Treasury management systems
Asked as “treasury management system”, and as “TMS”, on behalf of a mid-market B2B company. 53 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
28%
Contested · Agicap 15%
28Trovata15Agicap06GTreasury51others
28% of first choices, contested.
Since September 2026▲+10Since September 2026: 18% → 28%, +10 points. Inside the 10-point floor: within noise. Read over the models both editions asked.Trovata held the lead, +10 points on 18%, inside the 10-point 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.This pageEnterprise
Kyriba35%Contested▼−13Since September 2026: 47% → 34%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.Standing →
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.This pageEnterpriseKyriba35%Contested▼−13Since September 2026: 47% → 34%, −13 points. Past the 10-point floor: movement. Read over the models both editions asked.Standing →The standing
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. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Trovata28%12%41accepted challenger▲+10Since September 2026: 18% → 28%, +10 points. Inside the 10-point floor: within noise. Read over the models both editions asked.18% → 28%
Trovata28%12%41accepted challenger▲+10Since September 2026: 18% → 28%, +10 points. Inside the 10-point floor: within noise. Read over the models both editions asked.18% → 28%02Agicap15%20%25accepted challenger▲+4Since September 2026: 11% → 15%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.11% → 15%
Agicap15%20%25accepted challenger▲+4Since September 2026: 11% → 15%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.11% → 15%03
GTreasury6%35%26criticized challenger=heldSince September 2026: 7% → 7%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 7%
GTreasury6%35%26criticized challenger=heldSince September 2026: 7% → 7%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 7%04
Rho Treasury4%0%12accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%
Rho Treasury4%0%12accepted challenger▲+4Since September 2026: 0% → 4%, +4 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 4%05Kyriba4%43%53criticized challenger▼−5Since September 2026: 9% → 4%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 4%
Kyriba4%43%53criticized challenger▼−5Since September 2026: 9% → 4%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.9% → 4%06
TreasuryView2%9%11accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 2%
TreasuryView2%9%11accepted challenger▼−5Since September 2026: 7% → 2%, −5 points. Inside the 10-point floor: within noise. Read over the models both editions asked.7% → 2%Show the four products at 0%, ordered by negative rate
10
SAP Treasury and Risk Management0%54%28criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
SAP Treasury and Risk Management0%54%28criticized 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
ION Treasury0%30%23criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 10-point floor: within noise. Read over the models both editions asked.0% → 0%
ION Treasury0%30%23criticized 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%25%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%
FIS Quantum0%25%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%07
Nomentia0%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%
Nomentia0%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.
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% negative40%
Key
01Trovata28%
Trovata28%02Agicap15%
Agicap15%03GTreasury6%
GTreasury6%04Rho Treasury4%
Rho Treasury4%05Kyriba4%
Kyriba4%06TreasuryView2%
TreasuryView2%07Nomentia0%
Nomentia0%08ION Treasury0%
ION Treasury0%09FIS Quantum0%
FIS Quantum0%10SAP Treasury and Risk Management0%
SAP Treasury and Risk Management0%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, 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, 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.
Kyriba43%
23 of 53 labels negative · 12 of 14 models · 5 hard negative
“traditional enterprise Treasury Management Systems (TMS) like Kyriba, FIS Integrity, or ION Treasury are generally out of reach” Gemini 3.5 Flash, budget prompt
SAP Treasury and Risk Management54%
15 of 28 labels negative · 9 of 14 models · 3 hard negative
“Who should avoid: Mid-market treasuries, startups, or teams without a dedicated SAP Basis/admin team.” DeepSeek V4 Flash, negative prompt
GTreasury35%
9 of 26 labels negative · 7 of 14 models · 2 hard negative
“**Avoid enterprise solutions** like Kyriba, SAP, or GTreasury if you're on a limited budget” Kimi K2, budget prompt
ION Treasury30%
7 of 23 labels negative · 5 of 14 models · 2 hard negative
“you should avoid heavy enterprise legacy systems (like ION Treasury or Wall Street Suite)” Gemini 3.5 Flash, scale 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
79 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. 1085 links across 221 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 · DebtBook31 answers · 35 citations · 12 models
vendor site · Eco30 answers · 30 citations · 11 models
vendor site · G227 answers · 55 citations · 12 models
26 answers · 43 citations · 10 models
26 answers · 36 citations · 12 models
vendor site · Rho26 answers · 30 citations · 11 models
vendor site · Ripple23 answers · 31 citations · 11 models
vendor site · Centime17 answers · 23 citations · 10 models
vendor site · HighRadius16 answers · 20 citations · 9 models
vendor site · Eftsure15 answers · 16 citations · 9 models
vendor site · Nomentia15 answers · 16 citations · 9 models
vendor site · Guideflow15 answers · 15 citations · 9 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.
