Kling O3
Current status — Verified single-shot generation is available from text, one first frame, or a first-and-last-frame pair. Video reference, transformation, multi-shot, and element workflows remain closed because those contract branches are still ambiguous.
30-second overview
- Verified single-shot generation is available from text, one first frame, or a first-and-last-frame pair. A description is required up to 3,072 characters, with an integer duration from 3 to 15 seconds. 42–1005 credits per request: 720p without/with audio is 14/18 credits per second, 1080p is 18/23, and 4K is 67.
- 42–1005 credits per request: 720p without/with audio is 14/18 credits per second, 1080p is 18/23, and 4K is 67. The local safe subset accepts one or two JPEG/PNG images up to 10 MB each, above 340×340 px, with a 0.4–2.5 aspect ratio.
- Video reference, transformation, multi-shot, and element workflows remain closed because those contract branches are still ambiguous. Verified single-shot generation is available from text, one first frame, or a first-and-last-frame pair.
Popular searches: Can I use Kling O3 now? · Which video modes does Kling O3 support? · Does Kling O3 have official pricing?
Examples
Cinematic scene
A realistic Red Bull World Cup 2026 commercial scene with an elite freestyle footballer standing on the roof of a skyscraper overlooking a stadium city, holding a Red Bull can dripping with condensation - He opens the can, close-up on the crack and fizz; - Energy kicks in, he sprints across rooftops, juggling the ball, jumping gaps and performing impossible freestyle tricks as helicopters film him; - He volleys the ball from the rooftop toward a giant stadium screen, ending with the Red Bull can in foreground and the city celebrating below - Hyper-realistic sports commercial, golden daylight, drone tracking shots, dynamic slow motion, sweat, sparks, urban adrenaline, premium action advertising.
Cinematic scene
Ultra-realistic viral motocross freestyle spectacle with absurd premium sports-commercial energy. Shot on ARRI Alexa 35 with anamorphic lenses, combining low-angle hero shots, aggressive tracking, dramatic push-ins, wheel-level close-ups, speed ramps and suspended slow motion. Bright golden daylight, dust clouds, roaring crowd, fairground-sport atmosphere, premium live-action realism, no cartoon look. Main subject: clearly visible elderly grandmother motocross rider, deeply lined face, grey hair in a neat bun or tucked under a small floral headscarf, warm but fearless expression, no helmet, unmistakably old from the first frame. She wears a classic grandmother outfit: long floral dress, beige knitted cardigan, sensible stockings and old-fashioned shoes, creating a hilarious contrast with her unbelievable motocross skill. Background: excited spectators, one announcer, a few younger riders watching in disbelief. Outdoor motocross freestyle arena in daylight, dirt ramps, landing mounds, crowd barriers, open sky, dust and sunlight, banners without readable text. 0-5s: Immediate hero reveal Start with a clear medium close-up showing her wrinkled face, grey hair, floral dress and cardigan while she sits on a motocross bike at the start line. The audience is confused. Close-up on her calm grandmother face, hands on the handlebars, cardigan fluttering lightly. She revs the bike and launches forward. 5-10s: Dynamic tracking She accelerates hard toward the first dirt ramp. The camera tracks low beside her, emphasizing the absurd contrast between her grandmother outfit and the roaring bike. Dust explodes behind the wheels as she commits fully. 10-15s: Extreme slow-motion freestyle moment She hits the ramp and flies high into the air. In slow motion she performs a completely outrageous freestyle move while still clearly wearing her grandmother outfit: body stretched elegantly off the bike, one hand extended, dress and cardigan fluttering, then smoothly returning to control. Close-ups on the spinning wheels, her focused grandmother face, and the crowd in total disbelief. 15-20s: Epic viral finish She lands perfectly, charges straight into a second jump and performs an even crazier stylish aerial figure, then lands cleanly and rides past camera with total calm, still clearly a grandmother in full granny clothing. The crowd erupts. The announcer shouts in English: “That’s somebody’s grandma?!” Photorealistic motocross physics, grandmother clearly identifiable from the very first second, no helmet, full granny outfit visible throughout, realistic suspension compression, premium slow motion, stable rider continuity, strong viral contrast, clean landings, no crash, no injury, no readable text.
