Persefoni vs Sweep
One of fourteen models named Persefoni first on the direct prompt; two named Sweep. Persefoni was named by thirteen of the fourteen models and Sweep by fourteen and Persefoni carries 30 labels and Sweep 35, so the shares are not directly comparable.
Named in one category 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 ESG and carbon reporting page.
By framing
PersefoniFirst choices, of fourteen modelsSweep
Across every category in the November 2026 Edition, Persefoni and Sweep were named in the same answer thirty-nine times, of the 90 answers naming Persefoni and the 76 naming Sweep. In those answers Sweep took the first choice five times and Persefoni nine.
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 | | | | |
Persefoni Sweep first choice named as an alternative argued againstblank: not namedEach cell is one answer, Persefoni on the left and Sweep on the right.The direct prompt
Persefoni first, Sweep an alternative
1 of 14 modelsSweep was named in the answer but not as the choice, or not at all.Sweep first, Persefoni an alternative
2 of 14 modelsPersefoni 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
5 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
Persefoni18%#2 of 17Sweep4%#5 of 17What the models said about Persefoni
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“technically rigorous but are generally framed for enterprises & financial institutions with complex regulatory needs and pricing/complexity” Muse Glimmer 30B · paraphrase prompt · soft negative
“The paid tier jumps to ~$55k/year, which is unrealistic for most small companies.” DeepSeek V4 Flash · budget prompt · soft negative
“far more accessible than enterprise platforms like Persefoni ($50K–$200K)” DeepSeek V4 Flash · paraphrase prompt · soft negative
“It is widely considered the most accessible platform for companies that don't have a large sustainability team.” Qwen 3.7 Flash · direct prompt · first choice
“Best budget pick: Persefoni Pro—if your main need is carbon accounting and climate reporting.” GPT-6 Luna · budget prompt · first choice
“The best ESG reporting software for a company with a limited budget is Persefoni, which is free.” Llama 4 Maverick · budget prompt · first choice
What the models said about Sweep
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“~$15,000/year, good for corporate decarbonization and CSRD compliance” GLM 4.7 FlashX · budget prompt · soft negative
“Start by requesting demos from Watershed and Sweep. These two cover the vast majority of mid-sized B2B needs” Qwen 3.7 Flash · paraphrase prompt · first choice
“Often the best fit for 500 employees): *Examples:* Watershed, Sweep, Position Green, Novata, Persefoni, Greenly.” Gemini 3.5 Flash · scale prompt · first choice
“My default pick: Sweep—if you want one platform for emissions, broader ESG disclosures, and value-chain data.” GPT-6 Luna · direct 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.