Five of twelve models named Lattice first on the direct prompt; zero named Teamflect. Lattice was named by twelve of the twelve models and Teamflect by six and Lattice carries 38 labels and Teamflect 10, so the shares are not directly comparable.
Named in nineteen categories this edition.
Named in nine 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.
Across every category in the September 2026 Edition, Lattice and Teamflect were named in the same answer eighty-six times, of the 672 answers naming Lattice and the 149 naming Teamflect. In those answers Teamflect took the first choice nine times and Lattice thirteen.
| 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.
No label in this category carried a quote.
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
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.