Which is the best way to benchmark two agent frameworks?
Why B is the answer
The same scenarios and metrics on each
Only the same test allows a fair comparison.
In detail
- Only the same scenarios and metrics give a fair comparison.
- Control everything but the framework.
Use case
An illustrative scenario, not a real incident.
A team runs the same scenarios and metrics on two frameworks, for a fair comparison.
See it in different ways
flowchart LR A["Scenario set"] --> B["Run agent"] B --> C["Score task success"] B --> D["Score tool choices"] B --> E["Measure cost and latency"] C --> F["Compare with baseline"] D --> F E --> F
mindmap
root((Agent evaluation))
Outcome
Task success
Path
Tool accuracy
Loops
Cost
Tokens
Latency
Safety
Regression setflowchart LR S0["Same scenarios"] --> S1["Same metrics"] --> S2["Compare"]
Key point: Same test, fair comparison.
Why the other options are wrong
- A. Whichever framework has the newer release
- New does not mean better.
- C. Each vendor's own published demo results
- Vendor demos are chosen to look good.
- D. The number of stars on each repository
- Stars measure popularity.