Generative video is billed per output-second everywhere else — $0.04 to $0.30 for every single second you render. Here you buy render time, not clips. From $199 a month to test, up to a whole GPU reserved for you where nothing is metered at all. HunyuanVideo, Wan, LTX, FLUX and Qwen-Image, and every discarded take is free.
Every render counts against the meter, including the eleven you threw away before the one you kept. On a dedicated GPU the discarded takes are free. The crossover is about 10.4 hours of finished output a month — below that a metered service is genuinely cheaper, and we would rather you knew.
| What you render in a month | Rate elsewhere | Billed per second | With OptraCloud | You save |
|---|---|---|---|---|
| 10 hrs of finished 1080p | $0.04 / secLTX-2 fast | $0 | $1,489 | +$49metered still wins here |
| 30 hrs of finished 1080p | $0.04 / secLTX-2 fast | $0 | $1,489 | $2,8312.9× cheaper |
| 75 hrs of finished 1080p | $0.04 / secLTX-2 fast | $0 | $1,489 | $9,3117.3× cheaper |
| 75 hrs, cinematic | $0.075 / secHunyuanVideo 1.5 | $0 | $1,489 | $18,76113.6× cheaper |
Per-second rates published by fal.ai, August 2026: LTX-2 and LTX-2.3 Fast $0.04/sec at 1080p rising to $0.16 at 2160p, LTX-2 Pro $0.06/sec, HunyuanVideo 1.5 $0.075/sec. Throughput figures assume one RTX PRO 6000 Blackwell at sustained load. Render less than about 10 hours a month and per-second billing is cheaper.
Kling, Runway, Higgsfield and Luma sell credits to creators, and a credit buys one clip. That is the right product if you publish a few videos a month. It falls apart the moment you need thousands — product shots for a catalogue, localised ad variants, or training footage at scale.
| Platform | Plan | Per month | What that buys | Cost per clip |
|---|---|---|---|---|
| Runway | Pro | $35 | 2,250 credits · about 9 clips | ~$1.30 |
| Higgsfield | Ultra | $84 | 3,000 credits · Sora 2 and Veo cost 40-70 each | ~$1.00 |
| Kling AI | Ultra | $180 | top consumer tier, still credit-metered | metered |
| Luma | entry | $30 | credit pool | metered |
| Raw GPU rental, India | per-hour, self-serve | $1,070 | the card only — no models, no fine-tunes, no support | — |
| OptraCloud | Video, dedicated GPU | $1,489 | about 75 hours of 1080p · roughly 54,000 five-second clips | ~$0.0520-25× cheaper |
Published plan pricing, August 2026. Kling 3.0 is quoted at $1.00 per clip on Higgsfield and $1.30 on Runway. Clip-count for OptraCloud assumes five-second 1080p renders on one RTX PRO 6000 at sustained load. These platforms run closed frontier models — Sora 2, Veo, Kling 3.0 — which still lead open weights on some prompts, so this is a comparison of cost per unit of output, not of model quality. If you publish a handful of hero videos a month, buy one of their plans. At volume, the credit meter is what stops you.
Price is the obvious difference. These four decide whether a pipeline is possible at all.
Train LoRAs on your products, your brand, your characters, your existing library, then generate output that looks like your work. Runway, Kling and Luma do not offer this at any tier, because the weights are not yours to touch.
Closed models refuse categories wholesale: medical and surgical imagery, security and defence footage, firearms, injury, some historical material, named public figures. That is a blanket policy applied to the whole category. On your own weights there is no gate, and no clip is submitted to anyone for approval.
Fixed seeds against versioned weights that we pin and you control. Hosted models are updated underneath you without notice, so a shot you approved in March cannot be regenerated in September. Re-cutting a campaign or defending a deliverable depends on it.
Per-clip billing charges you for the eleven takes you discarded before the one you kept. Here they are free, so a catalogue costs the same as nine clips.
Sora 2, Veo 3.1, Kling 3.0 and Runway Gen-4.5 still lead open weights on cinematic physics, camera movement and native synchronised audio; our models render silent video and you add audio separately. Open weights are ahead on stylised and animated work, where Wan 2.6 is the clear leader, and on anything needing a fine-tune. Use the frontier models for a hero shot; use this for the other four thousand.
Two ways to buy the same models. Shared capacity is cheap and batched, so you can prove the quality before spending. Dedicated is a card nobody else touches, where every job starts the moment you submit it.
