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MODELQUEST
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GPT-5.6 Sol · API · Max effort
Evidenceacceptedindependent_lab

AA-Omniscience

Artificial Analysis — AA-Omniscience accuracy (GPT-5.6 Sol max)

ev_2026_07_gpt56sol_aa_omniscience

Result
Configuration

How it was measured

Exact model
gpt-5.6-sol
Reasoning
max
Agent harness
none
Tool access
AA default knowledge probe (not web-search agent)
Prompting
AA Omniscience protocol

PRIMARY WIS signal via AA-Omniscience. Sol max leads accuracy (~59%) but OpenAI models continue to show elevated hallucination vs Claude on this bench; Index is therefore lower than accuracy alone implies. Exact Index not scraped as a single published float on 2026-07-11 — curator maps from accuracy + known hall pattern (GPT-5.5: ~57% acc / ~86% hall) with Sol described as minor Index uplift + slightly higher hall.

Caveats

Known limitations

  • Exact Omniscience Index float not transcribed; normalisedScore is curator judgment.
  • High accuracy with high answer rate can worsen Index vs cautious models.
  • Display accuracy and hallucination narrative, not accuracy alone as "WIS".
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
recency1.00
health0.85
comparability0.80
reliability0.70
Benchmark

AA-Omniscience

Knowledge reliability benchmark that jointly scores accuracy and hallucination / overconfidence. Rewards calibrated abstention rather than pure guess accuracy.

Benchmark source →