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Strategic sourcing · November 2026 Edition

Prokuria vs Ivalua

Two of fourteen models named Prokuria first on the direct prompt; one named Ivalua. Prokuria was named by ten of the fourteen models and Ivalua by twelve and Prokuria carries 20 labels and Ivalua 24, so the shares are not directly comparable.

Prokuria

accepted challenger

Named in one category this edition.

Ivalua

criticized challenger

Named in six categories this edition.

First-choice share9%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%38%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#6A position in a field of 15; printed, not drawn.
Labels2024A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Prokuria reading right to left. Rank and label count are printed, not drawn.oboloo vs Prokuria · oboloo vs Ivalua · Prokuria vs Market Dojo

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 strategic sourcing page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
ProkuriaFirst choices, of fourteen modelsIvalua
Direct214 against Ivalua
Paraphrase032 against Ivalua
Comparative01
Budget-constrained203 against Ivalua
Scale-constrained10
Negative00
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Prokuria and Ivalua stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Prokuria Ivalua first choice named as an alternative argued againstblank: not namedEach cell is one answer, Prokuria on the left and Ivalua on the right.

The direct prompt

The plain question, one answer per model, grouped by where Prokuria and Ivalua stood in it.

Prokuria first, Ivalua not the choice

2 of 14 modelsIvalua was named in the answer but not as the choice, or not at all.
MiniMax M2.5Prokuria alternatives: Coupa, TYASuite Procurement
Muse Glimmer 30BProkuria alternatives: Precoro, Procol, Procurify, cusoso Target

Ivalua first, Prokuria not the choice

1 of 14 modelsProkuria was named in the answer but not as the choice, or not at all.
Mistral SmallIvalua, SAP Ariba alternatives: P3Source, Team Procure

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.
Claude Haiku 4.5Corcentric Sourcing, Coupa, Zycus alternatives: Ivalua, Market Dojo, Proactis Sourcing
GPT-5.4 miniWorkday Strategic Sourcing alternatives: GEP SMART, Ivalua, SAP Ariba Sourcing Suite
DeepSeek V4 FlashProcurify alternatives: GEP SMART, Market Dojo, Precoro, Prokuria
Qwen 3.7 FlashCoupa Business Buying alternatives: GEP SMART, Ivalua, Jaggaer
Kimi K2Procurify alternatives: Coupa, Ivalua, Jaggaer, Prokuria
GLM 4.7 FlashXno first choice alternatives: Market Dojo, Precoro, Procurify, Prokuria, TYASuite Procurement, Tradogram

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashWorkday Strategic Sourcing alternatives: Archlet, Market Dojo, Scanmarket, Tropic, Vertice, Zip
Perplexity SonarGEP SMART alternatives: Jaggaer, Proactis, Procurify
Grok 4.20Procurify alternatives: Coupa, GEP SMART
Llama 4 MaverickGEP SMART alternatives: Jaggaer, Oxalys, Proactis
GPT-6 LunaWorkday Strategic Sourcing alternatives: Coupa, GEP Quantum Intelligence, GEP SMART, Market Dojo

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
Prokuria leads by seventeen points.
Prokuria17%#1 of 18
Ivalua0%#15 of 18
The full small business standing →
Mid-marketThe figures above
Prokuria leads by two points.
Prokuria9%#2 of 15
Ivalua7%#6 of 15
The full mid-market standing →
Enterprise
The order flips: Ivalua leads at enterprise.
Ivalua25%#3 of 9
Prokuria0%#– of 9
The full enterprise standing →

What the models said about Prokuria

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“supplier management + e-sourcing + contract management in one user-friendly platform, easy to customize and fast to start” Muse Glimmer 30B · direct prompt · first choice
“If I had to pick the single best for most budget-constrained companies, it would be Prokuria” DeepSeek V4 Flash · budget prompt · first choice
“Prokuria if budget is a primary concern and you need solid core functionality” MiniMax M2.5 · direct prompt · first choice

What the models said about Ivalua

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“If you are a mid-market growth company needing speed and modern AI, Ivalua or aKiro Labs are currently viewed as the superior next-generation choices.” Qwen 3.7 Flash · comparative prompt · first choice
“Ivalua and SAP Ariba are the top strategic sourcing software due to their robust features, scalability, and integration capabilities” Mistral Small · direct prompt · first choice
“Coupa Sourcing, GEP SMART, and Ivalua are excellent choices” Mistral Small · paraphrase prompt · first choice
Also compared

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.