SnorkelManufacturing
Agents make engineering, production, quality, supplier and safety decisions in a simulated discrete-parts plant across 200 tasks, a third of them CAD tasks.
Answer, state, safety, process and efficiency are scored separately.
- Made by
- Snorkel AI
- Released
- October 2026
- Kind
- Other professions
- Level
- Expert
- Scored
- Graded by a model
- Answers
- Agent task
- Tasks
- Kept private
- Strongest model tested
- GPT-6 Astra #3 on the capability index
- Last model added
- October 2026
- Scores refreshed
- November 12th, 2026
Muse Wonder leads with 27.8%
Best score per model from the benchmark's own leaderboard, read on November 12th, 2026. Where a model ran with several settings or harnesses, we keep its best. Every run is in the next chart.
- 1
Muse Wonder 27.8%
- 2 GPT-6.1 Sol 19.6%
- 3
Gemini 4 Argon 19.5%
- 4 Grok 4.6 16.4%
- 5 Grok 4.7 12.1%
- 6 GLM-5.3 11.9%
- 7 Claude Fable 5.1 11.3%
- 8
Muse Spark 1.3 10.5%
- 9 Claude Opus 5.5 10.4%
- 10 Kimi K3 10.2%
- 11 GPT-6 Astra 10%
- 12 Claude Opus 5 9.40%
- 13
Qwen 3.8 Max 8.30%
- 14
DeepSeek-V4-Pro 8.10%
- 15
Gemini 3.8 Flash 7.10%
- 16
Nemotron 3 Ultra 5.40%
Source: Official SnorkelManufacturing leaderboard
| # | Model | Score | Setting | Date | Source |
|---|---|---|---|---|---|
| 1 | | 27.8% | Oct 2026 | Official leaderboard | |
| 2 | GPT-6.1 Sol | 19.6% | Sep 2026 | Official leaderboard | |
| 3 | | 19.5% | Sep 2026 | Official leaderboard | |
| 4 | Grok 4.6 | 16.4% | Aug 2026 | Official leaderboard | |
| 5 | Grok 4.7 | 12.1% | Sep 2026 | Official leaderboard | |
| 6 | GLM-5.3 | 11.9% | Aug 2026 | Official leaderboard | |
| 7 | Claude Fable 5.1 | 11.3% | Sep 2026 | Official leaderboard | |
| 8 | | 10.5% | Sep 2026 | Official leaderboard | |
| 9 | Claude Opus 5.5 | 10.4% | Sep 2026 | Official leaderboard | |
| 10 | Kimi K3 | 10.2% | Jul 2026 | Official leaderboard | |
| 11 | GPT-6 Astra | 10% | Sep 2026 | Official leaderboard | |
| 12 | Claude Opus 5 | 9.40% | Jul 2026 | Official leaderboard | |
| 13 | | 8.30% | Aug 2026 | Official leaderboard | |
| 14 | | 8.10% | Apr 2026 | Official leaderboard | |
| 15 | | 7.10% | Sep 2026 | Official leaderboard | |
| 16 | | 5.40% | Jun 2026 | Official leaderboard |
Pass@1 vs. cost per trial
The line joins the runs that no other run beats on both measures. We redrew this chart from the numbers on the official leaderboard.
| Model | Setting | Pass@1 | Cost per trial |
|---|---|---|---|
| | 27.8% | $7.15 | |
| GPT-6.1 Sol | 19.6% | $0.25 | |
| | 19.5% | $4.28 | |
| Grok 4.6 | 16.4% | $1.98 | |
| Grok 4.7 | 12.1% | $2.26 | |
| GLM-5.3 | 11.9% | $0.92 | |
| Claude Fable 5.1 | 11.3% | $5.89 | |
| | 10.5% | $1.09 | |
| Claude Opus 5.5 | 10.4% | $2.62 | |
| Kimi K3 | 10.2% | $2.62 | |
| GPT-6 Astra | 10% | $7.39 | |
| Claude Opus 5 | 9.4% | $3.12 | |
| | 8.3% | $2.23 | |
| | 8.1% | $1.08 | |
| | 7.1% | $1.05 | |
| | 5.4% | $0.5 |
The best score, 27.8%, costs $7.15 a task
Runs on the cost frontier score higher than any run that's cheaper. The costs are the leaderboard's own estimates, so compare them only within this benchmark.
Source: Official SnorkelManufacturing leaderboard
| Model | Effort | Harness | Score | Cost per task | Output tokens |
|---|---|---|---|---|---|
| | 27.8% | $7.15 | |||
| GPT-6.1 Sol | 19.6% | $0.25 | |||
| | 19.5% | $4.28 | |||
| Grok 4.6 | 16.4% | $1.98 | |||
| Grok 4.7 | 12.1% | $2.26 | |||
| GLM-5.3 | 11.9% | $0.92 | |||
| Claude Fable 5.1 | 11.3% | $5.89 | |||
| | 10.5% | $1.09 | |||
| Claude Opus 5.5 | 10.4% | $2.62 | |||
| Kimi K3 | 10.2% | $2.62 | |||
| GPT-6 Astra | 10% | $7.39 | |||
| Claude Opus 5 | 9.40% | $3.12 | |||
| | 8.30% | $2.23 | |||
| | 8.10% | $1.08 | |||
| | 7.10% | $1.05 | |||
| | 5.40% | $0.50 |
2 models have held number one on the official leaderboard since its release in October 2026
Lab claims count from the day the card came out, independent runs from the model’s release.
Source: Official SnorkelManufacturing leaderboard
Scores over time
All the scores we have, one dot each, so a model tested at several settings appears more than once.
Source: Official SnorkelManufacturing leaderboard
No lab model card reports it yet
We read the headline results of 522 launch posts from 52 labs, and none of them list this benchmark.
More in Law, finance and medicine
- MedXpertQA-MM In use Models answer expert-level medical exam questions that combine images with clinical records and test results. Scoring is accuracy.
Qwen 3.8 Max 80.4%
- HealthBench Professional In use 525 physician-authored tasks from real clinician chats (care consult, documentation, research) with physician-adjudicated rubrics. Claude Sonnet 5.5 69.2%
- HealthBench In use 5,000 realistic health conversations graded against physician-written rubrics. A length-adjusted variant penalizes verbosity. GPT-5 67.2%
- FinSearchComp In use Agents search the web to fetch live financial data, look up history, and run multi-step investigations, across 635 expert-written questions. Scored by answer accuracy.
Ling-3.1-flash 81.7%
- KBL In use Models answer Korean legal knowledge and reasoning tasks and Korean bar exam questions. It has 7 knowledge tasks, 4 reasoning tasks and 2,510 bar exam items.
Solar Pro 4 77.5%
- KorMedMCQA In use Models answer 7,469 multiple-choice questions from Korean licensing exams for doctors, nurses, pharmacists and dentists, held from 2012 to 2024.
Solar Pro 4 93.2%