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

Tradogram vs Ivalua

Zero of twelve models named Tradogram first on the direct prompt; one named Ivalua. Tradogram was named by nine of the twelve models and Ivalua by eight and Tradogram carries 19 labels and Ivalua 11, so the shares are not directly comparable.

Tradogram

accepted challenger

Named in four categories this edition.

Ivalua

accepted challenger

Named in three categories this edition.

First-choice share15%4%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%18%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#5A position in a field of 11; printed, not drawn.
Labels1911A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Tradogram 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 Tradogram · Precoro vs Ivalua · 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.
TradogramFirst choices, of twelve modelsIvalua
Direct011 against Ivalua
Paraphrase30
Comparative00
Budget-constrained40
Scale-constrained011 against Ivalua
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, Tradogram and Ivalua were named in the same answer twenty times, of the 148 answers naming Tradogram and the 208 naming Ivalua. In those answers Ivalua took the first choice zero times and Tradogram four.

Every model, every framing

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

The direct prompt

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

Ivalua first, Tradogram not the choice

1 of 12 modelsTradogram 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

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
GPT-5.4 miniProcurify alternatives: Archlet, Coupa, Ivalua, SAP Ariba
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

Neither was named

6 of 12 modelsThe answer made no first choice from these two in this category.
Gemini 3.5 FlashWorkday Strategic Sourcing alternatives: Archlet, Market Dojo, Tropic, Zip
Perplexity SonarGEP SMART alternatives: Bonfire, Precoro, Procol
Llama 4 MaverickGEP SMART alternatives: Coupa, Jaggaer, Keelvar, Zycus
Qwen 3.7 FlashGEP SMART alternatives: Coupa, Jaggaer, Procol, ProcurePort, Zycus
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
Tradogram leads by forty-five points.
Tradogram45%#1 of 12
Ivalua0%#– of 12
The full small business standing →
Mid-marketThe figures above
Tradogram leads by eleven points.
Tradogram15%#2 of 11
Ivalua4%#5 of 11
The full mid-market standing →
Enterprise
Tradogram is not named for this buyer.
Ivalua8%#3 of 7
Tradogramnot named
The full enterprise standing →

What the models said about Tradogram

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

“I'd recommend starting with Tradogram or Prokuria as they offer strong e-sourcing and RFP functionality without enterprise-level pricing” MiniMax M2.5 · paraphrase prompt · first choice
“Recommended as the best for SMB (small and medium-sized business) sourcing, offering features tailored to smaller budgets” Mistral Small · budget 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. 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
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.