# Devin AI Credits: On-Demand Pricing, Rollover Rules, and Usage Quotas

Devin on-demand credits are prepaid usage credits that fund tasks exceeding included plan quotas, power team automations and reviews, roll over indefinitely without expiring, and share across team members. Unlike enterprise Agent Compute Units, self-serve credits prevent abrupt session cutoffs. Understanding how shared credit pools interact with flex seats and auto-reload thresholds keeps autonomous agent workflows funded without runaway costs.

Source: https://fast.io/resources/devin-ai-credits/
Last reviewed: 2026-09-04

## How Devin AI Credits and Metering Work

Autonomous coding agents fail differently than human developers: when an agent runs out of usage allocation mid-task, it does not pause to request an extension; the execution container terminates, leaving partially refactored code, unmerged branches, and lost execution context. In Devin AI, preventing these abrupt session interruptions requires understanding the exact operational boundary between calendar-based plan quotas and prepaid on-demand credits.

Devin on-demand credits are prepaid usage credits that fund tasks exceeding included plan quotas, power team automations and reviews, roll over indefinitely without expiring, and share across team members.

Much of the confusion surrounding Devin billing stems from conflating self-serve accounts with enterprise deployments. Devin operates under two distinct pricing models:

* **Enterprise:** Large organizations negotiate custom annual agreements metered in Agent Compute Units (ACUs). Usage is tracked against contract volume inside the Enterprise Admin console, and teams can enforce custom organizational policies.
* **Self-serve:** Individual developers and teams subscribe to Free, Pro, Max, or Teams plans through app.devin.ai. Usage is funded first by calendar-based plan quotas, with on-demand credits serving as prepaid overflow funding.

For developers and managers operating on self-serve tiers, Devin on-demand credits follow four primary rules:

* **Rollover:** Purchased on-demand credits never expire and roll over month-to-month.
* **Team pooling:** Teams plans share a pooled credit balance across all full and flex seats without individual sub-account limits.
* **Auto-reload:** Administrators configure automated replenishment thresholds and default session spending limits to prevent service interruptions.
* **Quota spillover:** Credits fund tasks exceeding included seat quotas, provide execution compute for background automations, and cover private Devin Review evaluations.

### What Counts Toward Usage Consumption

Devin usage accrues based on the actual compute work the agent executes inside its virtual machine sandbox. Metered activities include:

* Planning, code analysis, and context gathering across repository files.
* Autonomous browser actions, documentation lookups, and web verification.
* Shell command execution, package installations, and application builds.
* Dedicated virtual machine runtime and network bandwidth.

Operating environments introduce measurable consumption differences. Devin sessions executing on Windows consume roughly 9% more usage than equivalent Linux (Ubuntu) sessions due to underlying virtualization overhead and operating system primitives.

Devin does not consume usage during passive waiting states:

* Waiting for a human developer to respond to questions or provide approval.
* Waiting for external test suites or CI/CD pipelines to run.
* Initial repository cloning and workspace environment setup.

Devin also implements automated sleep behavior. When an active session remains idle without user input, Devin automatically enters sleep mode after roughly 0.1 ACUs (or the equivalent credit allocation) of inactivity. While sleeping, the agent consumes zero compute credits. Sending a message wakes the session instantly with preserved state.

## How Self-Serve Plan Quotas Compare to On-Demand Credits

Every paid Devin tier includes a baseline allowance of compute that resets on a strict calendar schedule. Understanding how these allowances refresh determines whether your team needs to purchase on-demand credits.

Devin structures its self-serve catalog into four distinct tiers:

* **Free plan:** Designed for evaluation. Includes limited usage, access to the DeepWiki knowledge base, and Devin Review access for public repositories. Free accounts support a single user and cannot purchase additional on-demand credits.
* **Pro plan:** Tailored for individual engineers. Includes daily and weekly usage quotas covering Devin cloud sessions, the Devin CLI, and Devin Desktop. Pro users can purchase on-demand credits to continue working past quota limits.
* **Max plan:** Designed for power users requiring sustained autonomous execution. Provides a large weekly usage quota with no daily cap, shared across cloud sessions, CLI, and desktop environments.
* **Teams plan:** Built for engineering organizations. Supports unlimited team members with shared on-demand credit pooling and flexible seat assignments.

| Plan | Target Audience | Base Monthly Cost | Member Limit | Quota Structure | Credit Compatibility |
| :--- | :--- | :--- | :--- | :--- | :--- |
| Free | Evaluation | $0 | 1 user | Fixed trial allowance | Legacy balances only |
| Pro | Individual developers | $20/month | 1 user | Daily and weekly allowances | Individual on-demand top-ups |
| Max | Heavy individual automation | $200/month | 1 user | Weekly allowance (no daily cap) | Individual on-demand top-ups |
| Teams | Engineering teams | $80/month minimum | Unlimited users | Full seat quotas + shared pool | Shared team credit pool |

### How Quota Windows Reset

Calendar quotas on Pro and Teams full seats use a dual-window model. The daily allowance is intentionally larger than one-seventh of the weekly allowance. This design allows developers to perform heavy weekend refactoring or intense sprint tasks without exhausting their entire weekly allocation in two days.

