Channelscaler vs PartnerStack
Four of fourteen models named Channelscaler first on the direct prompt; zero named PartnerStack. Channelscaler was named by thirteen of the fourteen models and PartnerStack by nine and Channelscaler carries 23 labels and PartnerStack 15, so the shares are not directly comparable.
San Mateo, United States, founded 2010. Named in three categories this edition.
Named in five 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 channel partner and local marketing page.
By framing
ChannelscalerFirst choices, of fourteen modelsPartnerStack
Across every category in the October 2026 Edition, Channelscaler and PartnerStack were named in the same answer eighty-one times, of the 147 answers naming Channelscaler and the 419 naming PartnerStack. In those answers PartnerStack took the first choice eight times and Channelscaler 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 | | | | |
Channelscaler PartnerStack first choice named as an alternative argued againstblank: not namedEach cell is one answer, Channelscaler on the left and PartnerStack on the right.The direct prompt
Channelscaler first, PartnerStack an alternative
4 of 14 modelsPartnerStack 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
8 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
PartnerStack15%#1 of 12Channelscaler2%#– of 12Channelscaler10%#1 of 11PartnerStack7%#5 of 11Channelscaler0%#9 of 9PartnerStack0%#– of 9What the models said about Channelscaler
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“Start with Allbound or Zift Solutions. Allbound if you need equal emphasis on partner sales enablement and marketing” Kimi K2 · direct prompt · first choice
What the models said about PartnerStack
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“sales and commissions are not being tracked correctly on PartnerStack, with tests showing it did not process a single commission” Claude Haiku 4.5 · negative prompt · hard 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.