The agents were supposed to nap. They sat idle between tool calls, woke for a few seconds of work and went back to sleep, so a platform that bills only while a machine is awake looked like the obvious fit. Then the product grew a nightly batch job, a dashboard login and a reviewer who wanted to watch the screen.
That is when a team starts pricing Blaxel alternatives. The best options are Solari, E2B, Daytona, Vercel Sandbox and Modal: Solari for sandboxes, browsers and desktops from one account, E2B for code-interpreter agents, Daytona for VM, Windows and GPU machines, Vercel Sandbox for apps on Vercel, and Modal for Python pipelines. This guide covers each one's pricing, strengths and trade-off, starting with why teams leave.
Key Takeaways
The short version comes first.
Choose Solari when an agent runs code, uses the web and sometimes needs a screen, all on one bill.
Choose E2B when the job is a code interpreter and a large ecosystem matters most.
Choose Daytona when a workload needs a full VM, Windows or a GPU.
Choose Vercel Sandbox when the app already deploys on Vercel.
Choose Modal when the agent is one step in a Python or GPU pipeline.
Stay with Blaxel when agents idle most of the day and standby billing decides it.
Reasons to Consider an Alternative to Blaxel
Those choices follow from what Blaxel is built for. Blaxel says its microVM sandboxes suspend to zero when idle and resume from standby with memory and filesystem intact, and its pricing page offers pay-as-you-go usage with up to $200 in free credits. In practice, active time is billed by allocated memory, while suspended sandboxes wait as snapshots billed as storage, per the same Blaxel page.
Three events usually start the search. First, the workload stops idling, so long jobs erode the scale to zero discount. Second, the agent grows a web step or a screen, and a second vendor appears. Third, the snapshot line grows, because every machine kept ready to resume is storage on the bill.
Each alternative answers those events differently, and the table shows how.
Blaxel Alternatives at a Glance
The table sets out who each platform suits and where its pricing starts.
Every platform here starts free, so the difference is the rate after credits and what else lives in the same account, which is where the first entry starts.
1. Solari
Solari is the alternative for teams whose agent has outgrown a single surface.
Core capabilities. Solari gives an agent sandboxes, desktops and cloud browsers from one account, one API key and one bill. Inside that account, a sandbox runs commands, keeps Python state between calls, watches files, and can be paused, snapshotted and forked. When it pauses, memory and processes are saved, and resume brings the sandbox back exactly as it was. Its size is set at create time, from 1 to 8 vCPU and up to 16 GB of memory.
Isolation. Dedicated sandboxes, the default, are microVMs of their own, and hardened ones also block outbound network, putting a hypervisor between agent code and everything else. For lighter jobs, shared sandboxes are a cheaper process tree in a VM used only by the same organization, separated by Linux namespaces and a cgroup.
Pricing and plans. The Free plan includes $3 of monthly credits and a sandbox or desktop, per the docs pricing page. Above it, Professional is $200 a month with 10 concurrent sandboxes or desktops, with a 4 vCPU, 16 GB sandbox at $0.221 per hour. Further up, on Team, the Solari pricing page shows Solari almost 3x cheaper than E2B and Daytona per sandbox hour at their list prices, and snapshot storage is $0.05 per GB-month.
Where it shines. The site says sandboxes are ready in 90 ms, and a paused machine stops counting against the plan's running limit until it resumes. Because the surfaces share one account, the agent can open a browser for the login step and a desktop with a live view for the reviewer.
Teams whose agents only run code have narrower options, starting with the best-known sandbox vendor.
2. E2B
E2B is the name most code-interpreter agents meet first, which makes it the usual comparison.
Core capabilities. E2B runs isolated sandboxes for agent-generated code and keeps building around them, with features such as E2B Secrets for credentials. On top of that, its large ecosystem means examples, integrations and community answers are easy to find.
Pricing and plans. E2B says its Hobby plan is free with a $100 one-time usage credit, sessions up to 1 hour and 20 concurrent sandboxes, on its pricing page. On Pro, which costs $150 a month plus usage, sessions run up to 24 hours with 100 concurrent sandboxes, and a default 2 vCPU sandbox bills $0.000028 per second, per the same E2B page. That means a team whose agents live longer than an hour pays the Pro fee before its first minute of compute.
