Wally is described as a preview in the current terms, with no uptime or support-response commitment. Local SDKs have a separate execution and availability boundary. Read the source ↗

Inference APIs / RunAnywhere Wally and Local SDKs alternative

A RunAnywhere Wally alternative for agent execution

RunAnywhere currently offers Wally hosted inference alongside local SDKs and neural accelerators. Hosted API calls and on-device inference have different execution and privacy boundaries. Neither product should be treated as a generic hosted computer that retains an agent’s complete mutable operating system.

Start buildingCompare capabilities ↓

Reviewed 2026-10-19 · Published by the Sandbox0 team

When RunAnywhere Wally and Local SDKs fits

RunAnywhere fits teams choosing local inference SDKs or Wally-hosted model access. Keep required models, device acceleration and API integrations; a Linux agent sandbox is a separate execution layer.

When to consider Sandbox0

Choose Sandbox0 for compatible Linux agents that install tools, retain system configuration and grow files across tasks, with a complete durable writable RootFS, online growth and supported paused files. Continue using suitable inference providers.

Capabilities

RunAnywhere Wally and Local SDKs and Sandbox0: what persists?

Feature comparison with documentation and verification status
Environment and runtime lifetimeRunAnywhere Wally and Local SDKsNot established in this reviewSandbox0ttl and hard_ttl default to 0 (disabled). Configure idle pause and deletion policies for the same persistent sandbox identity; an idle running sandbox still accrues compute charges.Read documentation →
Persistent filesRunAnywhere Wally and Local SDKsHosted model requests and local SDK execution do not establish a general hosted persistent writable guest disk.View evidence ↗Sandbox0The writable RootFS survives successful checkpoints, including software, system configuration, dependencies, and user data.Read documentation →
Whole RootFSRunAnywhere Wally and Local SDKsLocal inference integration and hosted model APIs do not establish a managed whole-RootFS lifecycle.View evidence ↗Sandbox0Persistence extends beyond /workspace to paths such as /usr/local, /etc, and /home. Runtime tmpfs and virtual filesystems are excluded.Read documentation →
Release compute, keep stateRunAnywhere Wally and Local SDKsSelecting local or hosted inference does not establish durable hosted machine pause/resume.View evidence ↗Sandbox0Pause compute between tasks; resume on available capacity. Default resume starts fresh processes from the saved filesystem.Read documentation →
Memory and process stateRunAnywhere Wally and Local SDKsThe inference interface does not establish saved guest RAM or process checkpoints.View evidence ↗Sandbox0Experimental memory checkpoints can preserve compatible process state. Use memory: true on both pause and resume on a compatible deployment. A filesystem checkpoint alone does not preserve running processes.Read documentation →

Online RootFS growth

On growth-enabled images, Sandbox0 automatically expands the writable RootFS as free space runs low, within a configured sparse logical ceiling up to 64 TiB. Agent processes keep running. Growth is enabled in the qualified Cloud region; confirm activation for other regions. Existing images and snapshots retain their captured storage geometry. The ceiling is logical capacity, not preallocated host disk.

Local device storage is managed by the embedding application; hosted token inference does not establish automatic online growth of a durable per-agent RootFS.

Files while compute is paused

Sandbox0's Files API reads persistent files without resuming compute. Filesystem-only pauses also permit edits; retained-memory pauses are read-only and reject mutations with 409. SSH, SFTP, file watching, and runtime-only mounts require running compute.

See paused file operations →

Hosted and device execution are explicit choices

The Wally guide distinguishes cloud inference from local execution and says there is no silent fallback. Local SDK privacy properties must not be applied to requests sent to hosted models. Wally’s production prompt and completion body retention terms are distinct from usage and billing records.

Source 1 ↗Source 2 ↗

Token prices describe specific hosted models

The public Wally price table gives USD rates per million input, output and cached-input tokens. Different models have different prices; available model access can depend on the API key’s entitlements. These are inference charges, not a general Linux compute or persistent disk tariff.

Source 1 ↗Source 2 ↗

Preview terms affect production planning

The current terms describe Wally as a preview without an uptime or support-response commitment. Prepaid credits fund usage and requests fail when the balance is exhausted. A promotional $5 welcome grant is not recurring free capacity or a refundable cash balance.

Source 1 ↗

Pricing

Compare billing models, then price your workload

CPU allocation, memory, billing minimums, disk, plan fees, and supported workload differ. These meters are not equal-performance machine quotes. Confirm region, resource units, and included allowances before estimating a total.

RunAnywhere Wally and Local SDKs

Pricing reviewed 2026-10-19

DeepSeek V4.1 Flash
$0.20 input / $0.60 output per million tokens
Cached input: $0.006 per million tokens.
Rate source ↗
GLM-5.3 Flash
$0.10 input / $0.35 output per million tokens
Cached input: $0.02 per million tokens.
Rate source ↗
MiMo V2.6 Pro
$0.50 input / $1.00 output per million tokens
Cached input: $0.01 per million tokens.
Rate source ↗
Muse Spark
$1.25 input / $4.25 output per million tokens
Cached input: $0.15 per million tokens.
Rate source ↗

These are the current public Wally hosted-model rows in USD, not local SDK license or device hardware prices. Check the account model catalog and current preview pricing before use. Models, prices and entitlements can change.

Check current RunAnywhere Wally and Local SDKs pricing ↗

Sandbox0

$0.015/GiB-hour compute (billed by the second at approximately $0.000004167/GiB-second), plus $0.02/GiB-month of retained incremental RootFS and memory checkpoint data. Shared base images and platform recovery retention are excluded; paused sandboxes accrue storage charges only.

Compute / GiB-hour
$0.015
Retained data / GiB-month
$0.02
Paused compute
$0.00

A 4 GiB agent, 100 running hours

$6.00 compute

4 GiB × 100 hours, billed by the second. Keeping 20 GiB of billable incremental data for a full billing month adds $0.40. CPU is derived from memory by the platform; choose a tier that fits your workload.

Understand storage billing →

Before migrating from RunAnywhere Wally and Local SDKs

  1. Separate Wally API calls, local SDK integrations, model licenses and device-specific acceleration.
  2. Retain suitable inference paths and port compatible Linux agent execution with verified system tools and files.
  3. Test inference behavior separately from agent disk retention, growth, paused-file operations and combined usage costs.

Common questions

Is Sandbox0 a drop-in RunAnywhere Wally and Local SDKs replacement?

Evaluate API compatibility and product scope. These products serve different core workflows, so a change may require a different architecture.

Does keeping files also keep a running agent?

Filesystem state and volatile process state are separate. Sandbox0 requires explicit compatible memory checkpoints to preserve running processes; its default filesystem resume starts fresh processes.

Sources and review scope

The Boat team's Battleships directory is the discovery source. References below describe the product and plan discussed on this page. Check current availability, regional terms and billing units before migrating. Where the cited material does not establish a capability or price, the comparison identifies that uncertainty.

Battleships research record ↗docs.runanywhere.ai/wally-cloud/index.md ↗www.runanywhere.ai/legal/terms ↗www.runwally.com/pricing ↗docs.runanywhere.ai/wally-cloud/quickstart.md ↗www.runanywhere.ai/ ↗Sandbox0 RootFS capacity →

Related comparisons

Baseten Model Serving / Deployments vs Sandbox0 →fal Model APIs, Serverless and Compute vs Sandbox0 →OpenAGI / Lux vs Sandbox0 →Pipeshift Inference Platform vs Sandbox0 →PoplarML Model Deployment vs Sandbox0 →Replicate Model APIs vs Sandbox0 →