Pricing optimization · November 2026 Edition
Pricefx vs Competera
Ten of fourteen models named Pricefx first on the direct prompt; one named Competera. Both were named by all fourteen models and Pricefx carries 54 labels and Competera 32, so the shares are not directly comparable.
Named in one category this edition.
Named in two categories this edition.
First-choice share49%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%25%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#6A position in a field of 9; printed, not drawn.
Labels5432A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Pricefx reading right to left. Rank and label count are printed, not drawn.Zilliant was named alongside these two in eleven of the fourteen direct answers. Pricefx vs Prisync · Pricefx vs Zilliant · Pricefx vs PriceLabs
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 pricing optimization page.
By framing
How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PricefxFirst choices, of fourteen modelsCompetera
Direct101
Paraphrase130
Comparative80
Budget-constrained004 against Pricefx · 2 against Competera
Scale-constrained001 against Pricefx
Negative003 against Pricefx · 6 against Competera
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the November 2026 Edition, Pricefx and Competera were named in the same answer sixty-one times, of the 169 answers naming Pricefx and the 73 naming Competera. In those answers Competera took the first choice one time and Pricefx twenty-one.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Pricefx and Competera stood in it.
| 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 | | | |
Pricefx Competera first choice named as an alternative argued againstblank: not namedEach cell is one answer, Pricefx on the left and Competera on the right.The direct prompt
The plain question, one answer per model, grouped by where Pricefx and Competera stood in it.
Pricefx first, Competera not the choice
10 of 14 modelsCompetera was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Pricefx alternatives: Pricemoov, Zilliant
Gemini 3.5 FlashPricefx alternatives: Enable, Pricemoov, Vendavo, Zilliant
Perplexity SonarPricefx alternatives: Native commerce-platform pricing, Vendavo, Zilliant
Grok 4.20Pricefx alternatives: Zilliant
Mistral SmallPricefx, Zilliant alternatives: PROS Smart Price Optimization & Management, Vendavo Pricepoint
DeepSeek V4 FlashPricefx alternatives: PROS Smart Price Optimization & Management, Price2Spy, Prisync, Salesforce Revenue Cloud, Vendavo, Zilliant
Kimi K2Pricefx alternatives: PROS Smart Price Optimization & Management, Zilliant
MiniMax M2.5PROS Smart Price Optimization & Management, Pricefx alternatives: CloudPricing, Vendavo, Zilliant
GPT-6 LunaPricefx alternatives: PROS Smart Price Optimization & Management, Vendavo, Zilliant
Muse Glimmer 30BPricefx alternatives: Vendavo, Zilliant
Competera first, Pricefx an alternative
1 of 14 modelsPricefx was named in the answer but not as the choice, or not at all.Llama 4 MaverickCompetera alternatives: Minderest, Pricefx, Vendavo Pricepoint
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.Qwen 3.7 FlashProPrice alternatives: Impartner, Pricefx, Profitect
GLM 4.7 FlashXPricePro alternatives: Adobe Commerce, Pricefx, Pricerium.ai, SAP Commerce, Salesforce Commerce Cloud
Neither was named
1 of 14 modelsThe answer made no first choice from these two in this category.GPT-5.4 miniConga Price Optimization & Management alternatives: Vistaar, Zilliant
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
The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Pricefx leads by fourteen points.
Pricefx14%#2 of 8Competera0%#6 of 8Mid-marketThe figures above
Pricefx leads by forty-seven points.
Pricefx49%#1 of 9Competera2%#6 of 9Enterprise
What the models said about Pricefx
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Pricefx is one such platform that has been criticized for its custom pricing only feature, which may not be ideal for small businesses due to its opaque and limited functionality” Llama 4 Maverick · negative prompt · hard negative
“Avoid enterprise platforms such as Pricefx, PROS, Zilliant, or Competera” Perplexity Sonar · budget prompt · hard negative
“Pricefx, Competera, Vendavo, and similar systems may be appropriate for complex enterprises, but quote-only implementations can become expensive and overbuilt” Perplexity Sonar · negative prompt · soft negative
“Cloud-native suite spanning price management, optimization, CPQ, rebates, and analytics; strong choice when one platform must cover the full pricing lifecycle.” Perplexity Sonar · comparative prompt · first choice
“It's positioned as the pricing optimization software pick for B2B manufacturers and distributors that want the shortest path to informed pricing decisions” Claude Haiku 4.5 · comparative prompt · first choice
“A cloud-native, modular pricing platform popular for enterprise B2B... widely recognized for having faster implementation times and shorter time-to-ROI” Gemini 3.5 Flash · comparative prompt · first choice
What the models said about Competera
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Other platforms that have been criticized include PROS Smart Price Optimization & Management, Zilliant, and Competera.” Llama 4 Maverick · negative prompt · hard negative
“Avoid overkill enterprise platforms (e.g., Vendavo, Competera) that are better for larger firms.” Grok 4.20 · budget prompt · hard negative
“Avoid enterprise platforms such as Pricefx, PROS, Zilliant, or Competera” Perplexity Sonar · budget prompt · hard negative
“Competera - Best for mid-market and enterprise retail, with 20+ demand factors and 95%+ forecast accuracy.” Llama 4 Maverick · direct prompt · first choice
“Cloud-native, lower-friction B2B pricing platforms with modular setups and shorter time-to-value (e.g., Pricefx, Competera, or agile modern alternatives)” Gemini 3.5 Flash · negative prompt · alternative
“Demand-based retail optimization using many demand factors, competitor intelligence, and frequent SKU repricing” Perplexity Sonar · comparative prompt · alternative
Also compared
Pricefx vs PrisyncPricefx vs ZilliantPricefx vs PriceLabsPricefx vs Price2SpyPricefx vs PROS Smart Price Optimization & ManagementPricefx vs Conga Price Optimization & ManagementPrisync vs CompeteraZilliant vs CompeteraPriceLabs vs CompeteraPrice2Spy vs CompeteraCompetera vs PROS Smart Price Optimization & ManagementCompetera vs Conga Price Optimization & ManagementAll twenty-eight head-to-head pages and the full pricing optimization standing
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.