Freesolo Flash vs jurniti: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Freesolo Flash and jurniti — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Freesolo Flash
Freesolo
Post-training platform driven by AI coding agents like Claude Code and Cursor — returns deployable specialized models.
Key features
- Agent-Driven Workflow: Claude Code, Cursor, or Codex describe the run in natural language and launch training
- Fixed-Price Quotes: Flash returns one quote and ETA up front — no per-token metering or GPU-hour surprises
- SFT + GRPO Pipeline: Supervised fine-tuning followed by reinforcement learning past the frontier baseline
- Custom Kernels: FlashAttention, fused SwiGLU, RMSNorm, RoPE and QK-norm optimized per model architecture
- Exportable Weights: Every run returns downloadable weights in standard formats to serve on your own infrastructure
- Data Isolation: Encrypted in transit and at rest, never used to train anything but your model
- Reproducible Runs: Pinned configs, seeds, and checkpoints so every run always finishes
Best for
- Turn generic LLM capability into a specialized production feature for your product
- Have an AI coding agent orchestrate the entire fine-tuning loop without leaving your IDE
- Retrain small specialized models on the fly as your task data evolves
- Route the 90% routine tail of LLM calls (classify, extract, rerank, moderate) to a cheap specialized model
- Beat a frontier model's zero-shot accuracy on a domain task with a sub-10B tuned model
- Keep model weights in-house instead of relying on hosted API-only fine-tuning
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.