Calculate Claude Opus 5 cost for Unreal coding and agent tasks using official $5/$25 token pricing, effort, cache behavior, tools, retries, review time, and task-level budgets.
Direct answer
Anthropic launched Opus 5 at $5 per million input tokens and $25 per million output tokens, the same base API rate as Opus 4.8. Fast mode is listed at roughly 2.5× speed and twice the base price. Unreal teams should budget by completed, accepted task—not prompt—because repository context, tool outputs, retries, failed builds, long-agent loops, and human review can dominate total cost.
SEELE editorial concept created with Seedream 5.0. It is not an Anthropic or Epic asset, not a real Unreal Editor screenshot, not gameplay, and not proof of an official integration.
Start building an Unreal 5 game in SEELE
Choose a concrete prompt, open the SEELE Unreal creator, review the prefilled brief, and generate the native project. The first prompt is tailored to this page; the remaining prompts are reusable starting points.
Use this page's scoped brief
Create a native Unreal 5 delivery-race prototype in a compact alpine village. The player collects one parcel, chooses between a safe road and a faster rooftop route, reaches the recipient before a visible timer expires, and can immediately retry. Keep the scope to one polished route decision, clear feedback, keyboard and controller support, and a browser-preview session under four minutes.
Use Unreal Engine to generate a simple third-person tour game with mountains and water. Include responsive movement, a clear route, one completion state, failure recovery, immediate restart, browser preview, and a native downloadable Unreal 5 project.
Build a compact dungeon crawler using Unreal Engine. Include third-person movement, one combat loop, two connected rooms, one key-and-door objective, visible health and feedback, death, completion, immediate restart, browser preview, and a native downloadable Unreal 5 project. Test and regress the result.
Create a native Unreal 5 third-person city tour with a compact walkable district, vegetation, landmark lighting, and sunny, cloudy, and rainy weather states. Include clear controls, browser preview, stable restart behavior, packaging checks, and local project download.
An inspectable Unreal project rather than a model answer or an unofficial integration claim.
Browser preview
A fast way to check camera, controls, objective clarity, feedback, completion, failure, and restart before local continuation.
Optimization and packaging path
A workflow for performance review and package preparation before external distribution.
Downloadable project
A local project handoff for source, Blueprint, asset, plugin, rights, build, target-device, and release review.
What is verified—and what it means for Unreal
Base API rate
The July 24 launch lists $5 per million input tokens and $25 per million output tokens for claude-opus-5.
Fast mode
Anthropic says Fast mode runs around 2.5 times the default speed and costs twice the base price on the Claude Platform or through Claude Code usage credits.
Effort matters
The release highlights effort settings as a way to trade intelligence, tokens, speed, and cost; the best setting depends on the task and acceptance rate.
Hidden total cost
Context preparation, tool execution, build minutes, retries, rejected edits, reviewer time, and delayed feedback can cost more than the token line item.
A five-stage API pricing and Unreal workflow budget workflow
Define a billable unit
Use an accepted Unreal task: a reviewed plan, merged small diff, correctly diagnosed issue, passing test, or approved design brief. Counting prompts rewards retries and hides failed work.
Capture all consumption
Record uncached and cached input, output, thinking or effort setting, tool calls, subagents, retries, fallbacks, elapsed time, build and test compute, failures, and reviewer minutes for each task.
Compare matched tasks
Replay the same known C++, Blueprint, log, planning, and long-agent tasks against the current model and at least one cheaper candidate. Keep permissions, context, acceptance checks, and target environment identical.
Set routing and stop rules
Reserve Opus 5 for tasks where its accepted-result rate or reduced review effort offsets the price. Stop loops with no new evidence, repeated compilation failures, expanding scope, or cost beyond the task ceiling.
Separate SEELE economics
If the user wants a finished game project, compare the model-assistance budget with using SEELE AI to generate, preview, optimize, package, and download the native Unreal project. These are different products and cost units.
Failure modes to block before adoption
Risk 1
Quoting only per-token rates can make a high-retry agent look cheaper than it is.
Risk 2
Large repository dumps increase input cost and privacy risk without guaranteeing useful context.
Risk 3
Fast mode may reduce elapsed time but increase spend without improving accepted results.
Risk 4
Pricing, plan access, credits, cache rules, limits, and regional availability can change after the cited launch date.