Quota allowances do not roll over. If a developer uses only half of their daily quota on Tuesday, the unused compute expires at the start of the next cycle. On-demand credits function differently: they represent persistent purchased capital that remains on your balance indefinitely until task execution requires spillover funding.

## How Teams Plan Pooling Handles Full Seats and Flex Seats

Engineering teams managing multiple developers face a common operational challenge: some developers use Devin daily to build complex features, while others only need occasional access to review code or trigger bug investigations. Devin solves this disparity by decoupling seat access from fixed licensing fees.

A Devin Teams organization divides members into two seat categories:

* **Full seats:** Billed as a fixed recurring monthly line item. Full seats include their own dedicated Pro-equivalent daily and weekly usage quotas, along with access to Devin Desktop. They are designed for primary contributors who need predictable daily compute.
* **Flex seats:** Free to assign without per-seat licensing fees. Teams can add unlimited flex members. Flex seats do not include an isolated quota or Devin Desktop access; all work performed by a flex seat draws directly from the organization's shared on-demand credit pool.

### Meeting the Teams Plan Minimum Spending Threshold

Every Devin Teams subscription requires a minimum monthly expenditure, outlined in the table below. If a team does not assign enough full seats to meet this threshold, the remaining balance converts automatically into prepaid on-demand credits for the entire group.

| Full Seats | Full Seat Cost | Included On-Demand Credits | Total Monthly Invoice | Available Shared Credits Added |
| :--- | :--- | :--- | :--- | :--- |
| 0 full seats | $0 | $80 | $80 | $80 in shared credits |
| 1 full seat | $40 | $40 | $80 | $40 in shared credits |
| 2 full seats | $80 | $0 | $80 | $0 (seats meet minimum) |
| 3 full seats | $120 | $0 | $120 | $0 (credits purchased as needed) |
| 5 full seats | $200 | $0 | $200 | $0 (credits purchased as needed) |

This structure provides financial flexibility for early-stage teams. A team of five engineers can launch on Teams with one full seat and four flex seats, paying the required baseline monthly invoice that includes shared on-demand credits. The four flex users draw from the shared credit reserve as needed, while the primary lead uses their dedicated daily and weekly seat quota.

### Shared Credit Pooling Dynamics

On the Teams plan, on-demand credits exist as an organization-wide pool. There are no individual sub-balances. If three flex users launch concurrent debugging sessions, all three draw simultaneously from the team balance.

This pooling model eliminates wasted credits across individuals, but it introduces coordination challenges. Without administrative boundaries, a single junior engineer running an open-ended refactoring prompt on a massive repository can consume the entire team credit balance in an afternoon.

## Background Automations, Devin Review, and Administrative Spending Limits

Devin provides autonomous background features that run independently of active human chat sessions, expanding its role from an interactive assistant to an automated pipeline worker. The two core background capabilities available on self-serve plans are repository Automations and Devin Review. Both features operate asynchronously, executing scheduled maintenance tasks, inspecting incoming pull requests, and verifying codebases without requiring an engineer to keep a browser window open.

Because background tasks execute outside individual developer sessions, their billing is decoupled from full seat quotas. On self-serve Teams plans, background Automations and Devin Review draw directly from the shared on-demand credit pool. This ensures that routine code reviews and overnight maintenance do not exhaust a developer's daily interactive quota, but it also means that unmonitored automations can quietly drain team reserves if left unchecked.

### Credit Consumption on Pull Request Reviews

Pricing for Devin Review depends on repository visibility:

* **Public repositories:** Anyone can review public GitHub pull requests for free at devinreview.com without an account. No on-demand credits are consumed.
* **Private repositories:** Reviews of private pull requests draw directly from the team's on-demand credit balance. The compute consumed scales with the size of the pull request diff, the depth of context required, and whether Devin executes the test suite to verify changes.

When an organization runs out of on-demand credits, background execution halts:

* Scheduled automations fail to launch until credits are replenished.
* Devin Review stops posting automated AI code comments and switches to its fallback smart diff viewer.
* Human developers can top up credits at any time to re-enable automated reviews and resume scheduled automations.

### Setting Auto-Reload and Session Spending Guardrails

To prevent unexpected disruptions or uncontrolled billing spikes, Devin provides administrative controls in the account usage settings:

* **Auto-reload thresholds:** Admins can configure Devin to purchase a preset bundle of credits whenever the pool drops below a specified threshold. This prevents background automations from halting overnight.
* **Default session spending limits:** Admins can enforce a maximum dollar cap on credits per session. If a task encounters an infinite loop or unexpected recursion, Devin pauses before exceeding the defined limit.
* **Review trigger modes:** In the review configuration menu, teams can adjust when Devin Review executes. Switching triggers from every commit to running only when a pull request is first opened or marked ready for review prevents redundant credit consumption on rapid, work-in-progress pushes.

## Why Ephemeral Sandboxes Accelerate On-Demand Credit Burn

Managing Devin credit consumption requires looking beyond prompt wording and session timeouts; it requires addressing how files and project context are handled across consecutive sessions. Because Devin meters sessions based on actions taken, context gathering, and runtime compute, asking Devin to repeatedly analyze unorganized files quickly depletes on-demand balances.

