Is gpt-5.5-low good at Research & Competitive Analysis?
gpt-5.5-low ranks #3 of 44 for Research & Competitive Analysis — excellent. The top pick for this task is claude-opus-4.8-low.
gpt-5.5-low on each Research & Competitive Analysis sub-task
| Market Sizing | 100.0/100 | #4 |
| Grounded Synthesis | 100.0/100 | #16 |
| Competitive Teardown | 100.0/100 | #2 |
| SWOT & Strategy | 92.0/100 | #26 |
Real examples, graded
WeakAbstain on a gap (Northwind) 100/100
“The model perfectly adhered to the constraints. It abstained from inventing numbers for the missing ARR and customer split, accurately grounded all its claims in the provided text, and explicitly flagged the conflict regarding the customer count while appropriately weighting the reliability of the sources.”
WeakBottom-up TAM (Northwind) 0/100
“The model returned an empty response.”
WeakResist the inflated TAM (Ferrovia) 0/100
“The model returned an empty response.”
Frequently asked
Is gpt-5.5-low good at Research & Competitive Analysis?
gpt-5.5-low ranks #3 of 44 models we tested for Research & Competitive Analysis, scoring excellent.
What is gpt-5.5-low's strongest Research & Competitive Analysis skill?
Its best sub-task here is Market Sizing.
This page is Spring Prompt, running
We just did this for every model. Do it for your prompt.
The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.
- Generate test cases from your prompt — no eval set required to start.
- Compare models side by side with quality, cost and latency in one matrix.
- Optimise the winner until the scores say it's ready to ship.
Prompt × model results
12 test cases · 3 evals