Tapfiliate vs Awin
Zero of fourteen models named Tapfiliate first on the direct prompt; zero named Awin. Tapfiliate was named by twelve of the fourteen models and Awin by fourteen and Tapfiliate carries 28 labels and Awin 32, so the shares are not directly comparable.
Named in three categories this edition.
Berlin, Germany, founded 2000. 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 affiliate and partner management page.
By framing
TapfiliateFirst choices, of fourteen modelsAwin
Across every category in the October 2026 Edition, Tapfiliate and Awin were named in the same answer twenty-four times, of the 105 answers naming Tapfiliate and the 81 naming Awin. In those answers Awin took the first choice one time and Tapfiliate six.
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 | | | | |
Tapfiliate Awin first choice named as an alternative argued againstblank: not namedEach cell is one answer, Tapfiliate on the left and Awin on the right.The direct prompt
Neither was the first choice, one was named
6 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 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
Tapfiliate6%#4 of 16Awin0%#13 of 16What the models said about Tapfiliate
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“such as the result warning not to use Tapfiliate for an affiliate program, deserve extra scrutiny before adoption.[8]” Perplexity Sonar · negative prompt · hard negative
“Avoid enterprise tools (e.g., Impact, Tapfiliate at $89+/mo) until revenue grows.” Grok 4.1 Fast · budget prompt · hard negative
“What to Avoid on a Limited Budget | Tapfiliate | Starts at ~$129/month” DeepSeek V4 Flash · budget prompt · hard negative
“or Tapfiliate / LeadDyno if you want simple software for running your own program” Perplexity Sonar · budget prompt · first choice
“Best all-around low-cost option: Tapfiliate ($89/mo)” GLM 4.7 FlashX · budget prompt · first choice
“designed for small to mid-market SaaS and ecommerce brands needing quick-deploy affiliate management” Claude Haiku 4.5 · direct prompt · alternative
What the models said about Awin
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“you should avoid traditional "Affiliate Networks" (like Awin/ShareASale, CJ Affiliate, or Impact.com)” Gemini 3.5 Flash · budget prompt · hard negative
“What to Avoid on a Limited Budget | ShareASale/Awin | ~$625–$750 one-time setup fee” DeepSeek V4 Flash · budget prompt · hard negative
“Awin | Mixed reviews with billing and support problems” GLM 4.7 FlashX · negative prompt · hard negative
“the best starting option is usually Awin Access / Awin if you want a low-cost affiliate network” Perplexity Sonar · budget prompt · first choice
“Starting a content site or blog: Try Awin or CJ for multiple brands” GPT-6 Luna · comparative prompt · first choice
“look at CJ, Awin, or Impact” GPT-5.4 mini · 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.