When developers delegate complex tasks, Devin spends a notable portion of its compute gathering context, parsing dependency graphs, and scanning directories before writing a single line of code. If that context vanishes at the end of each session, the agent must repeat the discovery process on every subsequent run, compounding credit expenditure across sprints.

### The Ephemeral Sandbox Bottleneck

Devin operates inside isolated cloud sandboxes. While this sandbox keeps your local system safe, it is ephemeral. Build logs, test coverage reports, architectural diagrams, and generated artifacts exist on the sandbox virtual disk. When the session terminates, uncommitted files vanish.

If a team needs to reference those outputs in a subsequent session, they often paste raw log dumps or re-upload multi-megabyte archives. Devin must re-read, parse, and analyze these assets from scratch, consuming significant compute and burning on-demand credits on work already performed.

### Comparing Storage Approaches for Autonomous Agents

Engineering teams typically handle agent persistence through three traditional mechanisms:

* **Local disk storage:** Developers sync files to their local workstation using the Devin CLI. While simple, local files are inaccessible to teammates or other autonomous agents running in parallel.
* **Raw object storage (Amazon S3):** Teams configure scripts to push artifacts into S3 buckets. While durable, raw buckets lack native document indexing, semantic search, or version rollback interfaces.
* **Consumer cloud drives (Google Drive, Dropbox):** Traditional file sync tools are optimized for human desktop synchronization. They lack native agent connectivity and often hit API rate limits during rapid agent read/write operations.

### Coordinating Agent Files with Fast.io Workspaces

Fast.io provides a dedicated workspace substrate designed specifically for agentic teams and human collaborators. Rather than treating file storage as a passive archive, [Fast.io persistent workspaces](/storage-for-agents/) provide org-owned shared spaces with granular permissions at the organization, workspace, folder, and file level.

Every file stored in Fast.io maintains full per-file version history. If an agent overwrites a critical specification or produces a malformed output, human engineers can audit the change and revert to any previous state immediately.

Devin interacts directly with Fast.io through its Model Context Protocol (MCP) server, as detailed in the [Fast.io developer storage guide](/storage-for-agents/). The Fast.io MCP server exposes Streamable HTTP at `https://mcp.fast.io/mcp` (and `https://mcp.fast.io/mcp/key` for Bearer token authentication) along with legacy SSE at `https://mcp.fast.io/sse`. Devin can write build artifacts, system designs, and generated documentation directly to a persistent Fast.io workspace.

Once stored, Fast.io's Intelligence Mode automatically indexes documents for both full-text and semantic search. In subsequent sessions, Devin does not need to ingest massive multi-megabyte files into its prompt window. Instead, the agent queries the Fast.io MCP server to retrieve only the relevant sections with source citations, cutting token volume and preserving on-demand credits.

Fast.io also supports ownership transfer. An autonomous agent can initialize a shared workspace, organize project documentation, and transfer workspace ownership to a human team lead while retaining developer access.

Every organization starts with a 14-day free trial, which requires a credit card. | Plans are Starter at $29/mo, Business at $99/mo, and Growth at $299/mo, with full tier breakdowns detailed on the [Fast.io pricing page](/pricing/).

## Frequently asked questions

### Do Devin AI credits expire?

No. Purchased Devin on-demand credits roll over month-to-month and never expire. Unlike calendar plan quotas on Pro and Teams full seats, which reset on a recurring schedule, prepaid credit balances remain in your account until consumed by session overages, flex seats, or background automations.

### How do on-demand credits work on Devin Teams plans?

On the Devin Teams plan, on-demand credits are pooled across the entire organization rather than allocated to specific users. All members can draw from the shared balance. Devin credits fund all compute consumed by flex seats, cover usage that exceeds full seat quotas, and power team background automations and private pull request reviews.

### What happens when you run out of Devin credits?

When your on-demand credit balance hits zero and your plan quota is exhausted, active Devin sessions halt. Background automations pause, and Devin Review degrades to its basic smart diff viewer without posting AI code comments. You can resume operations at any time by purchasing credits or enabling auto-reload in account settings.

### How is Devin self-serve credit usage different from enterprise ACUs?

Enterprise accounts contract for custom volumes of Agent Compute Units (ACUs) billed under annual agreements and managed through dedicated enterprise consoles. Devin self-serve accounts use monthly calendar quotas included with paid plans and purchase prepaid on-demand credits to cover usage spillover, automations, and flex seats.

### Can administrators set spending caps on individual Devin team members?

Devin Teams accounts share a single on-demand credit pool without individual member wallets. However, administrators can configure default session spending limits and auto-reload thresholds in the account usage settings to prevent single tasks from draining the collective balance.

## About Fast.io

Fast.io provides shared workspaces where people and AI agents work on the same files, with built-in semantic search and citation-backed chat over what they hold. Agents reach it through a remote MCP server at https://mcp.fast.io/mcp, a REST API at https://api.fast.io/current/, and a command line client published on npm as @vividengine/fastio-cli.