MultiChallenge
Scale AI benchmark for multi-turn instruction following across instruction retention, inference memory, versioned editing, and self-coherence challenges.
Models ranked
16
tracked on this benchmark
Score band
71.4 – 41.2
best → lowest tracked
Snapshot trend
+15.65
Oct 8 → Oct 19 · 1 models
Leaderboard
Tracked models ranked by % Score (higher is better).
Configuration: Mercury 3 (medium)
Notes: Row 'MultiChallenge': Mercury 3 (MEDIUM) 60.35. Inception launch blog 'Mercury 3 — Benchmark results vs. models in its class' table image (https://framerusercontent.com/images/YO5OXn25zt3KJBJkUxO2kAwmS6o.png, evidence/blog-img-YO5OXn25.png; values transcribed by eye from printed table). Vendor-reported. Retrieved 2026-10-19.
How to read this benchmark
This benchmark scores models where higher is better. Use scores for directional filtering and shortlisting, not universal quality ranking; then validate pricing, context window, provider availability, and fit for your workload.
Trust this score when
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- The model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Be cautious when
- There is only one benchmark snapshot or the dataset appears stale.
- The benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Related benchmarks
Last reviewed: Apr 26, 2026