ENTERPRISE AI ANALYSIS
SUPERChem: A Multimodal Reasoning Benchmark in Chemistry
SUPERChem introduces a rigorous, expert-curated benchmark designed to evaluate advanced chemical reasoning in LLMs and MLLMs, addressing limitations of existing benchmarks through multimodal problem formats and process-level evaluation.
Executive Impact: Elevating Chemical Intelligence
SUPERChem reveals critical insights into the capabilities of advanced AI in chemistry, showcasing both impressive gains and key areas for development.
0
Expert-Curated Problems
0
Human Baseline Accuracy
0
Top Model Accuracy (GPT-5 High)
0
Reasoning Path Fidelity (Top MLLM)
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
Overview & Pipeline
Model Performance
Multimodality
Reasoning Quality (RPF)
Cognitive Strengths & Weaknesses
SUPERChem: A New Standard for Chemical AI
SUPERChem (Scientific Understanding and Process Evaluation of Reasoning in Chemistry) is an expert-curated, reasoning-intensive multimodal benchmark featuring 500 problems designed to evaluate deep chemical reasoning in LLMs and MLLMs. It moves beyond simplified tasks, provides process-level evaluation, and aligns with expert-level chemistry skills.
Enterprise Process Flow
Creator
→
Reviewer
→
Approver
→
Approved Problems
Rigorous Data Curation
An iterative curation pipeline involving domain experts and LLM assistants ensures high quality, mitigates data contamination, and enables granular process-level assessment through expert-authored solution paths and checkpoints.
Stratifying AI Capabilities
SUPERChem effectively stratifies models, overcoming performance saturation seen in simpler benchmarks. The benchmark reveals a clear hierarchy, with top models closely approaching the human baseline.
0
GPT-5 (High) Accuracy
0
Gemini 2.5 Pro Accuracy
0
DeepSeek-V3.1-Think (Text-Only) Accuracy
The Nuanced Role of Visual Information
Evaluation on the Multimodal-Essential Subset (238 problems) reveals that the impact of multimodal inputs is model-dependent, categorizing models into three distinct archetypes:
Multimodal Beneficiaries
Models like Gemini 2.5 Pro significantly improve with visual input (e.g., 4.7% accuracy gain), effectively integrating visual and textual information for better outcomes.
Text-Dominant Models
Models such as GPT-5 (High) show stable performance across modalities, suggesting their text-based reasoning can effectively reconstruct necessary structural and spatial information.
Cognitive Distractors
Older models like GPT-4o exhibit a performance drop with visual input (e.g., 3.8% accuracy drop), indicating that for them, visual data introduces a cognitive load rather than aiding inference.
Beyond Answer Accuracy: Reasoning Path Fidelity (RPF)
RPF quantifies the alignment between a model's generated chain-of-thought and expert-annotated solution paths. It distinguishes genuine chemical understanding from lucky guesses, providing a granular measure of reasoning quality.
59.5%
Highest RPF Score (Gemini 2.5 Pro)
Two Reasoning Archetypes
The RPF analysis identifies two distinct archetypes among frontier models. High-fidelity reasoners like GPT-5 (High) and Gemini 2.5 Pro achieve high accuracy with valid scientific pathways. In contrast, effective heuristic reasoners like DeepSeek-V3.1-Think achieve top-tier accuracy but with lower RPF, indicating unconventional, shortcut-driven cognitive strategies.
Understanding Model Bottlenecks
SUPERChem's fine-grained ability taxonomy and breakpoint analysis reveal that models universally struggle with complex, multi-faceted reasoning in Chemical Reactions & Synthesis (50.2% of checkpoints). Key bottlenecks occur at early, high-stakes stages like Product Structure Prediction, rather than in executing calculations.
0
Chemical Reactions & Synthesis Demands
0
Highest Proficiency (Calculation)
0
Challenging Area (Synthesis)
Calculate Your Potential AI ROI
Estimate the efficiency gains and cost savings for your enterprise by implementing advanced AI solutions.
Annual Cost Savings
$0
Hours Reclaimed Annually
0
Your AI Implementation Roadmap
A phased approach to integrate SUPERChem-driven insights into your enterprise AI strategy.
Phase 1: Discovery & Assessment
Identify current challenges and opportunities using SUPERChem's diagnostic framework. Map existing AI capabilities against the benchmark.
Phase 2: Strategy & Solution Design
Develop a targeted AI strategy based on model strengths and weaknesses revealed by SUPERChem. Design solutions for chemical reasoning tasks.
Phase 3: Development & Integration
Implement and integrate tailored AI models, leveraging best practices for chemical domain reasoning and multimodal processing.
Phase 4: Optimization & Scaling
Continuously monitor model performance using RPF and other metrics. Scale solutions across the enterprise and refine for maximum impact.
Ready to Transform Your Chemical AI Capabilities?
Unlock expert-level chemical intelligence with SUPERChem. Schedule a personalized consultation to see how our insights can drive your enterprise forward.
Ready to Get Started?
Book Your Free Consultation.
Let's Discuss Your AI Strategy!
Lets Discuss Your Needs
Select a Date
Sun
Mon
Tue
Wed
Thu
Fri
Sat