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Strategic sourcing · November 2026 Edition

Prokuria vs Coupa

Two of fourteen models named Prokuria first on the direct prompt; one named Coupa. Prokuria was named by ten of the fourteen models and Coupa by fourteen and Prokuria carries 20 labels and Coupa 35, so the shares are not directly comparable.

Prokuria

accepted challenger

Named in one category this edition.

Coupa

criticized challenger

Named in nine categories this edition.

First-choice share9%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%40%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#8A position in a field of 15; printed, not drawn.
Labels2035A 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 Coupa · 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 modelsCoupa
Direct214 against Coupa
Paraphrase012 against Coupa
Comparative00
Budget-constrained205 against Coupa
Scale-constrained112 against Coupa
Negative001 against Coupa
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 Coupa 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 Coupa first choice named as an alternative argued againstblank: not namedEach cell is one answer, Prokuria on the left and Coupa on the right.

The direct prompt

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

Prokuria first, Coupa an alternative

2 of 14 modelsCoupa 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

Coupa first, Prokuria not the choice

1 of 14 modelsProkuria was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Corcentric Sourcing, Coupa, Zycus alternatives: Ivalua, Market Dojo, Proactis Sourcing

Neither was the first choice, one was named

5 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Grok 4.20Procurify alternatives: Coupa, GEP SMART
DeepSeek V4 FlashProcurify alternatives: GEP SMART, Market Dojo, Precoro, Prokuria
Kimi K2Procurify alternatives: Coupa, Ivalua, Jaggaer, Prokuria
GLM 4.7 FlashXno first choice alternatives: Market Dojo, Precoro, Procurify, Prokuria, TYASuite Procurement, Tradogram
GPT-6 LunaWorkday Strategic Sourcing alternatives: Coupa, GEP Quantum Intelligence, GEP SMART, Market Dojo

Neither was named

6 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniWorkday Strategic Sourcing alternatives: GEP SMART, Ivalua, SAP Ariba Sourcing Suite
Gemini 3.5 FlashWorkday Strategic Sourcing alternatives: Archlet, Market Dojo, Scanmarket, Tropic, Vertice, Zip
Perplexity SonarGEP SMART alternatives: Jaggaer, Proactis, Procurify
Mistral SmallIvalua, SAP Ariba alternatives: P3Source, Team Procure
Llama 4 MaverickGEP SMART alternatives: Jaggaer, Oxalys, Proactis
Qwen 3.7 FlashCoupa Business Buying alternatives: GEP SMART, Ivalua, Jaggaer

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
Coupa0%#17 of 18
The full small business standing →
Mid-marketThe figures above
Prokuria leads by four points.
Prokuria9%#2 of 15
Coupa5%#8 of 15
The full mid-market standing →
Enterprise
The order flips: Coupa leads at enterprise.
Coupa31%#1 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 Coupa

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

“explicitly advise against these for SMBs due to their steep learning curves, high costs, and overkill for smaller operations” Mistral Small · negative prompt · hard negative
“Pure Mid-Market: (e.g., Procol, Sourcifi, GEP SMART, Coupa). ... These are usually the best fit for 500-person companies.” Qwen 3.7 Flash · scale prompt · first choice
“Coupa Sourcing, GEP SMART, and Ivalua are excellent choices if you need a full-featured, scalable solution” 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.