30 answers · 12 models
30 answers · 11 models
26 answers · 11 models
22 answers · 11 models
21 answers · 10 models
20 answers · 9 models
15 answers · 9 models
14 answers · 7 models
13 answers · 9 models
12 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 |
|---|---|---|---|---|---|---|---|---|
| Trovata trovata.io | 28% | 118 | 2,900 | 89 | 1,685 | 6 | ||
| Agicap agicap.com | 15% | 111 | 590 | 5 | 31,998 | 22 | ||
| GTreasury gtreasury.com | 6% | 105 | 1,900 | 41 | 82 | 0 | ||
| Rho Treasury rho.co | 4% | 45 | 170 | 1 | 182,562 | $416 | 2 | |
| Kyriba kyriba.com | 4% | 244 | 4,400 | 155 | 38,514 | 45 | 2 | |
| 3Gtms | 4% | |||||||
| MercuryGate infios.com MercuryGate 2%, MercuryGate TMS 2% | 4% | 9 | 1,000 | 26 | ||||
| TreasuryView treasuryview.com | 2% | 19 | 20 | 0 | 2,270 | |||
| Centime centime.com | 2% | 45 | 1,300 | 197 | 1,695 | |||
| FreightPOP freightpop.com | 2% | 5 |
Google's top ten for the three searches hold 20 sites; 5 of them are among the sites the models cited here (debtbook.com, gartner.com, highradius.com, nomentia.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 a mid-market B2B company?”Paraphrase“Which TMS would you recommend to a mid-sized B2B company?”Comparative“What are the top treasury management systems and how do they differ?”Budget-constrained“What is the best treasury management system for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a treasury management system. What should we look at?”Negative“Which treasury management systems should I avoid or be cautious about?”
Claude Haiku 4.5Trovataagainst: Kyriba, SAP Treasury and Risk Managementno first choiceChangedKyribaRho Treasuryno first choiceagainst: High Radius, Kyriba, Ripple Treasury, Tesorio
Six alternatives
Agicap, Centime, FIS Integrity, HighRadius, Ripple Treasury, TreasuryViewSix alternatives
GTreasury, HighRadius, ION Treasury, Nomentia, Tesorio, TrovataFour alternatives
Centime, Fygr, Pennylane, TreasuryViewGPT-5.4 miniKyribaManhattan Active Transportation ManagementChangedagainst: Oracle Transportation ManagementKyribaAgicapagainst: Kyriba, Oracle Treasuryno first choicenothing named
Three alternatives
Cegid Treasury, Treasury Intelligence Solutions, TrovataOne alternative
SAP Transportation ManagementTwo alternatives
FIS Treasury and Risk Manager, GTreasuryOne alternative
TreasuryViewGemini 3.5 FlashTrovataagainst: FIS Quantum, SAP Treasury and Risk ManagementShipwellChangedagainst: Oracle Transportation Management, SAP TMKyribaagainst: ION TreasuryTrovataagainst: FIS Integrity, ION Treasury, KyribaTrovataagainst: ION Treasury, Wall Street Suiteagainst: City Financials, FIS Quantum, GTreasury, IT2, Kyriba, Openlink, Oracle Treasury, Reval, SAP Treasury and Risk Management, Treasura, Wallstreet Suite
Three alternatives
Agicap, Centime, KyribaFour alternatives
3Gtms, GoComet, MyCarrier, Princeton TMXFive alternatives
DebtBook, FIS Treasury, HighRadius, Ripple Treasury, TrovataFour alternatives
Agicap, Cobase, Concourse, TreasuryViewSix alternatives
Agicap, Centime, Cobase, Embat, Kyriba, NomentiaPerplexity SonarTrovataTrovataHeldKyribaAgicapagainst: GTreasury, Kyriba, Trovatano first choicenothing named
Three alternatives
Agicap, Kyriba, NilusTwo alternatives
3Gtms, Descartes Shipper TMSFour alternatives
DebtBook, FIS, GTreasury / Ripple Treasury, TrovataTwo alternatives
Rho Treasury, TesorioGrok 4.1 FastTrovataagainst: ION TreasuryRose RocketChangedagainst: Oracle Transportation Management, SAP TMKyribaAgicapGTreasury, Kyriba, Rippleagainst: Finastra, SAP Treasury and Risk Managementagainst: FIS, GTreasury / Ripple Treasury, Kyriba, Qotid
Two alternatives
GTreasury, KyribaFour alternatives
3Gtms, Alvys, PCS, Trimble TMWFour alternatives
FIS Quantum, ION Treasury, Ripple Treasury, SAP Treasury and Risk ManagementThree alternatives
Atlar, Embat, TrovataTwo alternatives
ION Treasury, NomentiaMistral SmallTrovataDescartesChangedKyribaMonitr, TreasuryXpressno first choiceagainst: Coupa Treasury, TIS
One alternative
GTreasuryThree alternatives
E2open, Kinaxis, TrimbleFour alternatives
FIS, HighRadius, ION Treasury, SAP Treasury and Risk ManagementTwo alternatives
Agicap, RelayDeepSeek V4 FlashTrovataagainst: KyribaFreightPOPChangedagainst: Blue Yonder, Manhattan Active TMSKyribaMercury, Rho Treasuryagainst: GTreasury, KyribaGTreasuryagainst: Agicap, FIS Integrity, GTreasury, IT2, Kyriba, Round Treasury, SAP Treasury and Risk Management, SunGard/Prophix, Trovata
Two alternatives
GTreasury, NomentiaTwo alternatives
3Gtms, KuebixEight alternatives
FIS Treasury, GTreasury, ION Treasury, Modern Treasury, Nomentia, Oracle Treasury, SAP Treasury and Risk Management, TrovataThree alternatives
Agicap, Excel, TrovataThree alternatives
Embat, Kyriba, TrovataLlama 4 MaverickTrovatano first choiceChangedno first choiceno first choiceno first choicenothing named
One alternative
