For most professional Monte Carlo work in Excel, ModelRisk is the closest like-for-like alternative: a substantially broader function set, faster simulation, a built-in converter that opens your existing @RISK models, and a maximum price of €1,550 per user per year against @RISK's €2,900–€3,500 subscription. If you need stochastic optimisation today, Analytic Solver belongs on the shortlist beside it.
This page is the decision guide: each realistic alternative in turn, what it is genuinely better at, what it is not, and who should simply stay with @RISK. Prices are quoted from named public sources with retrieval dates. If your question is specifically what @RISK costs and how its pricing works, that deep-dive is @RISK pricing and alternatives; if you have already decided and want the migration mechanics, see switching from @RISK to ModelRisk.
Two reasons dominate. Price: @RISK is sold as an annual subscription — Lumivero's web shop lists Professional at €2,900 and Industrial at €3,500 per user per year (Lumivero web shop (shop.lumivero.com), retrieved August 2026) — and multi-year or multi-seat terms are negotiated through sales, which makes team budgets harder to plan than a fixed published ceiling. For a consultancy licensing a whole modelling team, the seat mathematics compound quickly. The renewal moment: because it is a subscription, the natural time to evaluate an alternative is the months before renewal — our 10-minute pre-renewal audit is built for exactly that.
ModelRisk — the like-for-like professional switch. Over 1,400 functions, 135 probability distributions, 28 time series models and 9 correlation structures — roughly three times the functionality of the nearest competitor — with the fastest Monte Carlo simulation in Excel and models that remain 100% Excel-compliant, so colleagues without the add-in can still open and audit the workbook. The built-in converter opens existing @RISK models directly. One edition, everything included, at most €1,550 per user per year — customers have reported savings of 20–60% against @RISK — with volume and duration discounts, and a free Basic edition after the fully functional 15-day trial rather than a dead stop.
Analytic Solver (Frontline Systems) — the alternative to shortlist if stochastic optimisation is a today-requirement. Simulation is $2,500 per year, but simulation and stochastic optimisation together need the Comprehensive edition at $6,000 per year (solver.com, retrieved August 2026). That optimisation gap on our side is closing: ModelRisk Optimizer is built and will be released in the near future — contact us about timing and early access.
Oracle Crystal Ball — rarely the answer today. Development has stalled, the interface feels dated and the feature set lags the competition; Oracle no longer publishes a price, and Capterra's listing states no free trial is available (retrieved August 2026). Familiarity to long-time users is its main draw. The full comparison is ModelRisk vs Oracle Crystal Ball.
RiskAMP (Structured Data) — the budget option: Professional is $279 one-time with renewals at half price (riskamp.com, retrieved August 2026). Honest verdict from our category review: it falls short of professional standards — fine for learning or occasional light use, not for work that faces an auditor or a board.
Python or R — the build-it-yourself alternative, and the right one for some technical teams: free, endlessly flexible, scriptable into pipelines. The trade-offs are real, though. The code becomes a model you must also maintain, and the handover problem never goes away: stakeholders, reviewers and auditors can open a spreadsheet and follow it, while a notebook needs a programmer in the room. Excel add-ins keep the risk model inside the artefact your organisation already trusts and versions.
The full category comparison with feature matrices, screenshots and verdicts is our Five Best Monte Carlo Add-Ins for Excel review.
An honest comparison cuts both ways. If your workflow depends on RISKOptimizer for stochastic optimisation right now, @RISK Industrial does something ModelRisk does not yet ship — that gap is closing with ModelRisk Optimizer, but "built and releasing shortly" is not the same as installed on your machine today. If your organisation is invested across the DecisionTools Suite — StatTools, PrecisionTree, NeuralTools alongside @RISK — the switching question is bigger than one add-in, and worth taking product by product (our PrecisionTree alternative guide covers the decision-tree corner). And if your models are deeply scripted against @RISK's automation interfaces, budget real migration time for that layer — the converter moves models, not macros.
None of those apply? Then the evaluation is cheap: the trial is free, fully functional, and long enough to convert your own models and run them side by side.
Three steps, in the months before your renewal. Convert: ModelRisk's built-in converter opens your existing @RISK workbooks — start with the two or three models your team uses most. Compare: run both tools on the same models and check results and simulation speed side by side; the switching guide covers the function-mapping details and the edge cases. Decide before the renewal is due: the pre-renewal audit turns it into a 10-minute checklist. Academic and volume licensing exist on our side — ask if either applies.
Price sources: @RISK and DecisionTools prices from Lumivero web shop (shop.lumivero.com) (retrieved August 2026; the shop shows annual subscription prices in the visitor's local currency, euro prices quoted here); Analytic Solver from solver.com (retrieved August 2026); RiskAMP from riskamp.com (retrieved August 2026); Crystal Ball per Capterra (retrieved August 2026). ModelRisk prices from our published price list. @RISK, RISKOptimizer and PrecisionTree are Lumivero marks; Crystal Ball is an Oracle mark. Negotiated prices may differ.
What is the best alternative to @RISK? For most professional Monte Carlo work in Excel, ModelRisk is the closest like-for-like alternative: a broader function set, faster simulation, a built-in converter for existing @RISK models, and a maximum price of €1,550 per user per year against @RISK's €2,900–€3,500 subscription. If you need stochastic optimisation today, Analytic Solver is the one to evaluate alongside it.
Can I open my @RISK models in another tool? ModelRisk includes a built-in converter that opens existing @RISK models, so switching does not mean rebuilding your model library. The practical test is to run the free 15-day trial against your own workbooks and compare results and simulation speed side by side.
Is Oracle Crystal Ball a good @RISK alternative? Rarely today. Development has stalled, the interface feels dated, its feature set lags the competition, Oracle no longer publishes a price for it, and Capterra's listing states no free trial is available (retrieved August 2026). It remains familiar to long-time users, which is its main draw.
What about doing it in Python or R instead? A code stack is the right choice for some technical teams — free, flexible and scriptable. The trade-offs are the maintenance burden of the code itself and the handover problem: stakeholders and auditors can open and check a spreadsheet, while a notebook needs a programmer. Excel add-ins keep the model in the artefact everyone already trusts.
How much cheaper are the alternatives? At published list prices, retrieved August 2026: @RISK is €2,900–€3,500 per user per year; ModelRisk is at most €1,550 — customers have reported savings of 20–60%; Analytic Solver Simulation lists at $2,500 per year; RiskAMP Professional is $279 one-time; Crystal Ball has no published price. Negotiated prices differ.
Convert your @RISK models with the built-in converter, run them side by side for 15 days, and see the difference in breadth, speed and price for yourself — free and fully functional.