ISPOR Europe 2026 · HTA86 Read the companion research post: How we generate dossiers, why naive LLM judges fail, and detailed results →

HTA-Bench Leaderboard

Evaluating end-to-end regulatory and HTA dossier generation across 8 authority-accepted G-BA AMNOG and ICH CTD dossiers (118,000+ words, 175 statutory tables), calibrated against 180 blinded ratings by 17 HTA experts.

Benchmark Corpus
8 Dossiers
AMNOG Modules 1–3 & ICH CTD 2.3.S
Reference Scale
118k+ Words
175 statutory tables (135 dynamic)
Human Calibration
180 Ratings
17 blinded HTA specialists · 2.2–2.6 pp error
Top System Score
75.7 / 100
Regulaido Engine · Argon Med (77.0 task-optimal)

Agent Harness & Frontier Model Leaderboard

Updated continuously as benchmark coverage, engines, and models advance · Current release: v2.3 / Reference Audit v1.2.1

Agent Harness Comparison (N=8 Dossiers)

Backbone LLM fixed at Gemini 3.8 Flash · Reference Audit (0–100), statutory table population (135 dynamic tables), verified hallucinations per dossier, and mean Standard-Tier API cost

Harness (Flash)ScoreTablesHallu.Cost
Regulaido Engine (Slow) (Flash)72.7100%5.0$3.56
Regulaido Agent (Flash)67.296%7.0$2.71
Regulaido Engine (Fast) (Flash)66.4100%6.8$0.52
Claude Code (Flash)66.076%8.5$3.90
OpenHands (Flash)62.072%11.8$4.35

General-purpose coding CLIs skip 24%–28% of required statutory Word tables (97/135 to 103/135) and emit un-linked plain-text [n] markers without page/chunk provenance.

Cost–Quality Pareto Frontiers (N=8 Dossiers)

Agent harnesses compared on Gemini 3.8 Flash (Score 55–85 vs. USD Cost)

Regulaido HarnessesGeneral Coding CLIsAll Harnesses: Gemini 3.8 Flash (8 Cases)55606570758085$0$1$2$3$4$5$6$7Mean Standard-Tier Cost per Dossier Across 8 Cases (USD)Regulaido Engine (Fast) · Score: 66.4 / 100 · Cost: $0.52 · Tables: 100%Regulaido Engine (Fast)Regulaido Agent · Score: 67.2 / 100 · Cost: $2.71 · Tables: 96%Regulaido AgentRegulaido Engine (Slow) · Score: 72.7 / 100 · Cost: $3.56 · Tables: 100%Regulaido Engine (Slow)OpenHands · Score: 62.0 / 100 · Cost: $4.35 · Tables: 72% (97/135)OpenHandsClaude Code · Score: 66.0 / 100 · Cost: $3.90 · Tables: 76% (103/135)Claude Code

With Gemini 4 Argon (Med), Regulaido Engine reaches 75.7 / 100 ($4.50, 100% tables, 3.8 hallucinations). Gemini 3.8 Flash (High) reaches 72.7 / 100 ($3.56), outperforming Claude Opus 5.5 High (71.6 at $6.80) and GPT-6 Astra High (63.2 at $3.32).

Performance by Dossier Module (N=8 Dossiers)

Best-in-class frontier model inside Regulaido Engine compared with single-model Gemini 3.8 Flash baselines

Dossier SuiteBest Model in RegulaidoRegulaido (Best)Regulaido (Flash)Claude Code (Flash)Tables (Reg. vs. CLI)
AMNOG Module 2 — Indication, Therapeutic Need & MoA
2 dossiers · 10 statutory tables
Gemini 3.8 Flash89.989.481.0100% vs. 90%
ICH CTD 2.3.S — CMC Quality Overall Summary
1 dossier · 33 statutory tables · 85 CMC PDFs
Gemini 4 Argon (Med)86.678.171.6100% vs. 85%
AMNOG Module 1 — Executive Clinical Synthesis
2 dossiers · 26 statutory tables
Gemini 4 Argon78.474.269.5100% vs. 85%
AMNOG Module 3 — Target Population Epidemiology & GKV Costs
3 dossiers · 106 statutory tables
Gemini 4 Argon / Opus 5.564.458.651.9100% vs. 71%
All 8 Dossiers — Full Benchmark Mean
8 dossiers · 118,000+ words · 175 statutory tables
Argon Med (75.7) / Task-Optimal (77.0)77.072.766.0100% vs. 76%

Additional Published Campaign Snapshots

AMNOG Modul 1 generation

Updated

Non-inferiority
70%
Regulaido
Win rate
50%
Holistic
—
Evidence
2 runs
2 dossiers

AMNOG Modul 2 generation

Updated

Non-inferiority
70%
Regulaido
Win rate
50%
Holistic
—
Evidence
2 runs
2 dossiers

AMNOG Modul 3 generation

Updated

Non-inferiority
70%
Regulaido
Win rate
50%
Holistic
—
Evidence
2 runs
2 dossiers

Methodology & Judge Calibration

Key evaluation specifications · For the full methodology narrative, see our research post →

Human Expert vs. Judge Acceptance (N=180 Blinded Ratings)

Blinded acceptance rate (AI win or tie vs. accepted G-BA human dossier) across 17 HTA specialists, our calibrated 3-family judge panel + PPI, and an uncalibrated single LLM judge

17 HTA Experts Calibrated Judge Single LLM Judge
Clinical & Epi Synthesis Substantive prose · n = 103
Experts: 45% Calibrated: 42% Single Judge: 72%
17 HTA Experts
Calibrated Judge
Single Judge

Substantive CSR & epidemiology synthesis (49% human acceptance in Module 1).

Verbatim SmPC Copy 1:1 regulatory quotes · n = 42
Experts: 17% Calibrated: 11% Single Judge: 78%
17 HTA Experts
Calibrated Judge
Single Judge

G-BA convention requires verbatim 1:1 quotes from the Fachinformation; single judges rewarded paraphrased essays.

G-BA Search Logs Statutory checklists · n = 35
Experts: 11% Calibrated: 14% Single Judge: 96%
17 HTA Experts
Calibrated Judge
Single Judge

Two-sentence statutory declaration ("2 Sätze reichen!"); single judges exhibited a +84.1 pp verbosity bias.

(01) Corpus & Hermetic Inputs
8 complete authority-accepted G-BA AMNOG (Modules 1–3) and ICH CTD 2.3.S dossiers (118,000+ words, 175 statutory tables). All systems receive the identical blank .docx template and hermetic source PDFs with web search disabled.
(02) Stage 1: Section Audit (0–80 pts)
Evaluates each section against both the accepted human dossier and primary source PDFs across factual & numerical precision (40), regulatory & methodological compliance (25), analytical completeness & table population (20), and G-BA style register (15).
(03) Stage 2: Whole-Document Audit (0–20 pts)
Scores cross-section numerical and subpopulation consistency (8), structural/XML/table hygiene (6), and inline citation-to-bibliography resolution (6).
(04) Calibration & Synthetic Anchors
Calibrated via a 3-family judge panel (Gemini, GPT, Claude) + Prediction-Powered Inference (PPI) against 180 blinded ratings by 17 HTA experts (within 2.2–2.6 pp). Anchored at 0.0 (empty template), 98.5 (human gold), 94.9 (paraphrased ceiling), and 97.9% recall across 47 planted error traps.