Trade-off. Multi-day and persistent sessions sit on Enterprise, which E2B says requires a $3,000 monthly minimum on its pricing page. As a result, teams that want agents to keep a machine for days should price that tier first.
Teams that need a GPU or a Windows machine look next at Daytona.
3. Daytona
Daytona widens the choice of machine, which is its main draw against Blaxel.
Core capabilities. Daytona offers container, Linux VM, Windows and GPU sandbox classes, and its sandboxes page says sandboxes run as Linux containers by default. For stronger isolation, the isolation page describes VM sandboxes as a full virtual machine with its own kernel, which enables pause, resume, fork and hot snapshots.
Pricing and plans. Daytona publishes no plan tiers, only usage: $0.0504 per vCPU-hour and $0.0162 per GiB-hour of memory, billed per second, with free compute to start, on its pricing page. GPUs are priced separately, from an RTX 4090 at $0.57 an hour to a B300 at $4.08 an hour at preemptible rates, on the same Daytona page.
Trade-off. The default class is a container, so a team that wants VM isolation for untrusted code has to request the VM class. Beyond that, enterprise features such as SSO and audit logs go through sales.
Teams already deploying web apps have a closer option inside their hosting provider.
4. Vercel Sandbox
Vercel Sandbox is the alternative that lives inside an existing deploy platform.
Core capabilities. Vercel Sandbox runs untrusted and agent-generated code in isolated machines inside a Vercel account, with snapshots, drives and a choice of regions, per its pricing and quotas page. As a result, teams already on Vercel keep the same billing and spend controls.
Pricing and plans. Vercel publishes separate rates for active CPU hours and provisioned memory GB-hours on its Sandbox pricing page, so there is no single sandbox-hour price to compare. In that model, waiting on a model call does not count as active CPU, although memory is billed for idle time too. On the plan side, Hobby includes a monthly allotment, and Pro usage draws down a monthly credit first.
Trade-off. Session length is capped per run on every plan, resetting on each stop and resume, per the same Vercel page. On top of that, snapshots expire after a period of disuse by default, so long-parked agents need a retention setting.
The last alternative suits agents that sit inside data and GPU pipelines.
5. Modal
Modal comes at sandboxes from serverless compute, so it is strongest when the agent is one step in a larger Python job.
Core capabilities. Modal runs serverless functions, GPU tasks and sandboxes on one platform and scales them with request volume, per its pricing page. That means an agent can hand a heavy step to a GPU or a scheduled function without leaving Modal.
Pricing and plans. Modal says sandboxes are billed at non-preemptible rates, a multiple of its list compute price, per CPU core and GiB of memory per second, on its pricing page. On the plan side, the Starter plan is free with monthly credits, and the Team plan adds a monthly fee and a higher container limit.
Trade-off. Cost estimates should start from the sandbox rates, not the headline compute prices on the same Modal page. For the same reason, teams that only need a sandbox pay for a platform built around much more.
With five options laid out, the choice reduces to two questions.
Choosing the Right Sandbox Platform
The decision comes down to how much of the day an agent is awake and what else it touches. Stay with Blaxel when agents idle most of the time and fast resume decides it; pick E2B for code interpreters, Daytona for GPU and Windows machines, Vercel Sandbox for teams on Vercel and Modal for Python pipelines. By contrast, choose Solari when the agent also needs a browser or a screen and the rate after credits matters more than a standby discount. In market terms, E2B and Daytona are the more established sandbox vendors with larger ecosystems; Solari is the younger company and moves faster on speed and price.
Get Started With Solari
Start by creating a dedicated sandbox from the sandboxes guide, running the agent's longest job in it, then pausing and resuming it to watch the state come back. For that job, Solari is about 1.3x faster than E2B and about 1.7x faster than Daytona on a sandbox's full lifecycle, per its pricing page, and it is free to start: create a Solari account and see how Solari started.
