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Index › Treasury and cash › Cash flow forecasting › Cash Flow Frog vs Cube
Cash flow forecasting · October 2026 Edition

Cash Flow Frog vs Cube

Zero of fourteen models named Cash Flow Frog first on the direct prompt; three named Cube. Cash Flow Frog was named by thirteen of the fourteen models and Cube by twelve and both carry 21 labels, so the shares below are directly comparable.

Cash Flow Frog

accepted challenger

Named in one category this edition.

Cube

accepted challenger

Named in eight categories this edition.

First-choice share8%6%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate10%5%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#3#6A position in a field of 15; printed, not drawn.
Labels2121Equal, which is what makes the shares comparable.
The two percentage rows are drawn on one 0 to 100 track, Cash Flow Frog reading right to left. Rank and label count are printed, not drawn.Chaser was named alongside these two in eight of the fourteen direct answers. Agicap vs Cash Flow Frog · Agicap vs Cube · Float vs Cash Flow Frog

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the cash flow forecasting page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
Cash Flow FrogFirst choices, of fourteen modelsCube
Direct03
Paraphrase00
Comparative10
Budget-constrained40
Scale-constrained001 against Cash Flow Frog
Negative001 against Cash Flow Frog · 1 against Cube
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Cash Flow Frog and Cube 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
GPT-6 Luna
Muse Glimmer 30B
Cash Flow Frog Cube first choice named as an alternative argued againstblank: not namedEach cell is one answer, Cash Flow Frog on the left and Cube on the right.

The direct prompt

The plain question, one answer per model, grouped by where Cash Flow Frog and Cube stood in it.

Cube first, Cash Flow Frog not the choice

3 of 14 modelsCash Flow Frog was named in the answer but not as the choice, or not at all.
Mistral SmallChaser, Cube alternatives: Prophix One, Tesorio
Llama 4 MaverickCube
GLM 4.7 FlashXCube alternatives: Abacum, HighRadius

Neither was the first choice, one was named

6 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Upflow alternatives: Abacum, Chaser, Cube, Tesorio
Gemini 3.5 FlashTesorio alternatives: Agicap, Centime, Cube, Nilus, Trovata
Perplexity SonarAgicap alternatives: Chaser, Cube, Upflow
Qwen 3.7 FlashAgicap alternatives: Chaser, Cube, Tesorio
Kimi K2Chaser alternatives: Abacum, Cube, Fathom, Upflow
GPT-6 LunaCentime alternatives: Cube, Jirav, Planful, Tesorio

Neither was named

5 of 14 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniAgicap alternatives: Datarails, Kyriba, Vena
Grok 4.1 FastChaser alternatives: Drivetrain, Float, Jirav
DeepSeek V4 FlashTesorio alternatives: Agicap, Chaser, Float, Vena
MiniMax M2.5Upflow alternatives: Chaser, Drivetrain, Vena
Muse Glimmer 30BTesorio, Upflow alternatives: Abacum, Float, Planful

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
Cash Flow Frog leads by sixteen points.
Cash Flow Frog16%#2 of 12
Cube0%#– of 12
The full small business standing →
Mid-marketThe figures above
Cash Flow Frog leads by two points.
Cash Flow Frog8%#3 of 15
Cube6%#6 of 15
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Cash Flow Frog0%#– of 12
Cube0%#– of 12
The full enterprise standing →

What the models said about Cash Flow Frog

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

“products such as Float, Helm, Dryrun, and Cash Flow Frog are described as good within a narrow scope” Perplexity Sonar · negative prompt · soft negative
“Simpler liquidity focus | 4.6/5 | Fast rolling forecasts | $100-1K/mo (test first)” Grok 4.1 Fast · scale prompt · soft negative
“For most small-to-mid-sized businesses, Cash Flow Frog offers the best value with deep features at an affordable price” MiniMax M2.5 · comparative prompt · first choice
“with Float and Cash Flow Frog being strong picks for an automated view of your cash position” Claude Haiku 4.5 · budget prompt · first choice
“Cash Flow Frog stands out as one of the best cash flow forecasting software options” Grok 4.1 Fast · budget prompt · first choice

What the models said about Cube

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

“Spreadsheet-Native or Excel-Based Tools (e.g., ... heavy reliance in Cube, Vena, Datarails): Prone to manual errors” Grok 4.1 Fast · negative prompt · soft negative
“Best for mid-market finance teams ($10M–$300M revenue) that run planning in spreadsheets and want structure, automation, and AI analysis layered on top” Llama 4 Maverick · direct 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.