Treasury management systems for enterprise buyers
Asked as “treasury management system”, and as “TMS”, on behalf of an enterprise B2B company. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
35%
Contested · HighRadius 12%
35Kyriba12HighRadius10GTreasury42others
35% of first choices, contested.
Since September 2026▼−13Since September 2026: 47% → 34%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.Kyriba held the lead, −13 points on 47%, past the floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Agicap19%Contested▼−5Since September 2026: 21% → 16%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-market
Trovata28%Contested▲+10Since September 2026: 18% → 28%, +10 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Enterprise
Kyriba35%Contested▼−13Since September 2026: 47% → 34%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.This page
Agicap19%Contested▼−5Since September 2026: 21% → 16%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketTrovata28%Contested▲+10Since September 2026: 18% → 28%, +10 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Standing →EnterpriseKyriba35%Contested▼−13Since September 2026: 47% → 34%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Kyriba35%24%58endorsed leader▼−13Since September 2026: 47% → 34%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.47% → 34%
Kyriba35%24%58endorsed leader▼−13Since September 2026: 47% → 34%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.47% → 34%02
HighRadius12%18%22accepted challenger▲+9Since September 2026: 6% → 15%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 15%
HighRadius12%18%22accepted challenger▲+9Since September 2026: 6% → 15%, +9 points. Inside the 10-point floor: within noise. Read over the models both editions asked.6% → 15%03
GTreasury10%18%33accepted challenger▲+2Since September 2026: 8% → 10%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 10%
GTreasury10%18%33accepted challenger▲+2Since September 2026: 8% → 10%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.8% → 10%04
SAP Treasury and Risk Management2%24%42accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
SAP Treasury and Risk Management2%24%42accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%05
ION Treasury2%25%32criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%
ION Treasury2%25%32criticized challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.2% → 2%06
Oracle Treasury2%25%12criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Oracle Treasury2%25%12criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%07Trovata2%39%18criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%
Trovata2%39%18criticized challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 2%Show the three products at 0%, ordered by negative rate
10
Coupa Treasury0%67%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Coupa Treasury0%67%12criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%09
FIS Quantum0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
FIS Quantum0%20%10accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%08
Ripple Treasury0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
Ripple Treasury0%7%14accepted challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%The floor is 10 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
All fifteen head-to-head pages: the top six products, each against each
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
01020304050607080910Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Kyriba35%
Kyriba35%02HighRadius12%
HighRadius12%03GTreasury10%
GTreasury10%04SAP Treasury and Risk Management2%
SAP Treasury and Risk Management2%05ION Treasury2%
ION Treasury2%06Oracle Treasury2%
Oracle Treasury2%07Trovata2%
Trovata2%08Ripple Treasury0%
Ripple Treasury0%09FIS Quantum0%
FIS Quantum0%10Coupa Treasury0%
Coupa Treasury0%What they warned about
One of fourteen models held their first choice under the paraphrase. 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, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Kyriba24%
14 of 58 labels negative · 13 of 14 models · 1 hard negative
“"Avoid: Big-name enterprise platforms (Kyriba, GTreasury, FIS Integrity)."” GLM 4.7 FlashX, negative prompt
SAP Treasury and Risk Management24%
10 of 42 labels negative · 10 of 14 models · 1 hard negative
“What to Avoid: Using a Standard ERP Module as a Sole TMS” Qwen 3.7 Flash, negative prompt
ION Treasury25%
8 of 32 labels negative · 7 of 14 models
“traditional leaders like SAP, FIS, and ION require 12-24 month implementations and lag significantly on AI innovation” Claude Haiku 4.5, comparative prompt
Coupa Treasury67%
8 of 12 labels negative · 6 of 14 models · 1 hard negative
“Systems like Coupa Treasury are more focused on payment hubs rather than full treasury platforms. They may lack the depth required for comprehensive treasury management” Mistral Small, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 1077 links across 234 sites, every framing counted. Ranked by the number of answers carrying the site or page. 17 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Eco39 answers · 39 citations · 11 models
vendor site · Ripple37 answers · 50 citations · 13 models
vendor site · DebtBook34 answers · 37 citations · 12 models
29 answers · 44 citations · 11 models
