Gem vs Beamery
Two of fourteen models named Gem first on the direct prompt; zero named Beamery. Gem was named by ten of the fourteen models and Beamery by twelve and Gem carries 14 labels and Beamery 21, so the shares are not directly comparable.
Named in eight categories this edition.
Named in ten 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 recruitment marketing and career sites page.
By framing
GemFirst choices, of fourteen modelsBeamery
Across every category in the November 2026 Edition, Gem and Beamery were named in the same answer sixty-six times, of the 202 answers naming Gem and the 276 naming Beamery. In those answers Beamery took the first choice three times and Gem twelve.
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 | | |
Gem Beamery first choice named as an alternative argued againstblank: not namedEach cell is one answer, Gem on the left and Beamery on the right.The direct prompt
Gem first, Beamery not the choice
2 of 14 modelsBeamery 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
6 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
Gem0%#– of 12Beamery0%#11 of 12Beamery3%#7 of 15Gem0%#– of 15What the models said about Gem
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Avature or Gem-style stacks are stronger, but they're more often chosen by teams with more complex recruiting operations” GPT-5.4 mini · direct prompt · soft negative
“Examples in this category often include Teamtailor, Beamery, Gem, or Phenom.” Qwen 3.7 Flash · scale prompt · first choice
What the models said about Beamery
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.
“Examples in this category often include Teamtailor, Beamery, Gem, or Phenom.” Qwen 3.7 Flash · scale prompt · first choice
“Deep Automation & Segmentation | Beamery or Phenom” Qwen 3.7 Flash · 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.