Your jobs run on shared capacity and queue behind dedicated customers. Same models, same output quality, same API; you wait for a slot instead of owning one. It is the cheapest way to check the quality before committing to hardware.
A GPU reserved for you with nothing else on it. No queue, no wait, no cap on how much you render — submit a job and it starts. This is also the only track where we fine-tune on your footage and pin model versions for you.
A GPU-hour is one hour of the card working, not one hour of finished video. One RTX PRO 6000 renders roughly 12 minutes of finished 1080p per GPU-hour, so 25 GPU-hours is about 5 hours of usable footage — including every take you discard, because the card is working on those too. Higher resolutions cost proportionally more: 1440p consumes about 2× the GPU-time of 1080p and 2160p about 4×. Dedicated plans are not metered at all; the figures there are what the card can physically produce if you run it flat out for a month, and 60–80 hours is what a busy studio actually uses. Both tracks run the same models and return the same files, and moving between them needs no migration — same endpoint, same keys.
Included in the plan that covers it — no per-model licence, no surcharge for the expensive ones. Ask for anything not listed and we will load it.
| Model | From | Output | |
|---|---|---|---|
| Video | |||
| HunyuanVideo 1.5 | Tencent | 720p / 480p | |
| Wan 2.6 14B | Alibaba | 720p | |
| Wan 2.2 | Alibaba | 480p | |
| LTX-2.3 | Lightricks | 1080p / 1440p / 2160p | |
| LTX-2 | Lightricks | 1080p / 1440p / 2160p | |
| CogVideoX-5B | Zhipu | 720p | |
| Mochi 1 | Genmo | 480p | |
| Image | |||
| FLUX.2 | Black Forest Labs | up to 4MP | |
| Qwen-Image 20B | Alibaba | up to 2MP | |
| Stable Diffusion 3.5 Large | Stability | 1MP | |
| SDXL + refiner | Stability | 1MP | |
| Z-Image | - | 1MP | |
| Audio | |||
| Whisper large-v3 | OpenAI | transcription | |
| Parakeet TDT | NVIDIA | transcription | |
| F5-TTS | - | text to speech | |
| CosyVoice 2 | Alibaba | text to speech | |
| Kokoro | - | text to speech | |
| MusicGen / Stable Audio | Meta / Stability | audio generation | |
Below roughly 20 hours a month, per-second billing wins. Move the slider.
OptraCloud is the AI infrastructure arm of Globussoft Technologies, incorporated 2012. We run the facility, announce our own address space, and hold the certifications your security review will ask for.
Certificates are held by Globussoft Technologies Pvt. Ltd. — ISO/IEC 27001:2022 for information security, cyber security and privacy protection (cert IC-58930/1225, valid to December 2028) and ISO/IEC 27018:2019 for personally identifiable information in public cloud (GCS/ITST/8532). We send full certificates and scope statements on request, before you commit to anything. 300+ engineers, serving over two million users across 50 countries since 2012.
Billed in dollars or rupees, whichever suits your accounting. Indian customers get GST invoices on every bill with no forex markup and no card-network conversion fee.
No reservation, no minimum term, no cancellation fee. Annual prepay earns a discount if you want one, but nothing on this site requires a commitment to get the price you see.
Flat plans do not meter tokens, render seconds or requests. Hourly billing stops the second you destroy the instance. Overages, where they exist, are published on this page.
| Is my data used for training? | No. Nothing you send is logged, retained beyond the request, or used to train anything. On dedicated plans the weights and the machine are yours for the term. |
| What happens if I outgrow the plan? | Move up a tier or add a card. Same endpoint, same API keys, no migration and no re-onboarding. |
| Can I bring my own model? | Yes. Any open-weight model that fits the VRAM, plus your own fine-tunes and LoRAs. Ask and we load it. |
| Where is the hardware? | One facility we own and operate, with dual-carrier transit and our own ASN. If your contract requires a specific jurisdiction, we can commit to it in writing. |
| What is the SLA? | Availability targets go in the contract. Ask during evaluation and we will be specific about what we will sign. |
| Do you offer a trial? | Shared plans start at $199 a month and cancel any time, which is a cheaper way to test quality than any trial we could design. Hourly GPUs start at $0.39. |
We will come back to you within one business day to understand the workload, confirm the model and hardware that fit it, and agree a timeline.
No card required. We reply within one business day — [email protected]
We have your request and a named engineer will be in touch within one business day to talk through what you need.