Graspeo vs jurniti: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Graspeo and jurniti — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Graspeo
Graspeo
Free AI quiz generator that creates quizzes from PDFs, text, or YouTube videos in seconds.
Key features
- Multi-Source Quiz Generation: Generates quizzes from uploaded PDFs, pasted text, or YouTube video links by extracting key points and converting them into questions.
- Instant Creation: Produces complete quizzes in seconds to accelerate preparation of practice tests and classroom assessments.
- Starter Credits: New users receive 100 free credits to experiment with quiz creation without immediate payment or commitment.
- Student & Teacher Focus: Outputs are tailored for study, homework, classroom use, and test preparation to support both learners and educators.
- Web-Based Accessibility: Operates entirely online so users can create quizzes from any device with a browser without installing software.
- Generate quizzes from PDFs
- Generate quizzes from plain text
- Generate quizzes from YouTube videos
- Instant quiz creation via web interface
- Starter allocation of 100 free credits
Best for
- Converting lecture PDFs into practice quizzes for classroom assignments and homework.
- Transforming YouTube lecture videos into question sets for revision and active learning.
- Generating self-assessment quizzes from textbook excerpts or pasted notes to guide study sessions.
- Rapid creation of formative assessments for teachers to evaluate student understanding after a lesson.
- Building question banks from multiple PDF chapters for targeted exam preparation and review.
- Teachers creating assessments from lecture slides or readings
- Students generating practice quizzes from textbooks or notes
- Test-preparation users converting study materials into question sets
- Converting YouTube lecture/video content into interactive quizzes
jurniti
jurniti
Managed 24/7 hosting for coding agents, each running in its own Firecracker microVM with your own model keys and no token markup.
Key features
- Firecracker microVM Isolation: Every agent runs in its own KVM-backed virtual machine with hardware-enforced tenant isolation instead of a shared-kernel container.
- Bring Your Own Key: OpenRouter, OpenAI or Anthropic keys live only inside the customer's VM — jurniti never sees them, never proxies calls and never marks up model spend.
- Multi-Harness Support: Runs Claude Code, Codex CLI, OpenClaw, Hermes, OpenCode, Devin CLI, Mastra and Pi, each in its own dedicated microVM.
- Fleet CLI: A jurniti command-line tool to boot agents, list fleet status, dispatch work and copy results back, so the whole fleet is managed from a terminal.
- Swarm Runtime: Boots dozens of isolated microVM workers at once and dispatches the same brief to every worker, with results collected in a single command.
- Flat Per-VM or Hourly Billing: A flat monthly or annual price per agent VM, or per-second metered On-Demand and Spot pricing for bursty workloads, with prepaid credits.
- Automated Provisioning: Payment triggers a magic-link sign-in and an auto-provisioner that has a live microVM running in about three minutes with no human in the loop.
- Custom Subdomain and Sidecars: Pro tiers add a custom subdomain, alongside separate microVM services for multi-agent communication and long-term agent memory.
Best for
- Always-On Coding Agents: Keeping a Claude Code or Codex agent working on a backlog overnight without leaving a laptop running.
- Secure Key Handling: Running agents for a team that cannot let model API keys leave its own infrastructure boundary.
- Parallel Agent Fleets: Dispatching one brief to fifty isolated workers to compare approaches or parallelize a large refactor.
- Bursty Batch Work: Using per-second Spot or On-Demand VMs for agents that only run a few hours a day, paying only for active runtime.
- Self-Hosting Alternative: Replacing hand-rolled VPS setups for open-source agent harnesses like Hermes, OpenClaw or OpenCode.
- Long-Running Agent Memory: Pairing an agent VM with a dedicated memory microVM so knowledge persists between sessions.
