Galactic AI captures the biology GPT-5 misses
In a controlled benchmark, across four established drug targets, Galactic AI v3 captured up to 185x more biological relationships than GPT-5
Use Case
Model Benchmark: GPT-5 vs. Galactic AI v3
Strategic Goal
Assess biological relationship coverage and consistency across a general-purpose LLM and a domain-specific model
Drug Targets
EGFR, PCSK9, GLP1R, SCN10A
Up to 185x
more biological relationships captured with Galactic AI v3 vs GPT-5
13,667
EGFR relationships captured by Galactic AI v3 that GPT-5 missed entirely
71%
of GPT-5's identified entities failed to reproduce across three repeat queries
Galactic AI v3 Found Biological Relationships GPT-5 Never Surfaced
A controlled, side-by-side benchmark reveals how much biology a general-purpose model actually misses.
The Challenge
The Solution
The Results
See what your model might be missing
Book a demo to compare general-purpose AI output with Galactic AI’s structured, evidence-backed view of target biology.