Blinq vs B2Brain
Four of fourteen models named Blinq first on the direct prompt; five named B2Brain. Blinq was named by twelve of the fourteen models and B2Brain by ten and Blinq carries 41 labels and B2Brain 28, so the shares are not directly comparable.
Named in two categories 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 event lead capture apps page.
By framing
BlinqFirst choices, of fourteen modelsB2Brain
Across every category in the November 2026 Edition, Blinq and B2Brain were named in the same answer forty-seven times, of the 131 answers naming Blinq and the 66 naming B2Brain. In those answers B2Brain took the first choice nine times and Blinq eleven.
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 4.20 | | | | | | |
| 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 | | | | |
Blinq B2Brain first choice named as an alternative argued againstblank: not namedEach cell is one answer, Blinq on the left and B2Brain on the right.The direct prompt
Blinq first, B2Brain an alternative
4 of 14 modelsB2Brain was named in the answer but not as the choice, or not at all.B2Brain first, Blinq an alternative
5 of 14 modelsBlinq was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
2 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
3 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
B2Brain12%#2 of 11Blinq2%#8 of 11What the models said about Blinq
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“This app has consistent technical problems: Many users report issues reading QR codes” Claude Haiku 4.5 · negative prompt · hard negative
“All the data you need to follow up every lead / 25+ live data providers, with AI search filling any gaps” Muse Glimmer 30B · negative prompt · soft negative
“Blinq, Popl, and similar digital card/QR-based apps... have recurring cons like QR code scanning failures” Grok 4.20 · negative prompt · soft negative
“A digital business card and lead capture platform that works well for in-person networking and events... often recommended for teams looking to drive revenue from events without a large upfront investment.” Mistral Small · budget prompt · first choice
“Blinq is frequently highlighted for its AI notetaker, which records live conversations, and its strong CRM sync capabilities.” Mistral Small · direct prompt · first choice
“Blinq (Best Overall Value) ... For most limited budgets: Start with Blinq's free tier (2 cards)” Kimi K2 · budget prompt · first choice
What the models said about B2Brain
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“B2Brain, Momencio, or Wave Connect: Often ranked highly for turning scans into actionable pipeline” Grok 4.20 · negative prompt · first choice
“B2Brain and Popl are currently the top two recommendations for different use cases.” Qwen 3.7 Flash · direct prompt · first choice
“B2Brain is the best choice for most mid-market B2B companies” DeepSeek V4 Flash · direct 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.