GTreasuryQwen 3.7 FlashAgicapagainst: Oracle Core, SAP Treasury and Risk Managementno first choiceChangedGTreasury, KyribaAgicapagainst: Kyriba, SAP Treasury and Risk Managementno first choiceagainst: GTreasury, Kyriba
Three alternatives
Kyriba, Treasura, TrovataFour alternatives
Oracle Financial Services, SAP Treasury and Risk Management, Salmon, TrovataFour alternatives
Concourse, Mercury, Rho Treasury, TrovataKimi K2Trovataagainst: Coupa Treasury3GtmsChangedKyribaAgicapagainst: GTreasury, Kyriba, SAP Treasury and Risk ManagementAgicap, Centime, Fyorin, Tesorio, Trovataagainst: ION Treasury, Kyriba, SAP Treasury and Risk Managementagainst: Agicap, FIS Integrity, GTreasury, Kyriba, SAP Treasury and Risk Management, TreasuryView, Trovata
Three alternatives
GTreasury, Kyriba, NomentiaFour alternatives
Freightview, Kuebix TMS, MercuryGate, ShipwellEight alternatives
FIS Quantum, GTreasury / Ripple Treasury, ION Treasury, Modern Treasury, SAP Treasury and Risk Management, Salmon Treasurer, TreasuryXpress, TrovataFive alternatives
Modern Treasury, Ramp, TreasuryView, Trovata, ZenTreasuryThree alternatives
Microsoft Dynamics 365, NetSuite, SageGLM 4.7 FlashXTrovataagainst: Kyriba3GtmsChangedagainst: MercuryGateION Treasury, KyribaTrezyagainst: GTreasury, Kyriba, Nomentia, SAP Treasury and Risk Managementno first choiceagainst: Kyriba, SAP Treasury and Risk Management
Two alternatives
Embat, Modern TreasuryOne alternative
Echo Global LogisticsThree alternatives
Agicap, Murex, SAP Treasury and Risk ManagementThree alternatives
Agicap, Fygr, Rho TreasuryFour alternatives
Agicap, GTreasury, HighRadius, TrovataMiniMax M2.5GTreasury, TISDescartes TMS, MercuryGateChangedno first choiceTreasuryViewno first choiceagainst: Agicap, Kyriba
Three alternatives
Nomentia, Serrala, TrovataThree alternatives
Echo Global, Trimble TMS, Uber FreightTwo alternatives
Agicap, TrovataGPT-6 LunaTrovataKuebixChangedGTreasury, KyribaPulseagainst: Trovatano first choiceagainst: Agicap, ION Treasury, Kyriba, SAP Treasury and Risk Management
Two alternatives
Kyriba, Ripple TreasuryOne alternative
FreightPOPSix alternatives
FIS Quantum, ION Treasury, Oracle Cloud financials / Cash Management, SAP Treasury and Risk Management, TIS, TrovataOne alternative
FloatMuse Glimmer 30BTrovata, Vestoagainst: KyribaMercuryGate TMSChangedagainst: ShipBobKyribaAgicapagainst: FIS Quantum, GTreasury, ION Treasury, Kyriba, SAP Treasury and Risk Managementno first choiceagainst: Agicap, Coupa Treasury, Kyriba, SAP Treasury and Risk Management, TIS, Trovata
One alternative
GTreasurySeven alternatives
3Gtms, Blue Yonder, FreightPOP, Kuebix, Manhattan Active TMS, Oracle Transportation Management, SAP Transportation ManagementEight alternatives
FIS Quantum, FIS Treasury and Risk Manager, ION Treasury, Modern Treasury, Oracle Treasury, Ripple Treasury (formerly GTreasury, SAP Treasury and Risk Management, TrovataOne alternative
CentimeBold 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 09:10 | yes | 9 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:03 | yes | 4 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:20 | yes | 28 | 28 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 10:54 | yes | 18 | 2 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:26 | yes | 22 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:20 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:35 | yes | 17 | 20 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:29 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:46 | yes | 9 | 41 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:09 | yes | 10 | 20 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:36 | yes | 19 | 45 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:31 | yes | 8 | 29 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:01 | yes | 3 | 20 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:08 | yes | 13 | 20 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:10 | no | 0 | 2 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:04 | yes | 3 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 10:41 | yes | 15 | 25 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 08:06 | yes | 19 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:57 | yes | 25 | 8 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:08 | yes | 9 | 5 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:20 | yes | 22 | 38 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:51 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:50 | yes | 10 | 39 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 11:03 | yes | 17 | 22 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:20 | yes | 14 | 89 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 07:59 | yes | 16 | 48 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:35 | yes | 2 