vendor site · Guideflow27 answers · 27 citations · 10 models
22 answers · 24 citations · 11 models
vendor site · HighRadius21 answers · 29 citations · 9 models
20 answers · 35 citations · 10 models
vendor site · G219 answers · 29 citations · 11 models
vendor site · Rho18 answers · 18 citations · 9 models
vendor site · Agicap16 answers · 17 citations · 8 models
15 answers · 29 citations · 11 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
39 answers · 11 models
33 answers · 12 models
30 answers · 12 models
24 answers · 10 models
23 answers · 11 models
19 answers · 9 models
18 answers · 9 models
18 answers · 9 models
15 answers · 11 models
13 answers · 7 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best treasury management system”, “treasury management system”, “treasury management systems”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Kyriba kyriba.com | 35% | 244 | 4,400 | 155 | 38,514 | 45 | 2 | |
| HighRadius highradius.com HighRadius 12%, HighRadius Treasury Management 2% | 15% | 691 | 6,600 | 118 | 294,561 | $2,272 | 120 | 2 |
| GTreasury gtreasury.com | 10% | 105 | 1,900 | 41 | 82 | 0 | ||
| Oracle parent site Oracle Transportation Management 8%, Oracle Treasury 2% | 10% | 25 | 450,000 | 66,611 | ||||
| SAP Treasury sap.com SAP Treasury and Risk Management 2%, SAP Transportation Management 2%, SAP S/4HANA 2% | 6% | 178 | 110 | 7 | 2,214,514 company | $1,251 | 23 | |
| Treasury4 treasury4.com | 4% | 2 | 9 | |||||
| ION iongroup.com ION Treasury 2%, ION Treasury Wallstreet Suite 2% | 4% | 72 | 70 | 0 | 11,394 company | 0 | ||
| Workday workday.com | 2% | 29 | 1,220,000 | 23,848 | 2,213,450 | 80 | ||
| DebtBook debtbook.com | 2% | 25 | 2,400 | 13 | 61,417 | $1,427 | 21 | 8 |
| Oracle Transportation Management, OTM | 2% |
Google's top ten for the three searches hold 20 sites; 4 of them are among the sites the models cited here (debtbook.com, gartner.com, highradius.com, treasury.ripple.com). The first result for “best treasury management system” is linkedin.com.
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.ShowHide
How they answered
Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ShowHideModelDirect“What is the best treasury management system for an enterprise B2B company?”Paraphrase“Which TMS would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade treasury management systems and how do they differ?”Budget-constrained“What is the best treasury management system for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a treasury management system. What should we look at?”Negative“Which treasury management systems should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5GTreasury, Kyribano first choiceChangedGTreasury, Kyribaagainst: FIS, ION Treasury, SAP Treasury and Risk ManagementDebtBook, Rho Treasuryagainst: Kyribano first choiceagainst: Cobase, Coupa Treasury, FIS Integrity, FIS Treasury and Risk Manager, HighRadius, ION Treasury, Tesorio
Two alternatives
HighRadius, ION TreasuryTwo alternatives
Cobase, HighRadiusGPT-5.4 miniKyribaSmartlingChangedKyribaagainst: Coupa Treasury, HighRadiusKyribaagainst: Coupa Treasury, Tijorino first choiceagainst: Kyriba
Three alternatives
Coupa Treasury, SAP Treasury and Risk Management, TrovataThree alternatives
LILT, Phrase, TransPerfect GlobalLinkTwo alternatives
FIS Treasury and Risk Manager, SAP Treasury and Risk ManagementOne alternative
GTreasuryGemini 3.5 FlashKyribano first choiceChangedKyribaOracle Treasury, SAP S/4HANA, Treasury4no first choiceagainst: GTreasury, Kyribaagainst: Agicap, Coupa Treasury, Hazeltree, ION Treasury, Nomentia, Oracle Financials Treasury, SAP Treasury and Risk Management, Trovata
Four alternatives
FIS, HighRadius, SAP Treasury and Risk Management, TrovataFive alternatives
Coupa Treasury, FIS Treasury, ION Treasury, Ripple Treasury, SAP Treasury and Risk ManagementOne alternative
KyribaPerplexity SonarHighRadius, KyribaION TreasuryChangedFIS Treasury, KyribaSAP Treasury and Risk Managementagainst: GTreasury, Kyribano first choicenothing named
Three alternatives
FIS, Ripple Treasury, SAP Treasury and Risk ManagementTwo alternatives
GTreasury, KyribaFive alternatives
GTreasury, ION Treasury, Oracle Treasury, SAP Treasury and Risk Management, TrovataTwo alternatives
FIS Integrity / Quantum Cloud, ION Treasury Wallstreet SuiteGrok 4.1 FastKyribaagainst: Ripple TreasuryOracle Transportation ManagementChangedKyribaKyribaagainst: Rho Treasury, Trovatano first choiceagainst: Agicap, Coupa Treasury, GTreasury, ION Treasury, Kyriba, Oracle Cash Management, Reval, SAP Treasury and Risk Management, TIS
Two alternatives
GTreasury, ION TreasuryTwo alternatives
Manhattan Active Transportation Management, SAP Transportation ManagementFour alternatives
FIS Quantum, ION Treasury, Ripple Treasury, SAP Treasury and Risk ManagementTwo alternatives
FIS Quantum, GTreasury / Ripple TreasuryFour alternatives
GTreasury, HighRadius, ION Treasury, KyribaMistral SmallHighRadius, ION Treasury Wallstreet SuiteSAP Transportation ManagementChangedKyribaGTreasury, Kyribano first choiceagainst: Coupa Treasury, GTreasury, Kyriba
Three alternatives
GTreasury, Kyriba, SAP Treasury and Risk ManagementTwo alternatives
Descartes Systems Group, Oracle Transportation ManagementFive alternatives
FIS, GTreasury, HighRadius, ION Treasury, SAP Treasury and Risk ManagementThree alternatives
