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MODELQUEST
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Claude Opus 4.8 · API · High effort (default)
Evidenceacceptedindependent_lab

IFBench

Artificial Analysis — IFBench (Opus 4.8 max)

ev_2026_07_opus48_ifbench

Result
Configuration

How it was measured

Exact model
claude-opus-4-8
Reasoning
max
Agent harness
none
Tool access
none
Prompting
AA IFBench protocol

CHA support — AA IFBench (Opus has a published score; Sonnet was null).

Caveats

Known limitations

  • Precise constraint IF; distinct from Arena preference.
Weighting

Evidence weight factors

The engine weights each evidence row by these factors (0–1) when fusing scores — higher is more trusted.

relevance0.95
quality1.00
recency0.95
health0.90
comparability0.90
reliability0.85
Benchmark

IFBench

Harder verifiable instruction-following constraints designed to test generalization beyond saturated IFEval-style benchmarks.

Benchmark source →