MOSS-Image Pricing (2026): Per-Image Billing on fal + Free Self-Hosting

Quick Answer

Official per-image price not listed; the model is open-source and free to self-host.

On October 16, 2026, OpenMOSS open-sourced MOSS-Image — a 5B-parameter text-to-image model built for Chinese and English text rendering, under Apache 2.0. It is also on fal's model marketplace (fal-ai/moss-image) with per-image billing, but fal's model page is JavaScript-rendered and we could not verify an official per-image price. This guide covers what we could verify: fal's billing model, self-hosting costs, and how to budget before official pricing lands.

1. What MOSS-Image Is (30-Second Brief)

MOSS-Image is an open-source text-to-image model family released by OpenMOSS on October 16, 2026 (source: official project page at openmoss.ai). It is a 5-billion-parameter single-stream DiT paired with a Qwen3.5 9B text encoder and the FLUX.2 VAE, with its headline feature being in-image text rendering: long Chinese and English text and poster layouts come out legible. Two checkpoints ship: Base (raw, for fine-tuning) and SFT (supervised fine-tune, recommended for generation). License is Apache 2.0 — weights and inference code are cleared for commercial use. fal's model page (https://fal.ai/models/fal-ai/moss-image, URL verified live on 2026-10-21) describes it as specializing in Chinese and English text rendering and structured layout control for precise text placement.

2. Billing on fal: Pay Per Image, No Subscription

fal's general billing model is pay-per-output: per image for images, per second for video — no subscriptions, no reserved capacity (source: fal's official pricing page; third-party aggregator costbench.com, August 2026 data: roughly $0.02–$0.09 per image on fal depending on the model). For the moss-image endpoint specifically, we could not verify an official per-image price — fal's model page is JavaScript-rendered and the number is not reachable. So this article states no exact unit price: treat any third-party quoted moss-image price as unverified and check fal's live model page. For rough budgeting, fal's general image range ($0.02–$0.09/image, third-party data) works as a placeholder until official pricing appears.

3. Self-Hosting Cost: Free Model, GPU Is the Bill

Because it is Apache 2.0, self-hosting MOSS-Image costs nothing in licensing. The bill is the GPU: a third-party ComfyUI guide (bestfreewebresources.com, 2026-10-20) estimates ~8GB VRAM at 1MP and ~10GB at 2MP with the int8 build and the text encoder offloaded; the official template downloads ~13GB of files. A measured data point: dslab.tw's lab notes (2026-10-20, third-party test) ran a single RTX 5090, int8, 25 steps at ~7 seconds per 1024×1024 image. ComfyUI supports it natively in 0.41.3+ (nightly), or via OpenMOSS's official plugin. Bottom line: with a 12GB+ card, self-hosting costs you electricity; without a GPU or for batch jobs, fal's per-image billing is the low-friction route.

4. Three Ways to Run It, Compared

First, fal API pay-per-image: zero ops, metered billing — best for occasional use or skipping setup; per-image price per fal's official page (exact number currently unverified). Second, local deployment: free model, one-time GPU cost plus electricity — best for high volume (hundreds of poster tests a day). The crossover math from third-party data: at fal's ~$0.02–$0.09/image, 100 images a day is $2–$9/day, $60–$270/month — at that volume a dedicated GPU pays for itself in months. Third, distilled speed-ups: the community already ships 8-step and even 4-step LoRAs (see part 3 of this series), cutting steps from 50 to 8 — self-host cost drops further, with some quality loss, good for the draft stage.

5. How to Budget Before Official Pricing Lands

Three steps: estimate a monthly range from fal's general image band ($0.02–$0.09/image, third-party data) times your volume; compute the electricity-cost line for local deployment; compare the two to see which side your volume belongs on. When fal publishes the exact moss-image unit price, swap it into the first line. Pricing info in this article is current as of 2026-10-21; fal prices can change — check https://fal.ai/models/fal-ai/moss-image before spending.

6. Sources and Disclaimer

Sources: 1) OpenMOSS official project page https://openmoss.ai/MOSS-Image/ (verified 2026-10-21): Oct 16 2026 release, Apache 2.0, 5B backbone, 4K tokens, JSON layout control; 2) OpenMOSS GitHub USERGUIDE.md: 50 steps / CFG 3 / Euler / shift 5, no reference-image input; 3) fal model page https://fal.ai/models/fal-ai/moss-image (URL verified 2026-10-21): Chinese/English text rendering and structured layout control; per-image price not directly verifiable on the page; 4) HuggingFace https://huggingface.co/lodestones/MOSS-Image-SFT-8-steps-dmd: third-party 8-step distilled LoRA; 5) third-party data: costbench.com (fal price band, Aug 2026), bestfreewebresources.com (VRAM estimates, 2026-10-20), dslab.tw (RTX 5090 test, 2026-10-20) — third-party identity and dates noted. Disclaimer: this site is not affiliated with fal or OpenMOSS; MOSS-Image trademarks and model rights belong to their owners; prices per fal's live official page.

Frequently Asked Questions

How much is one MOSS-Image generation on fal?

We could not verify a citable per-image price on fal's official model page (it is JavaScript-rendered), so this article states no exact number. Check https://fal.ai/models/fal-ai/moss-image live; a rough placeholder is fal's general $0.02–$0.09/image band (third-party data).

What GPU do I need to run MOSS-Image locally?

Third-party estimates: ~8GB VRAM at 1MP, ~10GB at 2MP with the int8 build and text encoder offloaded. The official template downloads ~13GB. A 12GB+ card runs it comfortably.

Can I use MOSS-Image commercially?

Yes. OpenMOSS confirms Apache 2.0 for weights and inference code — commercial use allowed, no revenue threshold.