Aurora Solar’s Actual 2026 Pricing Tiers
Aurora Solar’s published pricing runs three tiers. Basic costs $159 a user a month billed monthly, or $135 a user a month billed annually, a 15% savings, capped at 50 projects a month for a single user, and includes tablet-friendly proposals and on-demand site models. Premium, Aurora’s own “Most Popular” tier, costs $259 a user a month, or $220 annually, and adds LiDAR-assisted modeling, bankable shade reports, and battery storage modeling covering backup, self-consumption, and arbitrage scenarios. Enterprise is custom-priced per project and adds AI-assisted site models, unlimited users, APIs and integrations, and dealer-specific configurations. On-demand site models, sold separately from any tier, start at $9.99 and vary by how fast the turnaround needs to be.
OpenSolar Is Free, Not Just Cheap
OpenSolar states directly that it operates as “100% Free of charge,” with explicit “zero cost” language and no premium tiers or paid plans anywhere on its site. That is a structural difference from a company that happens to price low, not a discount version of a paid product. OpenSolar states it donates 1% of its annual revenue to solar electrification efforts in underserved communities, which is how the company frames its own business model rather than charging individual designers for seats.
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Book a Solar CallScanifly Does Not Publish Pricing At All
Scanifly’s own site contains no pricing tiers, cost ranges, or subscription information anywhere. The only path to an actual number is booking a demo or emailing the company directly. That is a real, citable fact about the product category itself, not a research gap: it means any “Scanifly costs $X” figure appearing on a third-party comparison site is necessarily secondhand or estimated, never a number Scanifly has confirmed publicly.
Choosing Between Free, Tiered, and Sales-Gated
These three platforms are not really priced on the same axis. Aurora is transparent, tiered, and priced for a design-heavy workflow that wants LiDAR-level detail and financeable shade reports built in. OpenSolar is transparent and free, which makes the real trade-off feature depth and support model rather than dollars. Scanifly is opaque by design, requiring a sales conversation before a team even knows what number it is comparing against the other two.
For a sales org sizing its own software stack, that means the decision is rarely “which is cheapest.” It is closer to: does the extra $259-a-month Aurora Premium seat pay for itself in faster, more bankable proposals, or does a free OpenSolar seat cover what most reps need day to day, with Scanifly worth a demo call only if aerial-measurement-specific features are the deciding factor. That question matters more with Wood Mackenzie projecting customer acquisition cost spiking 40% to $0.84 per watt in 2026, since a $259-a-month design seat is a real line item to defend against a margin that is already under pressure from the acquisition side.
| Platform | Entry price | Top published tier | Pricing model |
|---|---|---|---|
| Aurora Solar | $159/user/mo ($135 annual) | $259/user/mo Premium | Published, tiered |
| OpenSolar | $0 | $0, no paid tiers exist | Fully free |
| Scanifly | Not published | Not published | Demo or email only |
Figures from each vendor’s own current pricing page, accessed August 2026. Aurora’s Enterprise tier and Scanifly’s full pricing are custom-quoted or undisclosed.
What this means for you
- Aurora Solar runs $159 to $259 a user a month depending on tier, with Premium adding LiDAR modeling, shade reports, and battery storage modeling.
- OpenSolar is structurally free, not discounted, with no paid tiers anywhere on its site.
- Scanifly publishes no pricing at all; any third-party cost figure for it is secondhand, not vendor-confirmed.
- The real decision is rarely which platform is cheapest, since two of the three do not compete on price at all.
Sources
The external data in this guide draws on the sources below. Figures described in the text as estimates or industry triangulations are directional and are not attributed to a single dataset.