reasoning benchmark
MedChemBench (Internal) Leaderboard
MedChemBench (Internal) is an internal OpenAI evaluation of medicinal-chemistry reasoning.
Updated Sep 5, 2026
Models3
Model coverage3
MetricScore
EvidenceB
MedChemBench (Internal) Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelOP | Score48.30% | Percentile100.00% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelOP | Score35.00% | Percentile50.00% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelOP | Score30.40% | Percentile0.00% | Participants3 | EvidenceC | Evaluated |
MedChemBench (Internal) Highlights
The leading models and scores on this benchmark.
MedChemBench (Internal) Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MedChemBench (Internal)
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What is MedChemBench (Internal)?
What MedChemBench (Internal) measures and how its scores work.
MedChemBench (Internal) is a benchmark for evaluating medicinal-chemistry reasoning.
It measures whether models can support drug-discovery-relevant chemistry analysis and decision-making, using the Score metric in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MedChemBench (Internal)
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MedChemBench (Internal).
Which model scores highest on MedChemBench (Internal)?
GPT-5.6 Sol is currently ranked first with 48.30%.
What are the top three models on MedChemBench (Internal)?
The current leaders are GPT-5.6 Sol (48.30%), GPT-5.6 Terra (35.00%), and GPT-5.6 Luna (30.40%).
Which MedChemBench (Internal) model has the lowest official input price?
GPT-5.6 Luna has the lowest matched official input price at $0.20 input / $1.2 output per 1M tokens.
Which models are fastest among MedChemBench (Internal) results?
The fastest matched records are GPT-5.6 Terra (99.35 tok/s via OpenAI), GPT-5.6 Luna (41.87 tok/s via OpenAI), and GPT-5.6 Sol (2.36 tok/s via OpenAI).
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.