Free Blender cloud rendering, compared

Updated 2026-10-02

Truly free Blender cloud rendering today means SheepIt (volunteer farm, you render for others), a free notebook GPU (limited, manual), or JANCTION Render's free beta: 10 GPU-minutes per key per day on datacenter NVIDIA GPUs, no sign-up, no card, callable from Claude, ChatGPT, Codex, Cursor or curl. Commercial farms give trial credits, then charge.

What "free" means at each place

servicefree partcatch
SheepIteverythingyou earn render time by rendering other people's projects; queue; no API
Google Colab and other notebookssome GPU time on the free tierlimits change, sessions end, you install Blender and move files yourself
Commercial render farmstrial credits on sign-up (amounts vary)then paid per GPU-hour; account and add-on required
JANCTION Render10 GPU-minutes per key per day, up to 240 frames at 1080p per jobbeta: no availability guarantee; paid plans will be announced before they start

Figures as of 2026-10-02; check each service's site for current terms.

See it work: the 40-second demo

Claude.ai writes a bpy scene, gets a 4-frame preview in about 4 GPU seconds, then the 24-frame MP4.

Real measured times by resolution, frame count and samples: benchmarks. Colab in detail: Google Colab vs JANCTION Render.

What 10 GPU-minutes buys

jobGPU timenote
preview, 4 frames (720p split in 4 tiles, 16 samples, denoised)about 4 sround trip about 8 s; the image comes back inline
final, 24 frames at 1280x720, 64 samples → MP4about 60 smeasured 2026-09-30 / 10-01 (59 s and 58 s)
final, one 1920x1080 frame at 128 samplesabout 11 sthe estimator's baseline; heavy scenes take longer

render_estimate gives the number before rendering; once a scene has been rendered once, the estimate uses that scene's own measurement.

In practice: a few previews and one or two short 720p clips a day, or one 1080p still at high samples. The quota resets at 00:00 UTC.

Getting the free key

There is no sign-up form. Connecting from Claude.ai or ChatGPT creates a key on a consent page; the command line and the HTTP API get one from POST /v1/keys.

fromhow
Claude.ai (web / desktop / mobile)Settings → Connectors → Add custom connector → https://render.janction.jp/mcp. "Connect" opens a page that creates a free key
ChatGPTSettings → Connectors → Advanced → Developer mode → Create → https://render.janction.jp/mcp (OAuth)
Claude Codeclaude mcp add --transport http janction-render https://render.janction.jp/mcp, then /mcp to authenticate
Codexcodex mcp add janction-render --url https://render.janction.jp/mcp
Cursor and other MCP clientsStreamable HTTP at https://render.janction.jp/mcp; OAuth or Authorization: Bearer <api key>
Terminal (stdio, sends local files)claude mcp add janction-render -e JANCTION_RENDER_SERVER=https://render.janction.jp -- uvx --from janction-render janction-render-mcp
Using JANCTION Render, build a glossy red cube rotating on a grey floor and show me a 4-frame preview.
If it looks right, render 24 frames at 1280x720 as an MP4.
A 4-frame preview rendered by JANCTION Render (a rotating red cube)
The 4-frame preview Claude.ai got from that prompt: 4 GPU seconds. The 24-frame 720p MP4 that followed took 58 GPU seconds (2026-10-01, RTX PRO 6000).

Turntable. orbit=true makes a camera circle the scene once (default 24 frames): a preview shows four angles, a final render gives the whole turn as an MP4. Handy for an imported model.

A 48-frame turntable (960x540, 24 samples, studio preset) made with render_final(orbit=true) from a bpy script: 76 GPU seconds on JANCTION Render, 2026-10-02.

Inputs: a .blend (send external images along, or pack them: File → External Data → Pack Resources), a bpy Python script (no local Blender needed; set the scene, camera and frame range only, the service sets engine, resolution and samples), or a 3D file (glTF/GLB, FBX, USD, OBJ, STL, PLY, Alembic, imported into an empty scene). A scene without a camera or light gets an automatic one and the response says so under warnings. environment = studio / sunset / overcast / night lights the scene with a bundled HDRI; a preview with environment="compare" shows the same frame under all four presets in one labelled image.

The same Blender scene (a monkey head and a metal cube) rendered with the environment presets studio, sunset, overcast and night
The same scene under the four presets. No lighting work in the script: pick one and the first render already looks finished (rendered by JANCTION Render, 2026-10-02).

Free limits in full

Free beta (as of 2026-10-02): 10 GPU-minutes per key per day (20 per network), final renders up to 240 frames at 1080p. No sign-up: connecting creates a key. Inputs and results are deleted 24 hours after last use and never used for training. Paid plans will be announced on this site and in llms.txt before they start.

FAQ

Will the free tier disappear?

Paid plans are planned, but the free beta stays until they are announced on this site and in llms.txt. The announcement comes before any charge.

Why is there a per-network limit too?

To stop one person from creating many keys. Each key gets 10 GPU-minutes; the same network gets 20 in total per day.

What happens when the quota is used up?

The API answers 429 quota_exceeded with resets_at; the agent tells you when it resets, or proposes a smaller job (fewer frames, lower samples).

Related

Overview · llms.txt

JANCTION Render v0.3.2 · JasmyLab Inc. · 日本語