Agent Frank vs Qualified
Zero of twelve models named Agent Frank first on the direct prompt; one named Qualified. Agent Frank was named by eight of the twelve models and Qualified by nine and both carry 10 labels, so the shares below are 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 AI SDR agents page.
By framing
Agent FrankFirst choices, of twelve modelsQualified
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 | | |
Agent Frank Qualified first choice named as an alternative argued againstblank: not namedEach cell is one answer, Agent Frank on the left and Qualified on the right.The direct prompt
Qualified first, Agent Frank not the choice
1 of 12 modelsAgent Frank was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
1 of 12 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
10 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
Agent Frank9%#3 of 8Qualified0%#– of 8Agent Frank2%#7 of 11Qualified2%#8 of 11Qualified2%#8 of 11Agent Frank—not namedWhat the models said about Agent Frank
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Top Pick: Agent Frank (Salesforge) - $499/month” GLM 4.7 FlashX · budget prompt · first choice
“If you want a highly scalable, fully autonomous email worker: Go with Agent Frank at $499/month.” Gemini 3.5 Flash · budget prompt · alternative
“Agent Frank at $416/mo (on annual billing) is the cheapest turnkey solution with proven ROI” Qwen 3.7 Flash · budget prompt · alternative
What the models said about Qualified
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“enterprise options like 11x ($3,750+/mo) or Qualified ($40K+/yr)” DeepSeek V4 Flash · paraphrase prompt · soft negative
“the safest "best overall" choice is usually Qualified” GPT-5.4 mini · direct prompt · first choice
“Excellent for inbound conversion; 4.9/5 G2 rating from 1,547 reviews; strong support” DeepSeek V4 Flash · negative prompt · alternative
“Inbound website conversational SDR, commonly used to convert traffic into meetings.” Perplexity Sonar · comparative prompt · alternative
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.