Finance AI Index
Index Spend and procurement Strategic sourcing › GEP SMART vs Jaggaer
Strategic sourcing · September 2026 Edition

GEP SMART vs Jaggaer

Four of twelve models named GEP SMART first on the direct prompt; zero named Jaggaer. GEP SMART was named by ten of the twelve models and Jaggaer by eleven and GEP SMART carries 11 labels and Jaggaer 18, so the shares are not directly comparable.

GEP SMART

accepted challenger

Named in three categories this edition.

Jaggaer

criticized challenger

Named in three categories this edition.

First-choice share9%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate9%28%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 11; printed, not drawn.
Labels1118A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, GEP SMART reading right to left. Rank and label count are printed, not drawn.Precoro vs GEP SMART · Precoro vs Jaggaer · Tradogram vs GEP SMART

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve 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 twelve models made each the first choice, per way of asking, and how many argued against it.
GEP SMARTFirst choices, of twelve modelsJaggaer
Direct402 against Jaggaer
Paraphrase001 against Jaggaer
Comparative00
Budget-constrained001 against GEP SMART
Scale-constrained012 against Jaggaer
Negative00
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Across every category in the September 2026 Edition, GEP SMART and Jaggaer were named in the same answer eighty-seven times, of the 139 answers naming GEP SMART and the 187 naming Jaggaer. In those answers Jaggaer took the first choice two times and GEP SMART four.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where GEP SMART and Jaggaer stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GEP SMART Jaggaer first choice named as an alternative argued againstblank: not namedEach cell is one answer, GEP SMART on the left and Jaggaer on the right.

The direct prompt

The plain question, one answer per model, grouped by where GEP SMART and Jaggaer stood in it.

GEP SMART first, Jaggaer an alternative

4 of 12 modelsJaggaer was named in the answer but not as the choice, or not at all.
Perplexity SonarGEP SMART alternatives: Bonfire, Precoro, Procol
Mistral SmallGEP SMART, Ivalua alternatives: Coupa, Workday Strategic Sourcing, Zycus
Llama 4 MaverickGEP SMART alternatives: Coupa, Jaggaer, Keelvar, Zycus
Qwen 3.7 FlashGEP SMART alternatives: Coupa, Jaggaer, Procol, ProcurePort, Zycus

Neither was the first choice, one was named

5 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5no first choice alternatives: Coupa, GEP SMART, SourceRFX, Tradogram, Zycus
Grok 4.1 FastPrecoro alternatives: GEP SMART, Market Dojo, Tradogram
DeepSeek V4 FlashPrecoro alternatives: GEP SMART, Market Dojo, Tradogram, Workday Strategic Sourcing
Kimi K2Precoro alternatives: GEP SMART, Market Dojo, Procol, Tradogram
GLM 4.7 FlashXPrecoro alternatives: GEP SMART, SAP Ariba, ServiceNow Source‑to‑Pay Operations

Neither was named

3 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniProcurify alternatives: Archlet, Coupa, Ivalua, SAP Ariba
Gemini 3.5 FlashWorkday Strategic Sourcing alternatives: Archlet, Market Dojo, Tropic, Zip
MiniMax M2.5Precoro, Workday Strategic Sourcing alternatives: Zycus

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
Jaggaer leads by two points.
Jaggaer2%#– of 12
GEP SMART0%#– of 12
The full small business standing →
Mid-marketThe figures above
The order flips: GEP SMART leads at mid-market.
GEP SMART9%#3 of 11
Jaggaer2%#6 of 11
The full mid-market standing →
Enterprise
The order flips: Jaggaer leads at enterprise.
Jaggaer8%#4 of 7
GEP SMART2%#6 of 7
The full enterprise standing →

What the models said about GEP SMART

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

“typically out of reach due to high licensing fees, lengthy implementation times, and complex setups” Gemini 3.5 Flash · budget prompt · soft negative
“GEP SMART (Best Overall Mid-Market All-in-One) ... frequently cited as the strongest fit specifically for mid-market organizations” Qwen 3.7 Flash · direct prompt · first choice
“The best strategic sourcing software for a mid-market B2B company is GEP SMART” Llama 4 Maverick · direct prompt · first choice
“Ivalua and GEP SMART are the top strategic sourcing software choices” Mistral Small · direct prompt · first choice

What the models said about Jaggaer

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

“Avoid massive enterprise suites like SAP Ariba, Coupa (Enterprise tier), or JAGGAER” Gemini 3.5 Flash · scale prompt · hard negative
“shortlist against Coupa, Jaggaer, GEP SMART, and Ivalua” DeepSeek V4 Flash · scale 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.