Zero of fourteen models named Stripe Radar first on the direct prompt; two named Sift. Stripe Radar was named by twelve of the fourteen models and Sift by fourteen and Stripe Radar carries 32 labels and Sift 44, so the shares are not directly comparable.
Named in two categories this edition.
Named in three 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 ecommerce fraud prevention page.
Across every category in the October 2026 Edition, Stripe Radar and Sift were named in the same answer fifty-four times, of the 107 answers naming Stripe Radar and the 161 naming Sift. In those answers Sift took the first choice five times and Stripe Radar twelve.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“scalable for mid-sized but more e-commerce/B2C oriented—less ideal for pure B2B vendor payments” Grok 4.1 Fast · paraphrase prompt · soft negative
“it is more of a payments-layer fraud tool than a dedicated end-to-end ecommerce risk platform” GPT-5.4 mini · comparative prompt · soft negative
“More focused on consumer/card transactions than pure B2B vendor payments” Kimi K2 · paraphrase prompt · soft negative
“the best ecommerce fraud prevention platform is usually Stripe Radar if you already process payments through Stripe” GPT-5.4 mini · budget prompt · first choice
“Stripe Radar stands out as one of the best ecommerce fraud prevention platforms due to its extremely low cost” Grok 4.1 Fast · budget prompt · first choice
“If you already process payments through Stripe, start with Stripe Radar (free for the basic plan).” MiniMax M2.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Can be complex to configure; occasional false positives requiring manual review. Not ideal for very small teams due to setup overhead.” Grok 4.1 Fast · negative prompt · soft negative
“Unlike consumer-focused tools (like Sift or Stripe Radar), these are specifically designed for B2B payment workflows” Kimi K2 · paraphrase prompt · soft negative
“Some users note that the system can occasionally generate false positives, which may require additional review time.” Claude Haiku 4.5 · negative prompt · soft negative
“Start with Sift for most mid-market B2B ecommerce—it's consistently #1 in G2 rankings for balanced performance without overkill.” Grok 4.1 Fast · direct prompt · first choice
“Sift maintains #1 position across all fraud prevention categories in G2's Fall 2025 Reports” Muse Glimmer 30B · comparative prompt · first choice
“Sift - Top-rated on G2 for real-time detection.” Grok 4.1 Fast · comparative 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.