Zero of twelve models named Teamflect first on the direct prompt; one named TalentGuard. Teamflect was named by six of the twelve models and TalentGuard by eleven and Teamflect carries 10 labels and TalentGuard 22, so the shares are not directly comparable.
Named in nine 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 twelve 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 succession planning page.
| 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 |
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. Two of two in this category shown.
“If you have fewer than 10 employees: Use Teamflect’s free plan (or download a free Excel template) + Creately for visual mapping. This costs you $0.” DeepSeek V4 Flash · budget prompt · first choice
“For the tightest budget, I'd suggest starting with Creately or Teamflect since they have free tiers.” MiniMax M2.5 · budget prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“come with high per-user fees and mandatory implementation or onboarding fees that can easily range from $5,000 to $10,000 upfront” Gemini 3.5 Flash · budget prompt · soft negative
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.