Superluminal vs RenderJuice
By Superluminal Engineering
RenderJuice's four jobs used 175 of 2,000 monthly GPU minutes, an allocated $4.29 of the $49 plan. Superluminal delivered each scene to local disk sooner.
Published 2026-08-04 · Updated 2026-08-07
For each scene, Superluminal finished the local frame set first. The four RenderJuice jobs used 175 of the plan's 2,000 GPU minutes, an allocated $4.29 of its $49 monthly price.
Superluminal and RenderJuice in the benchmark ranking
Both services are selected. The other six farms stay visible but muted for context.
RenderJuice ranked third overall at 121.2. Its Time Score was 93.7, and its Price Score was 176.2. The benchmark method compares the plan's allocated cost with exact per-job charges.
Subscription cost
RenderJuice showed GPU-minute use, not a per-job dollar charge. Its Hobbyist plan started at $49 per month with 2,000 GPU minutes. We allocated the plan price across that quota for comparison.
| Scene | Fastest Superluminal render pipeline | RenderJuice render pipeline | RenderJuice usage | Allocated plan cost |
|---|---|---|---|---|
 Classroom | 90.5 s | 289.3 s | 64 GPU min | $1.57 |
 Junk Shop | 64.5 s | 234.1 s | 40 GPU min | $0.98 |
 Monster Under the Bed | 59.9 s | 204.2 s | 37 GPU min | $0.91 |
 Fox (EEVEE) | 66.5 s, 10 nodes | 342.3 s | 34 GPU min | $0.83 |
The account costs $49 whether one job uses 34 minutes or the account uses all 2,000 minutes.
Superluminal has no monthly position to manage. Each job settles as its own exact dollar charge, the four scenes above came to $4.40 at 30 nodes, and the cost calculator prices an animation before you commit to anything.
Superluminal recorded workflow
RenderJuice recorded workflow
Packing, capacity, and output
RenderJuice's desktop app packed the project, but the app cannot submit. Submission happened in a browser, so each project change meant pack in one program, upload in another. We measured an effective upload rate of 5.4 MB/s.
Upload alone starts nothing. A separate Render action starts the job after the upload finishes, and while the job runs the interface shows no machine count at all. The advertised speed is the only capacity signal you get.
Submitting to Superluminal is one action in one place. The add-on packages the project, checks its dependencies, uploads in parallel chunks, and the job starts without a second control. While it runs, the job page names the exact machines working, not an advertised equivalent.
RenderJuice advertised speed equal to 30 RTX 3090 GPUs. Based on 64 GPU minutes over 183.7 seconds of active rendering, we infer an average of about 21 RTX 3090 equivalents.
RenderJuice created one ZIP after each render (Classroom record). The last file reached local disk 17.2 to 41.6 seconds after RenderJuice reported completion.
Superluminal does not make you wait for an archive. Finished frames arrive on disk individually while the job renders, in their original output format, ready to open as they land.