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

Ivalua vs Jaggaer

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

Ivalua

accepted challenger

Named in three categories this edition.

Jaggaer

criticized challenger

Named in three categories this edition.

First-choice share4%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%28%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#5#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, Ivalua reading right to left. Rank and label count are printed, not drawn.GEP SMART was named alongside these two in nine of the twelve direct answers. Precoro vs Ivalua · Precoro vs Jaggaer · Tradogram vs Ivalua

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.
IvaluaFirst choices, of twelve modelsJaggaer
Direct101 against Ivalua · 2 against Jaggaer
Paraphrase001 against Jaggaer
Comparative00
Budget-constrained00
Scale-constrained111 against Ivalua · 2 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, Ivalua and Jaggaer were named in the same answer 122 times, of the 208 answers naming Ivalua and the 187 naming Jaggaer. In those answers Jaggaer took the first choice three times and Ivalua four.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where Ivalua 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
Ivalua Jaggaer first choice named as an alternative argued againstblank: not namedEach cell is one answer, Ivalua on the left and Jaggaer on the right.

The direct prompt

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

Ivalua first, Jaggaer not the choice

1 of 12 modelsJaggaer was named in the answer but not as the choice, or not at all.
Mistral SmallGEP SMART, Ivalua alternatives: Coupa, Workday Strategic Sourcing, Zycus

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniProcurify alternatives: Archlet, Coupa, Ivalua, SAP Ariba
Llama 4 MaverickGEP SMART alternatives: Coupa, Jaggaer, Keelvar, Zycus
Qwen 3.7 FlashGEP SMART alternatives: Coupa, Jaggaer, Procol, ProcurePort, Zycus

Neither was named

8 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5no first choice alternatives: Coupa, GEP SMART, SourceRFX, Tradogram, Zycus
Gemini 3.5 FlashWorkday Strategic Sourcing alternatives: Archlet, Market Dojo, Tropic, Zip
Perplexity SonarGEP SMART alternatives: Bonfire, Precoro, Procol
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
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
Ivalua0%#– of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Ivalua leads at mid-market.
Ivalua4%#5 of 11
Jaggaer2%#6 of 11
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Ivalua8%#3 of 7
Jaggaer8%#4 of 7
The full enterprise standing →

What the models said about Ivalua

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

“full enterprise suites may be overkill unless you're already heavily invested in that ecosystem” GLM 4.7 FlashX · scale prompt · soft negative
“It is considered the top choice for mid-market and enterprise organizations due to its comprehensive features and flexibility.” Mistral Small · direct prompt · first choice
“shortlist against Coupa, Jaggaer, GEP SMART, and Ivalua” DeepSeek V4 Flash · scale prompt · first choice
“stronger full-suite procurement platforms that tend to fit more complex organizations” GPT-5.4 mini · direct prompt · alternative

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.