Tability vs Profit.co
Nine of twelve models named Tability first on the direct prompt; zero named Profit.co. Tability was named by eleven of the twelve models and Profit.co by eleven and Tability carries 44 labels and Profit.co 33, so the shares are not directly comparable.
Named in one category this edition.
Named in two 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 goals and okrs page.
By framing
TabilityFirst choices, of twelve modelsProfit.co
Across every category in the September 2026 Edition, Tability and Profit.co were named in the same answer fifty-eight times, of the 111 answers naming Tability and the 114 naming Profit.co. In those answers Profit.co took the first choice seven times and Tability twenty-five.
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 | | | | |
Tability Profit.co first choice named as an alternative argued againstblank: not namedEach cell is one answer, Tability on the left and Profit.co on the right.The direct prompt
Tability first, Profit.co an alternative
9 of 12 modelsProfit.co was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
1 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
Tability37%#1 of 13Profit.co7%#3 of 13Tability29%#1 of 17Profit.co7%#6 of 17Profit.co14%#3 of 13Tability6%#4 of 13What the models said about Tability
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Tability is built to solve the execution gap. It is highly recommended for Operations, Chiefs of Staff, or business leaders” Gemini 3.5 Flash · paraphrase prompt · first choice
“The best OKR software for a company with a limited budget is Tability, which ranks first in a comparison of 12 tools.” Llama 4 Maverick · budget prompt · first choice
“a lightweight dedicated tool (Tability, Weekdone, Mooncamp) is justified; ... Profit.co, Perdoo, Tability” DeepSeek V4 Flash · comparative prompt · first choice
What the models said about Profit.co
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 Profit.co (overwhelming complexity)” DeepSeek V4 Flash · negative prompt · hard negative
“it has a steep learning curve because every key result must first be mapped to a defined KPI system” Gemini 3.5 Flash · comparative prompt · soft negative
“The user interface has a steeper learning curve and can feel complex for beginners.” Gemini 3.5 Flash · budget prompt · soft negative
“Profit.co's free plan stands out as the most comprehensive free option that doesn't sacrifice essential features.” Claude Haiku 4.5 · budget prompt · first choice
“1. Profit.co - *Best overall free plan* - Permanently free plan with unlimited OKRs and unlimited users” GLM 4.7 FlashX · budget prompt · first choice
“my top pick is Profit.co because it offers a permanently free plan with broad OKR functionality” GPT-5.4 mini · budget prompt · first choice
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.