Radar vs Gimbal
One of fourteen models named Radar first on the direct prompt; zero named Gimbal. Radar was named by eleven of the fourteen models and Gimbal by eleven and Radar carries 29 labels and Gimbal 16, so the shares are not directly comparable.
New York City, United States, founded 2016. Named in two categories this edition.
Named in one category 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 retail, proximity and iot marketing page.
By framing
RadarFirst choices, of fourteen modelsGimbal
Across every category in the October 2026 Edition, Radar and Gimbal were named in the same answer twenty-two times, of the 102 answers naming Radar and the 53 naming Gimbal. In those answers Gimbal took the first choice three times and Radar seven.
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 | | | | |
Radar Gimbal first choice named as an alternative argued againstblank: not namedEach cell is one answer, Radar on the left and Gimbal on the right.The direct prompt
Radar first, Gimbal not the choice
1 of 14 modelsGimbal was named in the answer but not as the choice, or not at all.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
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
What the models said about Radar
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Best for: Sensor-fusion geofencing at scale ... Excellent for retailers and venues needing scalable proximity event ingestion and campaign trigger rules” Kimi K2 · comparative prompt · first choice
“I'd usually recommend Radar if you want one platform that can handle location-based triggers, geofencing, and in-store/proximity experiences” GPT-5.4 mini · paraphrase prompt · first choice
“Or Radar — if you already have an app and want precise geofencing, the $0.02/user cost gives you extreme flexibility.” DeepSeek V4 Flash · budget prompt · first choice
What the models said about Gimbal
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“While this is enterprise pricing, the pay-as-you-go model ... can be more cost-effective for smaller deployments.” GLM 4.7 FlashX · budget prompt · soft negative
“Gimbal by Infillion is an enterprise-grade location-based marketing platform that enables large organizations to deliver personalized, automated campaigns at scale” Muse Glimmer 30B · comparative prompt · first choice
“look for platforms that offer a highly optimized Software Development Kit (SDK)—such as *Gimbal (Infillion)*, *Xtremepush*, or *Airship*” Gemini 3.5 Flash · negative prompt · first choice
“Gimbal is the strongest fit among the results because it is positioned as an enterprise-grade location-based marketing platform” Perplexity Sonar · paraphrase 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.