Cinematic scene
Create a 10-second cinematic travel vlog montage. Use the uploaded woman’s face consistently throughout every shot. She is a stunning young female travel creator with long dark wavy hair with curly bangs,wearing fashionable oversized Japanese streetwear (burgundy long leather jacket,shoulder bag), natural makeup, cheerful personality. The entire video should feel like real smartphone footage, with handheld camera movement, imperfect framing, accidental lens flare, slight motion blur, rolling shutter, high ISO noise at night, autofocus hunting, overexposed highlights, slight barrel distortion from a phone wide-angle lens, tiny lens smudges, and natural camera shake. No polished commercial look. Story Flow (10s) 0.0–0.8s Low-angle selfie in front of Tokyo Tower. She smiles naturally while adjusting the phone. Slightly tilted horizon. Bright overexposed cloudy sky. Tiny fingerprint on lens. 0.8–1.6s Walking through Shibuya Crossing at night. Looks back at camera while walking. Neon reflections on wet road. Strong motion blur. Quick whip-pan transition. 1.6–2.4s Inside a Japanese convenience store. Holding an onigiri close to camera. Playful eyebrow raise cutely . Harsh fluorescent lighting. Background shelves softly blurred. 2.4–3.2s Sitting alone in Yoyogi Park. Quiet candid moment. Looking away from camera. Soft sunlight filtering through trees. Slight focus miss. 3.2–4.0s Eating freshly made takoyaki. Instant reaction after first bite. Warm lantern lighting. Face slightly blurred from movement. Laughing naturally. 4.0–4.8s Standing in front of a glowing vending machine. Blue and pink lighting on face. Pressing drink button casually. Visible night grain. 4.8–5.6s Reflection in Tokyo tram window. Layered city lights reflected on glass. She looks outside thoughtfully. Train moving creates light streaks. 5.6–6.4s Walking beneath a Torii gate. Low-angle tracking shot from behind. Turns her head briefly. Motion blur. Bright halo from sky. 6.4–7.2s Immersive digital art exhibition. Blue, purple and gold lights moving across face. Looking upward in amazement. Natural low-light noise. 7.2–8.0s Wide-angle low-angle shot beside the giant silver bullet sculpture. She appears small beneath the sculpture. Phone lens distortion. Sky slightly blown out. 8.0–8.8s Walking through a lantern-lit alley. Camera follows behind. She turns around with a smile. Warm lantern glow. Natural night grain. 8.8–10.0s Rooftop selfie overlooking Tokyo skyline. Wind blows hair across camera lens. Slightly tilted horizon. Overexposed city lights. She laughs naturally while extending one arm toward the skyline. Editing Style * Fast whip-pan transitions * Speed ramps * Match cuts * Natural jump cuts * Handheld camera movement * Slight rolling shutter * Smartphone HDR exposure * Real travel vlog energy * No slow motion * No cinematic movie grading * Authentic TikTok creator aesthetic * Warm skin tones * High realism * Consistent face identity across every scene * 16:9 landscape
Editorial design
Visual transformation
At a glance
Is this model right for you?
42–1005 credits per request: 720p without/with audio is 14/18 credits per second, 1080p is 18/23, and 4K is 67. A description is required up to 3,072 characters, with an integer duration from 3 to 15 seconds.
- What it does best
- Verified single-shot generation is available from text, one first frame, or a first-and-last-frame pair. A description is required up to 3,072 characters, with an integer duration from 3 to 15 seconds.
- Who it is for
- A description is required up to 3,072 characters, with an integer duration from 3 to 15 seconds. 42–1005 credits per request: 720p without/with audio is 14/18 credits per second, 1080p is 18/23, and 4K is 67.
- Why use it on Kyeo AI
- The local safe subset accepts one or two JPEG/PNG images up to 10 MB each, above 340×340 px, with a 0.4–2.5 aspect ratio. Video reference, transformation, multi-shot, and element workflows remain closed because those contract branches are still ambiguous.
Key facts
Quickly evaluate whether this model fits your business use case.
Other names
The same model may have different names in official documentation, community discussions, and API integrations. This section brings them together for you.
Common questions
These practical questions focus on the task, input conditions, and result requirements you should confirm before choosing.
Decision guide
Still deciding? Start with these key decision points.
Need Kling video now — Verified single-shot generation is available from text, one first frame, or a first-and-last-frame pair.
Prepare omni-video evaluation — Video reference, transformation, multi-shot, and element workflows remain closed because those contract branches are still ambiguous.
Avoid price inheritance — 42–1005 credits per request: 720p without/with audio is 14/18 credits per second, 1080p is 18/23, and 4K is 67.
Popular comparisons
Compare common alternatives on the same task to clarify differences in inputs, controls, and cost.
Real-world experience
Practical guidance based on public sources, current on-site limits, and representative tasks.
Capability docs do not make billing safe
Omni branches need separate acceptance
Capabilities
Text to video
Image and reference generation
Video transformation
Use cases
Multi-shot concept films
Reference-character clips
Video restyling
Prompt tips
Keep samples by branch
Record media constraints
Set acceptance metrics first
Why choose it
What to know first
Adjustable settings
Quickly evaluate whether this model fits your business use case.
Credit cost
42–1005 credits per request: 720p without/with audio is 14/18 credits per second, 1080p is 18/23, and 4K is 67.
Before generating images or videos in bulk, run an A/B test with the same input on this model and similar alternatives. Confirm the result first to avoid wasting credits.
Frequently asked questions
Related models
Still deciding? Take a quick look at these similar alternatives.
Kling 3.0
Review Kling 3.0 on Kyeo AI: 3–15 seconds, single-shot or up to 5 multi-shots, first/last frames, sound, and std/pro/4k per-second rates. A fit for specifying first and last frames or splitting a 3–15-second concept into up to 5 short shots. Character consistency, lip sync, text, sound, and shot continuity still require review of the actual result.
Kling 3.0 Turbo
Kling 3.0 Turbo targets 3–15-second video generation. It uses text mode when no image is uploaded and switches to image-to-video when one valid image is supplied. Resolution and duration directly determine the preauthorization amount.
Kling 2.6
Kling 2.6 is a two-workflow video service on Kyeo: text requests use text-to-video, while requests with an image use single-image animation. Both routes offer 5/10 seconds and a `sound` toggle; text generation also provides three aspect ratios. The four Kyeo credit tiers are 55, 110, 110, and 220.
Sources
This page is based on vendor materials, model-family documentation, and Kyeo AI integration settings.
Verified single-shot generation is available from text, one first frame, or a first-and-last-frame pair. Video reference, transformation, multi-shot, and element workflows remain closed because those contract branches are still ambiguous.
42–1005 credits per request: 720p without/with audio is 14/18 credits per second, 1080p is 18/23, and 4K is 67. Video reference, transformation, multi-shot, and element workflows remain closed because those contract branches are still ambiguous.