Rho Treasury, SAP Treasury and Risk Management, TrovataDeepSeek V4 FlashHighRadius, KyribaOracle Transportation ManagementChangedGTreasury, Kyribaagainst: Coupa Treasury, HighRadiusKyribaagainst: Modern Treasury, Trovatano first choiceagainst: Coupa Treasury, FIS Quantum, HighRadius, ION Treasury, Misys, Modern Treasury, Oracle Treasury, SAP Treasury and Risk Management, TIS, Trovata
Three alternatives
FIS Quantum, ION Treasury, Ripple TreasuryThree alternatives
Blue Yonder Transportation Management, Manhattan Active Transportation Management, SAP Transportation ManagementFour alternatives
FIS Treasury, ION Treasury, Oracle Treasury, SAP Treasury and Risk ManagementTwo alternatives
GTreasury, SAP Treasury and Risk ManagementLlama 4 Maverickno first choiceHighRadiusChangedno first choiceno first choiceno first choiceagainst: FIS Integrity, ION Treasury, Kyriba, SAP Treasury and Risk Management, TIS
Two alternatives
Descartes, Oracle Transportation ManagementOne alternative
TrovataQwen 3.7 FlashKyribaKyribaHeldKyribaKyribano first choiceagainst: FIS Quantum, GTreasury, ION Wallstreet Suite, Kyriba, Oracle Treasury, SAP Treasury and Risk Management
Five alternatives
BlackLine, HighRadius, Midori, Oracle Financials Cloud, SAP S/4HANATwo alternatives
FIS, HighRadiusFour alternatives
Emagio, GTreasury, ION Treasury, Oracle Transportation ManagementFive alternatives
Baan, FIS, Oracle Transportation Management, SAP Treasury and Risk Management, WorkivaKimi K2HighRadius Treasury Management, KyribaOracle Transportation ManagementChangedKyribaGTreasuryagainst: Kyribano first choiceagainst: FIS Integrity, Kyriba, SAP Treasury and Risk Management, Trovata
Three alternatives
GTreasury, ION Treasury Wallstreet Suite, SAP Treasury and Risk ManagementFour alternatives
Blue Yonder TMS, E2open TMS, Manhattan Associates TMS, SAP Transportation ManagementFour alternatives
ION Treasury, Oracle Treasury, Ripple Treasury, SAP Treasury and Risk ManagementTwo alternatives
ION Treasury, SAP Treasury and Risk ManagementGLM 4.7 FlashXHighRadiusOracle Transportation ManagementChangedKyribaTrovatano first choiceagainst: FIS Integrity, GTreasury, Kyriba
Two alternatives
ION Treasury Wallstreet Suite, KyribaThree alternatives
Descartes 3G TMS, E2open, SAP Transportation ManagementThree alternatives
FIS Treasury and Risk Manager, ION Treasury, Ripple TreasuryThree alternatives
Kyriba, Modern Treasury, SAP Treasury and Risk ManagementMiniMax M2.5HighRadiusGTreasuryChangedGTreasury, KyribaTreasuryCubeagainst: FIS, ION Treasury, Kyriba, SAP Treasury and Risk Managementno first choicenothing named
Three alternatives
Kyriba, Ripple Treasury, TrovataTwo alternatives
Oracle Transportation Management, SAP TMFour alternatives
FIS Treasury and Risk Manager, ION Treasury, Oracle Treasury, SAP Treasury and Risk ManagementThree alternatives
Brex Treasury, HighRadius, Ripple TreasuryGPT-6 LunaKyribaWorkdayChangedGTreasury, KyribaTreasury4against: Trovatano first choiceagainst: FIS Treasury, Kyriba, SAP Treasury and Risk Management, Trovata
Three alternatives
GTreasury, ION Treasury, TISTwo alternatives
Oracle Fusion HCM, SAP SuccessFactorsFour alternatives
FIS Treasury, ION Treasury, SAP Treasury and Risk Management, TISTwo alternatives
GTreasury, KyribaMuse Glimmer 30BKyribaOracle Transportation Management, OTMChangedKyribaGTreasury, Kyribano first choiceagainst: FIS Treasury and Risk Manager, GTreasury / Ripple Treasury, ION Treasury, Kyriba, Oracle Treasury, SAP Treasury and Risk Management
Three alternatives
Oracle Treasury, Ripple Treasury, SAP Treasury and Risk ManagementTwo alternatives
Blue Yonder TMS, SAP Transportation Management, SAP TMFive alternatives
GTreasury, ION Treasury family, Oracle Treasury, Ripple Treasury (formerly GTreasury, SAP Treasury and Risk ManagementTwo alternatives
ION Treasury, SAP Treasury and Risk ManagementBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:04 | yes | 14 | 8 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:58 | yes | 3 | 10 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:24 | yes | 15 | 24 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:19 | yes | 17 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:18 | yes | 23 | 7 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 09:50 | yes | 9 | 5 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:55 | yes | 20 | 26 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:59 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:42 | no | 0 | 34 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 07:54 | yes | 15 | 23 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:54 | yes | 21 | 22 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:26 | yes | 17 | 42 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:01 | yes | 4 | 14 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:05 | yes | 11 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:00 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:30 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:24 | yes | 15 | 22 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 10:22 | yes | 17 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:08 | yes | 19 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:59 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:51 | yes | 23 | 44 