The short version: There is no credible universal price for a game; estimate people, months, content units, external costs, and risk - then validate the largest uncertainty with a paid prototype.

Anyone who gives you “the cost of a game” before defining the game is selling confidence, not an estimate.

The defensible number comes from a bottom-up model: team capacity, production time, content volume, pass-through costs, and risk. Engine choice can matter, especially through licence terms and specialist availability, but it rarely rescues an uncontrolled scope.

Start with the cost equation

Use:

Production labor + external services + licences and infrastructure + hardware and certification + launch support + contingency

For a studio proposal, production labor may already include management, benefits, equipment, and margin. Ask what the rate contains before adding those items again.

Build a team-month plan

For each phase, list the roles and allocation:

PhaseTypical questions
DiscoveryWhat must be proven before production?
Pre-productionIs the pipeline, architecture, art target, and content plan viable?
ProductionHow many features and content units can the team complete?
Alpha/betaWhat remains besides bug fixing - content, optimization, compliance, localization?
Launch/post-launchWho handles submission, incidents, patches, analytics, and support?

“Six developers for a year” is still too vague. A senior network engineer, animator, producer, QA analyst, and technical artist have different roles and may not be needed at the same intensity every month.

Count content in units

Feature lists hide volume. Count:

  • characters, animation sets, skins, and weapons;
  • environments, rooms, props, and lighting passes;
  • missions, encounters, dialogue lines, and cinematics;
  • UI screens and states;
  • platforms, languages, control schemes, and accessibility modes;
  • online services, moderation flows, and live events.

Then sample the expensive units. One polished enemy or environment slice can expose more truth than a spreadsheet of hopeful averages.

An illustrative scenario - not a market quote

Suppose a hypothetical prototype uses four full-time-equivalent people for six months. If the assumed blended, fully loaded studio rate is $12,000 per person-month:

  • Labor: 4 × 6 × $12,000 = $288,000
  • Assumed external audio, testing, and hardware: $30,000
  • Subtotal: $318,000
  • Illustrative 20% risk reserve: $63,600
  • Scenario total: $381,600

Every number above is an assumption created to demonstrate the method. It is not a claim that $12,000 is a typical 2026 rate or that 20% is universally sufficient. Replace each input with a bid, payroll model, or tested production rate.

The costs most often separated from “development”

  • platform accounts, hardware, certification, and resubmission;
  • cloud hosting, observability, customer support, and fraud controls;
  • QA devices, compatibility, localization, and ratings;
  • music, voice, fonts, middleware, stock content, and licence renewals;
  • legal, privacy, tax, insurance, and accounting;
  • marketing creative, community, paid acquisition, and public relations;
  • patches, live operations, refunds, and incident response;
  • handover, documentation, and vendor transition.

Ask each vendor to mark these as included, excluded, client-supplied, or unknown.

Range the risks instead of hiding them

Build low, base, and high cases for:

  • feature count;
  • content throughput;
  • platform count;
  • online concurrency and service complexity;
  • revision rounds;
  • certification passes;
  • launch support duration.

Do not spread an arbitrary percentage evenly across the budget. Put uncertainty where it lives. A known audio quote needs less reserve than unproven multiplayer architecture.

The smartest first spend

Spend early money on the question that can kill the project: fun, technical performance, content throughput, platform feasibility, or market response. Define the evidence the prototype must produce and the decision it will unlock.

The least expensive feature is the one you reject before the pipeline scales around it.

Sources

Source check: 27 July 2026.

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