Tability vs OKRs Tool
Seven of fourteen models named Tability first on the direct prompt; zero named OKRs Tool. Tability was named by twelve of the fourteen models and OKRs Tool by twelve and Tability carries 32 labels and OKRs Tool 15, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen modelsOKRs Tool
Across every category in the October 2026 Edition, Tability and OKRs Tool were named in the same answer thirty-six times, of the 100 answers naming Tability and the 57 naming OKRs Tool. In those answers OKRs Tool took the first choice three times and Tability fourteen.
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 | | | | |||
| GPT-6 Luna | ||||||
| Muse Glimmer 30B | | |
Tability OKRs Tool first choice named as an alternative argued againstblank: not namedEach cell is one answer, Tability on the left and OKRs Tool on the right.The direct prompt
Tability first, OKRs Tool not the choice
7 of 14 modelsOKRs Tool was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 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
Tability30%#1 of 17OKRs Tool4%#7 of 17Tability22%#2 of 14OKRs Tool11%#4 of 14OKRs Tool13%#4 of 13Tability6%#5 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: Highly focused on simplicity, fast check-ins, and actionable tracking without enterprise bloat. Excellent automation and AI capabilities” Gemini 3.5 Flash · scale prompt · first choice
“AI goal drafting/insights, async check-ins, dashboards out-of-box, agentic OKRs. Simple UI, strong Slack/Teams. Tops benchmarks (4.5-4.7/5).” Grok 4.1 Fast · comparative prompt · first choice
“Top Pick: Tability ... start with Tability — it offers the best balance of simplicity, reporting power, and scalability at a fair price” DeepSeek V4 Flash · paraphrase prompt · first choice
What the models said about OKRs Tool
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“OKRs Tool (very young vendor, no certifications, built on unproven tech)” DeepSeek V4 Flash · negative prompt · hard negative
“Niche or limited tools (e.g., some like OKRsTool or smaller ones): Steep learning curves, busy navigation, or superficial integrations.” Grok 4.1 Fast · negative prompt · soft negative
“The best OKR software for a company with a limited budget is OKRs Tool, which is a flat-fee OKR platform that is ideal for budget-conscious teams.” Llama 4 Maverick · budget prompt · first choice
“OKRs Tool\u2019s flat $49/month rate is likely the best value compared to Weekdone\u2019s per-user cost” Qwen 3.7 Flash · budget prompt · first choice
“OKRs Tool or Perdoo offer the strongest combination of features, affordability, and scalability.” DeepSeek V4 Flash · 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.