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Pricing

The serve runtime, all 14 wedges, every CLI command, every doc you’re reading — open source under BSL 1.1, free forever for personal, academic, and commercial use that doesn’t compete with FastCrest’s own hosted offering.

The Pro tier exists for one specific feature: continuous self-distillation. Reflex serves your model in production while quietly distilling a customer-specific 1-step student from your traffic, gating with a 9-check methodology, and hot-swapping when the new student passes. No other deployment tool ships this; we ship it because we own both the serve runtime and the distill pipeline.

Open source

$0 / forever

All 14 wedges. Full CLI. Local Pagefind search. ONNX export with cos = +1.0 parity. SnapFlow distillation. Discord support. Community Pro previews.

Includes continuous self-distillation OFFLINE — train a student manually, manually swap into production.

Pro

$99 / month per deployment

Everything in Open source, plus:

  • Continuous self-distillation loop (collect → distill → eval → swap, every N hours)
  • 9-gate eval methodology (3 SAFETY non-overridable, 6 PERFORMANCE overridable with audit)
  • Atomic warm-swap via policy versioning (≤ 60s SLA)
  • 24-hour post-swap monitoring with auto-rollback
  • Customer-specific HF Hub artifact storage
  • Weekly auto-distill report (CLI today; email + Slack adapters in Phase 1.5)
  • Email support, 1 business day response

Includes 4 distill runs/month (Modal A100, ~$8-12 each) + 8 eval runs/month (Modal A10G, ~$1-4 each), with a $60/mo Modal spend cap.

Enterprise

Custom

Everything in Pro, plus:

  • On-prem deployment (no HF Hub dependency)
  • SSO (SAML / OIDC)
  • Dedicated support engineer
  • SLAs on response time + uptime
  • Custom embodiments + custom training-loop integration
  • Hosted Reflex offering (if you want to be a partner reseller)

Contact us — typically responds in 1-2 business days.

CapabilityOpen sourceProEnterprise
reflex go / reflex serveyesyesyes
All 14 runtime wedgesyesyesyes
reflex export with cos = +1.0 parityyesyesyes
SnapFlow 1-step distillationmanual (via reflex train distill)continuous loopcontinuous loop
9-gate eval methodologyyesyes
Atomic warm-swap (policy versioning)substrate only (single-policy circuit breaker)full 2-slot rollbackfull 2-slot rollback
24h post-swap monitor + auto-rollbackyesyes
Customer-data fine-tuneyesyes (with custom training loops)
Weekly Pro reportCLI; email/Slack in P1.5CLI + email + Slack
HF Hub artifact storageDIYincludedoptional (or on-prem)
Reflex Compute Pack hardware bundlePhase 2 deliverable; reach out for pre-orders
Reflex chat (GPT-5 Mini hosted proxy)100 calls/day freeunlimitedunlimited
Discord supportcommunitycommunity + tagged @fastcrestdedicated channel
Email response SLAbest-effort1 business daynegotiated
Uptime SLAnonenone99.5% / 99.9% / 99.99% (negotiated)
LicenseBSL 1.1BSL 1.1negotiated commercial license
  • Modal compute for distill / eval runs (you pay Modal directly; ~$8-12/distill, ~$1-4/eval on A100/A10G)
  • Hardware (Jetson kits, RTX workstations, etc. — bring your own; Phase 2 hardware bundles will be cost-passthrough)
  • HuggingFace Hub storage if you self-host artifacts (your HF account, your storage budget)

A typical Pro customer running one robot deployment:

Line itemMonthly $
Reflex Pro license99
Modal: 4 distill runs × $1040
Modal: 8 eval runs × $216
HF Hub: ~5 GB artifact storage0 (free tier)
Total run cost~$155 / mo

You pay Modal directly via your own account; Reflex never proxies your compute. The Pro license unlocks the orchestration; the compute spend is at-cost.

Reflex’s source is licensed under BSL 1.1. The Pro license is a separate commercial agreement that grants access to the continuous-distill loop’s licensed binaries (Pro tier ships as a separate package extra). Cancelling Pro reverts your install to the open-source feature surface; the open-source code keeps working forever.

  • Hobbyists / students / hackathon teams — Open source. Always.
  • Academic labs publishing on VLAs — Open source for the experiments; Pro if you’re running a lab-wide deploy that benefits from continuous distill.
  • Robotics startups (5-50 people) — Open source initially, Pro once you’re shipping to customers and need continuous improvement.
  • Robotics OEMs / integrators (50+ people) — Enterprise — custom embodiments + on-prem usually matter, plus you want a real SLA.
Terminal window
# Get a Pro license (Phase 1: dev license bound to current hardware;
# Phase 1.5 moves to a real license server)
python -c "from reflex.pro import issue_dev_license; issue_dev_license(customer_id='your-org')"
# Or contact us for the production license server
# hello@fastcrest.com

The Pro feature gates --pro on the serve command. Without a valid license, the flag is rejected at startup with a clear error — no silent fallback.