GoodTime vs Lever
Two of twelve models named GoodTime first on the direct prompt; four named Lever. GoodTime was named by twelve of the twelve models and Lever by eleven and GoodTime carries 45 labels and Lever 28, so the shares are not directly comparable.
Named in two categories this edition.
Named in nine categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the interview scheduling page.
By framing
GoodTimeFirst choices, of twelve modelsLever
Across every category in the September 2026 Edition, GoodTime and Lever were named in the same answer forty-three times, of the 135 answers naming GoodTime and the 255 naming Lever. In those answers Lever took the first choice four times and GoodTime thirteen.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | |||||
| GPT-5.4 mini | | | | | ||
| Gemini 3.5 Flash | | | | | ||
| Perplexity Sonar | | | | | ||
| Grok 4.1 Fast | | | | | | |
| Mistral Small | | | | | | |
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | ||
| GLM 4.7 FlashX | | | ||||
| MiniMax M2.5 | | | | |
GoodTime Lever first choice named as an alternative argued againstblank: not namedEach cell is one answer, GoodTime on the left and Lever on the right.The direct prompt
Both were the first choice
1 of 12 modelsThe answer named them together, and the judge labeled each a first choice.GoodTime first, Lever not the choice
1 of 12 modelsLever was named in the answer but not as the choice, or not at all.Lever first, GoodTime an alternative
3 of 12 modelsGoodTime was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 12 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
GoodTime9%#5 of 11Lever8%#6 of 11What the models said about GoodTime
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid ATS-style recruiting platforms like Breezy HR, Workable, or GoodTime if budget is tight” Perplexity Sonar · budget prompt · hard negative
“Enterprise, quote-only, often thousands per month — avoid these on a limited budget” DeepSeek V4 Flash · budget prompt · hard negative
“Frequent reports of bugs like missing time slots, crashes, slow performance, calendar sync glitches, and timezone issues.” Grok 4.1 Fast · negative prompt · soft negative
“Choose GoodTime if you have a dedicated recruiting team and want to automate the administrative side of interviewing” Qwen 3.7 Flash · comparative prompt · first choice
“GoodTime is the top choice for enterprises whose scheduling challenge extends beyond simple booking” Claude Haiku 4.5 · comparative prompt · first choice
“Best overall for mid-market recruiting teams: GoodTime if you run multi-interviewer panels” GPT-5.4 mini · direct prompt · first choice
What the models said about Lever
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“its native scheduling tool is frequently cited by users as having the "absolute worst UX."” Qwen 3.7 Flash · negative prompt · hard negative
“Less structured tools, pricier renewals ... they're overkill (and 2-5x costlier) for most mid-sized B2B ops” Grok 4.1 Fast · paraphrase prompt · soft negative
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.