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:23 | yes | 14 | 39 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:25 | yes | 16 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:46 | yes | 5 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:19 | yes | 16 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 09:50 | yes | 16 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:04 | yes | 22 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:37 | yes | 10 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:36 | yes | 21 | 36 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:58 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:52 | yes | 13 | 49 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:19 | yes | 21 | 36 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:42 | yes | 22 | 141 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:58 | yes | 10 | 13 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:29 | yes | 9 | 38 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:14 | yes | 12 | 25 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:24 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 10:59 | yes | 3 | 5 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:56 | yes | 14 | 17 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 10:03 | yes | 17 | 5 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:37 | yes | 21 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:17 | yes | 14 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:33 | yes | 22 | 32 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:53 | yes | 5 | 1 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:35 | yes | 6 | 33 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:02 | yes | 18 | 20 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:17 | yes | 22 | 49 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:02 | yes | 12 | 35 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:53 | yes | 3 | 15 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 07:49 | yes | 21 | 35 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:40 | yes | 18 | 10 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 08:03 | no | 0 | 8 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:45 | yes | 9 | 21 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 10:37 | yes | 20 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 09:23 | yes | 20 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:11 | no | 0 | 9 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 09:22 | yes | 22 | 31 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 11:20 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:34 | no | 0 | 34 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:50 | yes | 10 | 31 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 08:38 | yes | 24 | 106 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:04 | no | 0 | 42 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 10:01 | yes | 4 | 22 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 09:08 | yes | 14 | 23 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 10:43 | yes | 18 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:59 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 11:25 | yes | 18 | 21 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 09:58 | yes | 18 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:02 | yes | 22 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 07:54 | yes | 5 | 4 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 08:20 | yes | 23 | 43 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 08:09 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:57 | yes | 14 | 61 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:05 | yes | 24 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:24 | yes | 23 | 103 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 09:00 | yes | 14 | 21 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 08:41 | yes | 2 | 16 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:00 | yes | 22 | 29 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
ION read as ION Treasury
ION Group read as ION Treasury
Oracle 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 (SAP Treasury and Risk Management) read as SAP Treasury and Risk Management
SAP Treasury read as SAP Treasury and Risk Management
Unresolved, counted raw
AccessPay
Alpega TMS
Baader
Cegid Treasury
City Financials
Descartes Shipper TMS
Descartes TMS
Echo Global
Echo Global Logistics
GoComet
High Radius
Logility
McLeod
MercuryGate TMS
Murex (MX.3)
Okimia
Openlink
Oracle Cloud financials / Cash Management
Oracle Core
PCS
Princeton TMX
Qotid
SAP S/4HANA TM
Salmon Treasurer (Salmon Software)
ShipBob
SunGard/Prophix
Trimble
Trimble TMS
Trimble TMW
Uber Freight (Transplace)
Wall Street Suite
Discontinued, still offered
No shut-down product was recommended here.