MedChemBench (Internal)Browse 284 families
MedChemBench (Internal)
Can the model reason accurately about difficult scientific material?
Version / measure
- Domain
- Science
- Ranked models
- 4
- Reported values
- 4
- Reports
- 1 · lab
- Direction
- Higher is better
- Status
- Version not specified
Rankings
Best reported score per model across effort settings
| # | Model | Best setting | Score |
|---|---|---|---|
| 1 | GPT-5.6 SolOpenAI | reportedcost n/a1 value · Jul 9 · source | 48.3% |
| 2 | GPT-5.5OpenAI | reportedcost n/a1 value · Jul 9 · source | 35.5% |
| 3 | GPT-5.6 TerraOpenAI | reportedcost n/a1 value · Jul 9 · source | 35.0% |
| 4 | GPT-5.6 LunaOpenAI | reportedcost n/a1 value · Jul 9 · source | 30.4% |
Effort curve
Score vs. reported cost. Lines connect complete sweeps only.
No cost-linked effort sweep for this version.
Definition and comparison boundaryinternal methodology
Can the model reason accurately about difficult scientific material?
Scientific knowledge and reasoning under the benchmark's published question set. Higher is better. The value is the percentage reported in this lab's table.
This is a publisher-defined internal evaluation. The task set or grading details are not fully public, so treat it as directional evidence.
Method / source ↗