compares source-backed MultiChallenge configurations with runtime effective cost. Multiple reasoning levels for the same model are connected; models with one available level remain standalone points. Up and to the left is better.
How to read this chart
Bars rank models by the source-backed benchmark value used for this chart. Longer bars indicate higher published scores.
How to read this chart
Each point is a public model. The chart compares MultiChallenge score against Effective Cost (per 1M I/O Tokens), with color showing the model provider.