GPQA Diamond Benchmark
Full 198-question evaluation on PhD-level science questions
The Core Insight
The Svarix Intelligence OS orchestrates multiple AI models through a proprietary pipeline of domain-adaptive analysis, structured debate, and evidence-based synthesis. Rather than relying on a single model's answer, the system identifies and selects the strongest reasoning chain across diverse analytical perspectives.
The result: 85.9% accuracy exceeding GPT-5.3's published 81.0% at a fraction of the cost. The 7.3:1 SAVE:HURT ratio means for every error the pipeline introduces, it rescues over 7 correct answers that a single model would miss.
GPQA Diamond Leaderboard
198 QuestionsGraduate-level science questions in Physics, Chemistry, and Biology — designed to be answerable only by domain experts. Even PhD holders outside their specialty score below 35%.
Per-Domain Accuracy
Biology: +36.8 percentage points — the pipeline nearly doubles accuracy from 42% to 79%. Chemistry saw the largest v2 improvement at +23.7pp. Physics reaches 95.3% — within striking distance of frontier models.
Head-to-Head: Pipeline vs Single Model
The pipeline's 7.3:1 SAVE:HURT ratio means it almost never makes things worse. For every error introduced, it rescues over 7 answers that a single model would get wrong.
This isn't luck — it's the result of proprietary orchestration that identifies the strongest reasoning chain even when it comes from a minority perspective.
Simple majority vote: 65.2%. Svarix Pipeline: 85.9%. Delta: +20.7pp.
Naive aggregation fails because it treats all models equally. The Svarix pipeline evaluates reasoning quality, not just answer frequency — a fundamentally different approach.
How It Works
Multi-Model Analysis
Multiple AI models with diverse training data independently analyze the problem, each bringing different strengths and perspectives.
Structured Deliberation
A proprietary debate-and-reflection process challenges weak reasoning and surfaces the strongest arguments through adversarial verification.
Intelligent Synthesis
Domain-adaptive synthesis reconstructs the answer from the combined evidence — identifying correct reasoning even when it comes from a minority analyst.
The pipeline uses 4 models from different providers — ensuring diversity of training data, reasoning patterns, and failure modes. No single-vendor dependency. Full audit trail at every step for regulated industries.
Cost Efficiency
The Svarix pipeline achieves frontier-competitive accuracy using only mid-tier and budget models. No access to premium APIs (Opus, Gemini Pro) is required. As individual models improve, the pipeline benefits automatically without architectural changes.
Enterprise Use Cases
Multi-perspective regulatory analysis with adversarial challenge and full audit trail.
Differential diagnosis support with cross-model verification from diverse architectures.
Complex research synthesis with fact-checking, source verification, and adversarial challenge.
PhD-level tutoring and hypothesis evaluation at scale — nearly 2x accuracy on Biology questions.
Strategic analysis with transparent reasoning chains visible at every pipeline step.
Methodology
Dataset: All 198 questions from the official GPQA Diamond dataset (Idavidrein/gpqa on HuggingFace). Answer positions randomized with seed=42 for reproducibility. Distribution: 86 Physics, 93 Chemistry, 19 Biology.
Baseline: Each question answered by a single mid-tier model call with standardized prompting. This establishes what one model can do alone.
Pipeline: The same question run through our full multi-step pipeline with multiple analysts from different providers, structured debate, convergence analysis, and adversarial verification.
Scoring: Exact match against official correct answer. A “pipeline save” is when the single model got it wrong but the pipeline got it right. A “pipeline hurt” is the reverse.
Full Technical Paper
Detailed analysis including per-model breakdowns, emergence classification, pipeline architecture, and cost-performance comparison against published frontier scores. Available to qualified enterprises and research partners.
Request AccessTry the Intelligence OS
The same pipeline that achieves these results is available for your questions.
No vendor lock-in. Full audit trail. Multi-provider redundancy. Improves automatically as models improve.