Criteria Corp vs iMocha
Three of twelve models named Criteria Corp first on the direct prompt; zero named iMocha. Criteria Corp was named by twelve of the twelve models and iMocha by ten and Criteria Corp carries 33 labels and iMocha 16, so the shares are not directly comparable.
Named in three categories this edition.
Named in six 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 candidate assessment page.
By framing
Criteria CorpFirst choices, of twelve modelsiMocha
Across every category in the September 2026 Edition, Criteria Corp and iMocha were named in the same answer twenty-nine times, of the 101 answers naming Criteria Corp and the 89 naming iMocha. In those answers iMocha took the first choice three times and Criteria Corp two.
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 | |
Criteria Corp iMocha first choice named as an alternative argued againstblank: not namedEach cell is one answer, Criteria Corp on the left and iMocha on the right.The direct prompt
Criteria Corp first, iMocha not the choice
3 of 12 modelsiMocha was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
4 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
5 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
Criteria Corp0%#6 of 8iMocha0%#– of 8Criteria Corp10%#2 of 10iMocha2%#5 of 10Criteria Corp11%#2 of 12iMocha8%#3 of 12What the models said about Criteria Corp
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Avoid: Criteria Corp appears to require custom quotes with contracts reportedly starting around $5,000-$13,000+ annually” Kimi K2 · budget prompt · hard negative
“I'd recommend Criteria Corp if you want the best balance of validated assessments, structured hiring, and mid-market fit” Perplexity Sonar · paraphrase prompt · first choice
“My top recommendation: Start with Criteria Corp if you want a scientifically rigorous, legally defensible solution” Kimi K2 · direct prompt · first choice
“Criteria Corp is widely considered the best overall platform” GLM 4.7 FlashX · direct prompt · first choice
What the models said about iMocha
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Less broad validation for non-tech” Grok 4.1 Fast · paraphrase prompt · soft negative
“Ideal for technical, IT, and digital roles, offering a large library of coding and skills tests.” Mistral Small · paraphrase 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.