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:40 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:06 | yes | 5 | 32 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:38 | yes | 20 | 25 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:31 | yes | 20 | 95 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:59 | yes | 5 | 30 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:40 | yes | 2 | 8 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:01 | yes | 14 | 17 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:21 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:48 | yes | 5 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:47 | yes | 27 | 30 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:34 | yes | 20 | 6 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:16 | yes | 19 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:01 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:20 | yes | 22 | 47 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:09 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:21 | yes | 12 | 32 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:17 | yes | 17 | 27 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:32 | yes | 19 | 48 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:46 | yes | 24 | 41 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:00 | yes | 7 | 38 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:33 | yes | 22 | 39 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:06 | yes | 16 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:41 | yes | 3 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 08:03 | yes | 13 | 31 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 08:03 | yes | 20 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:14 | yes | 14 | 12 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:03 | yes | 5 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:32 | yes | 18 | 31 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:59 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:48 | no | 0 | 40 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:50 | yes | 17 | 37 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:27 | yes | 22 | 44 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:47 | yes | 13 | 24 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:29 | yes | 3 | 21 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:30 | yes | 17 | 37 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:20 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:12 | yes | 2 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:31 | no | 0 | 20 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:30 | yes | 17 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:28 | yes | 20 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:21 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 10:38 | yes | 23 | 38 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:14 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:19 | no | 0 | 35 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:21 | yes | 21 | 40 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 09:17 | yes | 18 | 28 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:14 | no | 0 | 59 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:05 | yes | 3 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:44 | yes | 23 | 30 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:26 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:57 | yes | 5 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:00 | yes | 24 | 28 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 08:56 | yes | 18 | 3 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:47 | yes | 22 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:54 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:28 | yes | 23 | 76 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:23 | yes | 5 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:55 | yes | 16 | 67 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:56 | yes | 23 | 25 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:33 | yes | 24 | 140 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:02 | yes | 23 | 66 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:02 | yes | 4 | 29 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:14 | yes | 23 | 32 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Coupa read as Coupa Treasury
ION read as ION Treasury
Oracle read as Oracle Treasury
Oracle Cash and Treasury Management read as Oracle Treasury
Oracle Cloud ERP read as Oracle Treasury
Oracle Treasury Management read as Oracle Treasury
Rho read as Rho Treasury
SAP read as SAP Treasury and Risk Management
SAP Treasury read as SAP Treasury and Risk Management
Unresolved, counted raw
BELLIN
Descartes 3G TMS
Descartes Systems Group
E2open TMS
Emagio
FIS Treasury Management
HighRadius Treasury Management
ION Treasury family
LILT
Manhattan Associates TMS
Midori
Misys (now Finastra Opera)
Oracle Financials Treasury
Oracle Fusion HCM
Oracle Transportation Management, OTM
Ripple Treasury powered by GTreasury
SAP Transportation Management, SAP TM
SDL Trados
Tijori
TransPerfect GlobalLink
TreasuryCube
Uber Freight TMS
XTM International
memoQ
Discontinued, still offered
No shut-down product was recommended here.