How do Agent 37 and Thunder Compute compare in monthly traffic?

Agent 37 has 180,030 monthly visits, while Thunder Compute has 102,147. Traffic estimates describe audience size, not product quality.

How do their growth rates compare?

Agent 37 has a month-over-month growth rate of +24.2%; Thunder Compute has -29%.

How does pricing compare?

Agent 37: Free Trial, Contact for Pricing. Prepaid, pay-as-you-go compute metered per minute with no subscription or minimum. New accounts get a $5 starter credit once a card is on file, and the company advertises up to $10,000 in credits for startups. Exact unit rates are published on the pricing page and change over time, so confirm current figures there. Thunder Compute: Paid (per-minute instances, per-second sandboxes). Thunder Compute bills instances per minute while running and sandboxes per second. Published instance rates: RTX A6000 $0.35/GPU-hour, L40 $0.79, A100 80GB $1.09, H100 SXM $3.20, with extra vCPUs at $0.04/vCPU-hour. Sandbox rates are $2.95/GPU-hour for H100 SXM and $1.95/GPU-hour for A100 80GB plus vCPU, memory, and storage components. Instance disk storage is $0.219/GB per month (first 100 GB per GPU included), snapshots are $0.05/GB per month, and data egress is free. Grilled specifically: rates change over time, so verify on the pricing page.

What are alternatives to Agent 37 and Thunder Compute?

Other tools in related categories include RunPod, Vast.ai, Modal, Nebius, Salad.

Open AI Tools

Agent 37 vs Thunder Compute — Traffic (180.03K vs 102.15K), Pricing & Verdict | Open AI Tools

Head-to-Head Benchmark

Agent 37 vs Thunder Compute

Agent 37 records 180,030 monthly visits with +24.2% month-over-month growth and Free Trial, Contact for Pricing pricing. Thunder Compute records 102,147 monthly visits with -29% growth and Paid (per-minute instances, per-second sandboxes) pricing.

Agent 37Free Trial, Contact for PricingTraffic Leader

The low-cost cloud sandbox where AI agents actually live

Monthly Visits

180.03K

MoM Velocity

+24.2%

Top Market

🇵🇾 Paraguay

View Agent 37 Analysis agent37.com

Thunder ComputePaid (per-minute instances, per-second sandboxes)

Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.

Monthly Visits

102.15K

MoM Velocity

-29%

Top Market

🇺🇸 United States

View Thunder Compute Analysis thundercompute.com

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Agent 37	Thunder Compute
Official Domain	agent37.com	thundercompute.com
Pricing Model	Free Trial, Contact for Pricing	Paid (per-minute instances, per-second sandboxes)
Monthly Visits	180.03K (180,030)	102.15K (102,147)

Primary Market & Share	🇵🇾 Paraguay (52.6%)	🇺🇸 United States (53.5%)

Direct Visits / mo	72.67K	40.74K

User Rating	4.3	4.4

Supported Platforms	Website	Website

Agent 37

The low-cost cloud sandbox where AI agents actually live

Per-minute sandbox billing

Pay for vCPU, memory and disk separately while the sandbox runs; when it sleeps or is deleted the compute meter stops and you are left with disk cost only.

Ready-made agent harnesses

Launch Claude Code, Codex, OpenClaw, OpenCode, Hermes, Grok or your own Docker image, each in its own tenant-isolated sandbox.

Persistent workspace and scheduling

Files survive sleep, restarts and weeks of inactivity, and agents can be attached to cron-style schedules so work runs unattended.

Networking and custom domains

Expose individual ports publicly, attach your own domain, or keep everything behind an API key on an authenticated URL.

Strengths & Pros

+Aggressively low per-minute pricing with an explicit public comparison against major sandbox providers
+Persistent disk and scheduling make it suitable for real agent workloads rather than one-shot tasks
+Strong isolation story (gVisor, firewalled egress, no public hostnames) plus SOC 2 Type I
+Flexible model and tool sourcing: platform gateway, bring-your-own keys, or pay-per-use tools

Limitations

–Prepaid balance model means you must top up in advance and monitor spend across many sandboxes
–Persona pricing and plan details are only available after contacting the team for the white-label and enterprise tracks
–Documentation and benchmark claims are largely self-published, so independent verification is limited

Thunder Compute

Low-cost cloud GPUs with per-minute instances and per-second sandboxes for AI workloads.

Persistent GPU instances

Launch RTX A6000, L40, A100 80GB, or H100 SXM machines, often ready to SSH into within minutes, and pay only while they run.

Per-second GPU sandboxes

Spin up isolated Ubuntu VMs with or without a GPU for RL rollouts, evals, and CI, billed per second and scaled to zero between runs.

Developer-first tooling

A CLI, VS Code extension, MCP server, and REST API let you drive infrastructure from a terminal, an editor, an AI agent, or your own services.

Snapshots and persistent storage

Save an instance disk as a snapshot and restore it later, so you can pause experiments without leaving machines running.

Strengths & Pros

+Aggressive pricing versus hyperscalers: published H100 rates around $3.20/GPU-hour against $6+ at major clouds.
+Two billing models that match two real workloads: per-minute persistent instances and per-second ephemeral sandboxes.
+No egress fees and no preemption, which removes two common sources of surprise cost and interruption.
+Real developer surface area: CLI, VS Code extension, MCP server, REST API, and templates.