Credit Key vs Fundbox
Three of fourteen models named Credit Key first on the direct prompt; one named Fundbox. Credit Key was named by thirteen of the fourteen models and Fundbox by nine and Credit Key carries 28 labels and Fundbox 14, 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 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 B2B BNPL and net terms page.
By framing
Credit KeyFirst choices, of fourteen modelsFundbox
Across every category in the October 2026 Edition, Credit Key and Fundbox were named in the same answer fifteen times, of the 74 answers naming Credit Key and the 39 naming Fundbox. In those answers Fundbox took the first choice three times and Credit Key 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 | | |||||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | |
Credit Key Fundbox first choice named as an alternative argued againstblank: not namedEach cell is one answer, Credit Key on the left and Fundbox on the right.The direct prompt
Credit Key first, Fundbox not the choice
3 of 14 modelsFundbox was named in the answer but not as the choice, or not at all.Fundbox first, Credit Key an alternative
1 of 14 modelsCredit Key was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
7 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
Credit Key10%#3 of 10Fundbox4%#6 of 10Credit Key14%#2 of 12Fundbox2%#7 of 12Credit Key0%#6 of 9Fundbox0%#– of 9What the models said about Credit Key
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Start with Credit Key or Resolve Pay if you're a US-based mid-market e-com or supplier—Credit Key for quick e-commerce embeds” Grok 4.1 Fast · direct prompt · first choice
“I'd recommend starting with Billie if you operate in Europe or Credit Key if you're US-focused.” GLM 4.7 FlashX · direct prompt · first choice
“the best B2B BNPL provider is usually Credit Key if you need a true B2B-focused option” Perplexity Sonar · budget prompt · first choice
What the models said about Fundbox
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Five of six in this category shown.
“Generally not recommended for mid-market due to very high APRs (80–240%+) and limited AR automation” Kimi K2 · direct prompt · hard negative
“BBB complaint summary: 26 total complaints in the last 3 years... frustrations regarding unexpected automated payment system glitches and sudden strict restrictions on new credit line draws” Muse Glimmer 30B · negative prompt · soft negative
“Start with Resolve or Fundbox.” Qwen 3.7 Flash · direct prompt · first choice
“more of an embedded financing / capital platform, but it can power net terms and installment options in B2B commerce” GPT-5.4 mini · comparative prompt · alternative
“Fundbox offers robust B2B purchasing credits and Net Terms options for vendors” Qwen 3.7 Flash · 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.