GLP-1 Efficacy — Semaglutide vs Tirzepatide in Trials
- Published:
- Jun 15, 2026
- Updated:
- Jun 14, 2026
- Last reviewed:
- Jun 15, 2026
Research question
How do approved GLP-1 medications compare on mean body-weight reduction in their pivotal trials?
Short answer
Tirzepatide 15mg produced the largest trial-mean weight reduction (−20.9%) vs semaglutide 2.4mg at −14.9% and liraglutide 3.0mg at −7.4%.
Source: FDA Drug Labels
Key findings
- Tirzepatide produced the largest mean body-weight reduction (−20.9%) in head-to-head trials
- Semaglutide remains the most widely prescribed GLP-1 (Wegovy / Ozempic), ~52% manufacturer share
- Outcomes are trial means — individual response varies and medication is one input alongside diet and activity
Download AI-ready context
FreeGet a structured Markdown file with key findings, chart data, sources, caveats, and prompts for AI research. Built for GLP-1 Efficacy — Semaglutide vs Tirzepatide in Trials.
Context file preview
The downloaded Markdown file includes:
- Key findings
- Data table
- Methodology
- Source links
- Suggested AI prompts
# GLP-1 Efficacy — Semaglutide vs Tirzepatide in Trials
## Research Question
## Short Answer
## Key Findings
## Data Table
## How To Use This With AI
## Suggested Prompts
## Sources
## Caveats Data table
| drug | body_weight_reduction_pct |
|---|---|
| Semaglutide 2.4mg (Wegovy) | 14.9 |
| Tirzepatide 15mg (Zepbound) | 20.9 |
| Liraglutide 3.0mg (Saxenda) | 7.4 |
| Placebo (pooled) | 2.4 |
Analysis
In the pivotal STEP (semaglutide) and SURMOUNT (tirzepatide) programmes, the dual GIP/GLP-1 agonist tirzepatide produced larger mean weight reduction than semaglutide at its highest dose, while liraglutide (older single agonist, daily injection) trailed both substantially. Novo Nordisk's ~52% market share reflects semaglutide's earlier launch and broader payer coverage rather than relative efficacy. These are population means from controlled trials; real-world adherence, side effects, and dose titration meaningfully shift individual outcomes.
How to use this with AI
Use this context file to start a research conversation with an AI tool. It includes the key findings, chart data, sources, and caveats so the model starts from structured context instead of a blank prompt.
Use cases
- Brief a benefits team on relative efficacy when designing a GLP-1 coverage policy.
- Inform a payer prior-authorization framework with trial-mean efficacy benchmarks.
- Build a market-sizing analysis tying efficacy to addressable population for obesity drugs.
Suggested prompts
- Using this Deepstory context on GLP-1 trial efficacy, summarize the trade-offs a self-insured employer should consider when adding GLP-1 coverage to a health plan.
- Build a one-page brief comparing the pivotal trial designs of STEP and SURMOUNT to explain why head-to-head comparison should be done carefully.
Sources
- Source quality:
- Primary source
- Last reviewed:
- Jun 15, 2026
-
Wegovy / Zepbound / Saxenda official labelling and efficacy data
-
STEP and SURMOUNT programme records
Caveats
- This is health-information context, not medical advice — clinical decisions require a qualified clinician.
- Values shown are trial population means; individual responses vary significantly and many patients discontinue due to GI side effects.
- Efficacy values: semaglutide and tirzepatide from the brief (STEP / SURMOUNT programmes via ClinicalTrials.gov); liraglutide 3.0mg from the FDA Saxenda label; placebo from pooled trial arms.