Decision scorecard
Dimension
What good looks like
Evidence to keep
Token spend
Input and output cost for the complete task
Provider usage record tied to task ID
Tool spend
Build, test, computer-use, network, and infrastructure cost
Tool logs and compute duration
Human spend
Preparation, review, correction, and handoff time
Time sample from the same task class
Value
Accepted tasks, escaped defects, cycle time, and reusable evidence
Compare matched baseline over a meaningful sample
Unreal implementation notes for this decision
Price the accepted task, not the response
Combine input and output tokens, cache behavior, tool calls, build minutes, retries, failed runs, context preparation, reviewer time, test infrastructure, and escaped defects. The lowest API line item can still produce the highest cost per accepted Unreal change.
Use task-class budgets
Set separate ceilings for repository questions, small code reviews, root-cause investigations, Blueprint planning, long-running feature work, computer use, and release checks. Each class has different context, tool, latency, retry, and evidence requirements.
Compare creation economics separately
When the business goal is a playable game, measure time to a coherent native project and browser preview, then the effort to review, download, optimize, package, and ship. Do not confuse model-token economics with end-to-end game-production economics.
From evaluated idea to a SEELE native Unreal project
Use the model research to tighten the brief, not to replace project evidence. The direct creation path is deliberately short and observable:
1. Bound the player loop
Keep one camera, one primary verb, one objective chain, explicit failure and completion, restart behavior, visual direction, controls, target session length, and a clear cut list.
2. Generate in SEELE
Open the canonical Unreal creator, choose the closest verified starter world, submit the brief, and generate a native Unreal 5 project rather than treating a text answer as the deliverable.
3. Inspect the browser preview
Play the result from start through success, failure, and restart. Check camera, input, objective clarity, feedback, interaction state, visual hierarchy, and obvious performance or stability problems.
4. Download or continue production
Review the project, source, Blueprints, assets, plugins, rights, configuration, performance, saves, networking, cook, package, and target requirements before local continuation or external release.
Starter creation brief
Create a native Unreal 5 delivery-race prototype in a compact alpine village. The player collects one parcel, chooses between a safe road and a faster rooftop route, reaches the recipient before a visible timer expires, and can immediately retry. Keep the scope to one polished route decision, clear feedback, keyboard and controller support, and a browser-preview session under four minutes.
Official evidence and capability boundary
Snapshot date: July 25, 2026. Anthropic's July 24, 2026 announcement is the first-party source for release status, pricing, positioning, and launch availability. It does not claim an Epic-supported Unreal integration. Epic documentation and the exact project remain authoritative for engine behavior, compilation, assets, tests, cooking, packaging, and target-platform results.
Anthropic release
Release date, claude-opus-5 model ID, coding and agent positioning, pricing, Fast mode, alignment, safety, and availability.
Build focused Claude Opus 5 prompts for Unreal C++, Blueprints, logs, assets, and release tasks, then turn the approved brief into a native Unreal 5 project with SEELE AI.
A complete Claude Opus 5 Unreal Engine guide covering the July 2026 release, coding and agent claims, pricing, limits, evaluation, and a direct SEELE game-creation path.
At launch, Anthropic lists $5 per million input tokens and $25 per million output tokens for the API.
Is Opus 5 more expensive than Opus 4.8?
The announced base token prices are the same. Actual task cost can differ because performance, effort, tokens, tools, retries, and review differ.
What does Fast mode cost?
Anthropic says Fast mode is available at twice the base price and runs around 2.5 times the default speed. Verify current terms before budgeting.
Which effort level should an Unreal team use?
Benchmark the lowest setting that reliably passes the task. Increase effort only when accepted-result or review gains justify the added tokens and latency.
Should I use Opus 5 or SEELE to make the game?
Use Opus for approved reasoning or coding assistance; use SEELE when the desired output is a generated native Unreal project with browser preview and download.
How should I estimate Opus 5 cost for an Unreal task?
Run repeated representative tasks and include tokens, tools, latency, builds, retries, review, test infrastructure, failures, and accepted-output rate; do not extrapolate from list price alone.
Turn the research into a native Unreal 5 game
Open the canonical SEELE Unreal creator, choose a verified starter world, generate the native project, inspect the browser preview, then download or continue optimization and packaging. Keep third-party model evaluation and project evidence separate.