Coasty vs Octomind Cloud and Hub: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Coasty and Octomind Cloud and Hub — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Coasty
Coasty
Computer-use AI agent and API (85.60% OSWorld) that browses, clicks and types across real desktop apps to finish work end-to-end.
Key features
- Best-in-Class Computer Use: Ranked #1 on OSWorld at 85.60%, executing long-horizon tasks across real desktop applications.
- Predict API: `/v1/predict` accepts a screenshot and returns the next action as structured JSON at $0.05 per call.
- Always-On Virtual Machines: Persistent, always-on VMs let agents keep state between tasks and pick work up where they left off.
- Agent Swarms: Run multiple agents in parallel to fan out across steps or accounts, cutting wall-clock time on repetitive work.
- 1,000+ App Integrations: Ships with native integrations to common productivity apps like Gmail and Slack out of the box.
- Synthetic Trajectory Data: Delivers custom long-horizon multimodal training trajectories verified before delivery for enterprise buyers.
Best for
- Back-Office Automation: Insurance, accounting and freight teams delegate repetitive desktop work — data entry, form filling, portal ops — to agents.
- Autonomous Web Tasks: Consumers ask Coasty to book appointments, research options and complete purchases end-to-end.
- Developer Automation: Engineers embed the Predict API into their own harnesses to build custom agentic workflows.
- Healthcare Ops: Clinics use computer-use agents against legacy systems that lack modern APIs.
- Data Collection at Scale: Enterprises order synthetic multimodal trajectories tuned to their apps for model fine-tuning.
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Octomind Cloud and Hub
Octomind
Cloud runtime for coding agents — spin up a container with the octomind agent, chat from any device, resume anywhere.
Key features
- Managed Coding Containers: Pick a machine image and size in seconds and get a container with octomind and its models preinstalled, no API keys to collect or servers to babysit.
- Cross-device Sessions: Every session streams in the browser with tool calls and permission prompts and replays on any device, so the same job you started on your desk can be reviewed from your phone.
- Shared Memory Directory: One account-wide directory — code index, agent memory, session history — mounts into every machine so you index a codebase once and reuse it everywhere.
- Zero Model Setup Gateway: A built-in model gateway ships free open coding models on every plan and premium models (Claude, GPT) via credits, with no provider accounts required.
- Custom Docker Base Images: Bring a Docker image built FROM the octomind base to ship the exact toolchain and dependencies your agent needs.
- Web Shell for Advanced Runs: Open a real bash terminal into the container to run octomind by hand, install tools, or debug — the same box the agent is using.
- Per-second Billing With Suspend: Machines bill only while they work, auto-suspend after configurable idle (5–60 min), and archive cold data after three days to keep costs near zero when idle.
- Developer API On Every Plan: A scriptable REST API is on every tier (30 to 600 req/min) so agents, workflows, and machines can be automated end to end.
Best for
- Ship From Anywhere: Kick off a refactor at your desk, approve the plan from your phone at lunch, review the diff at home — one session, one machine.
- Long-running Agent Work: Big migrations, research sweeps, and batch processing keep running after the laptop closes so users come back to a finished job.
- Offload Heavy Local Tasks: Index a large codebase, run test suites, or build containers on a Cloud machine while the local laptop stays cool and free.
- Team Coding Fleet: Team plan gives a shared pooled usage allowance and per-member limits so a whole squad can run agents from one account.
- Prototyping With Free Models: The free tier's Tiny machine and free open-model quota is enough to trial an agent-driven workflow without a credit card.
- Custom Toolchains: Ship a Docker image with the exact dependencies (frameworks, DB clients, private mirrors) and get identical machines for every run.