> ## Content Index > Fetch the complete content index at: https://theseguysknow.io/llms.txt > Use this file to discover other available public pages before exploring further. # Best AI Image-to-Video Generators in 2026: 4 Popular Models Tested - URL: https://theseguysknow.io/best-ai-image-to-video-generators-2026/ - Published: 2026-08-12T15:54:44.000Z - Updated: 2026-08-27T10:42:55.000Z - Description: Seedance made the best AI image-to-video clips in my three tests. Kling came surprisingly close for around one-third of the price. - Author: Mike Hazard - Tags: AI & Tech, AI Tools & Models, #how we know AI video moves too quickly for loyalty. Somebody releases a new model, everybody runs over to try it, Twitter fills with impossible demos, and a month later half the same people quietly return to the old model that still does the job. I wanted a simpler answer. If I start with one good image and need a believable short video of a person, which model would I use right now? I tested Seedance 2.5, Kling O3 Pro, Google Veo 3.1 and Wan 2.7 Pro with three source images: a close portrait, a woman walking beside a pool and a perfume advert with real hand-to-object contact. Each model received the same image and the same requested action. I kept the first result. The source images came from Nano Banana Pro. I thought about using Seedream, but I have worked with Nano Banana for so long that changing now would feel like betraying an old friend. More importantly, I still think it is the best image generator I can use for this kind of work. My favourite bro stayed in the team. ## Quick Answer Seedance 2.5 made the best videos in this test. It gave me the strongest faces, the most convincing eyes and micro-expressions, and the best perfume interaction. If quality mattered more than price, that is the model I would choose. Kling O3 Pro came second, but it is probably the more practical recommendation for most people. It cost around one-third as much as Seedance on WaveSpeed and was much closer in quality than that price difference suggests. Veo 3.1 finished third. Wan 2.7 Pro was clearly fourth for this specific kind of human, fashion and advertising work. | Rank | Model | Best part of my test | Main weakness | Approx. cost per test | | ---- | -------------- | ------------------------------------------------ | ------------------------------------------------------------ | --------------------- | | 1 | Seedance 2.5 | Faces, micro-expressions and product interaction | Expensive; hair can still move like one solid piece | $1.80 | | 2 | Kling O3 Pro | Walking, prompt obedience and value | Slight CGI layer on skin | $0.56 | | 3 | Google Veo 3.1 | Cinematic framing and some good hair movement | Artificial facial texture and a visible edge around movement | $1.20 | | 4 | Wan 2.7 Pro | Can produce interesting experimental motion | Face drift, harsh skin and weaker object consistency | From $0.60 | Those are the displayed WaveSpeed prices or estimates I saw on August 12, 2026, before any account discount. Wan was listed from $0.60 per run, but I did not record its exact charged amount. These are not universal prices for the models and can change. ## How I Tested the Four Models I ran all 12 videos through WaveSpeed so the workflow and billing came from one place. This review covers image-to-video only. It says nothing about text-to-video, video editing, reference-to-video, long scenes or what any of these models might do after five paid retries. The rules were straightforward: - Three original 4K source images generated with Nano Banana Pro. - The exact same source file went into every video model. - One first generation per image and model. - No rescue attempts, rerolls or secret replacement clips. - 16:9 output throughout. - Prompt enhancer off. - No last frame or extra character references. - I judged each result on motion, identity, hands, objects, image quality and whether I would use it. I did not force word-for-word identical prompts onto four different models. That sounds scientific until one model responds better to a continuous description, another understands labelled instructions more clearly and a third works best when you stop trying to write a film-school dissertation. Every model received the same action and camera direction. I changed the delivery: Seedance got a chronological description, Kling got separate subject, camera and preservation blocks, Veo got conventional shot direction and Wan got a shorter command. The prompts are all included below, so you can decide whether that was fair. | Model endpoint on WaveSpeed | Duration | Output used | Audio | | ----------------------------------------- | -------- | ----------- | ----- | | bytedance/seedance-2.5/image-to-video | 5 sec | 720p | On | | kwaivgi/kling-video-o3-pro/image-to-video | 5 sec | 1080p | Off | | google/veo3.1/image-to-video | 6 sec | 1080p | Off | | alibaba/wan-2.7/image-to-video-pro | 5 sec | 1080p | On | Veo supports four, six or eight seconds, so I used six. Four seconds felt too rushed for the perfume action, while eight would have given it three more seconds than the other models. I selected 1080p for Veo because WaveSpeed showed the same price for 720p and 1080p without sound. Wan's Pro endpoint also started at 1080p. I kept Seedance at 720p because pushing each five-second attempt to 1080p would have raised the price from $1.80 to $4.50. That means this is a useful paid comparison, not a laboratory benchmark. Different random generations can change the order, and three clips cannot describe everything a model can do. They can show what I received when I spent my money once. Google itself makes the same basic point about image-to-video: the source becomes the basis for the character, lighting and visual style, so a sharp starting image matters. That matched this test completely. [Google's image-to-video guidance](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/video/best-practice?ref=theseguysknow.io) The 12 video generations came to at least $12.48 using Wan's displayed starting price. Because I did not record Wan's exact charge, I am not going to invent a more precise total: | Model | Three tests | | -------------- | ----------- | | Seedance 2.5 | $5.40 | | Kling O3 Pro | $1.68 | | Google Veo 3.1 | $3.60 | | Wan 2.7 Pro | From $1.80 | I excluded source-image spending from that total. Nano Banana Pro started at $0.14 per image on WaveSpeed when I tested it, but choosing source images can involve rerolls and that cost belongs to a different test. [Nano Banana Pro pricing on WaveSpeed](https://wavespeed.ai/models/google/nano-banana-pro/text-to-image?ref=theseguysknow.io) ## Test 1: A Close Portrait Exposed the Skin and Eyes The first source was intentionally simple. A beautiful Mediterranean woman looks directly at the camera on a rooftop at golden hour. The animation only asked for a blink, a small smile, a slight head turn, moving hair and a slow push-in. A simple close-up is still useful because there is nowhere for the model to hide. If the pupil slides, the skin gains a strange digital pattern or the hair moves like a detachable wig, you are looking straight at it. ![Close portrait of a beautiful 25-year-old Mediterranean woman standing on a bright rooftop terrace at golden hour.](https://storage.ghost.io/c/21/2f/212fa2d6-dfa3-4908-9426-ec8fc852e19d/content/images/2026/08/TEST_SOURCE_1.jpg) **The untouched 4K Nano Banana Pro source used for all four portrait videos.* #### See the portrait source-image prompt and settings ****Model:** Nano Banana Pro ****Settings:** 16:9, 4K, highest clean quality available ****Prompt:** `Photorealistic cinematic close portrait of a beautiful 25-year-old Mediterranean woman standing on a bright rooftop terrace at golden hour. Long dark brown hair moving slightly in the breeze, warm olive skin, expressive brown eyes, natural makeup, small gold earrings and an elegant cream silk blouse. She looks directly into the camera with a relaxed, slightly playful expression. Soft sunlight across one side of her face, realistic skin texture, shallow depth of field, premium fashion editorial photography, natural proportions, clean uncluttered background. Horizontal 16:9 composition.` #### Seedance 2.5 Had the Best Eyes Seedance won this test. The blink looked natural, the face stayed recognisable and the eyes kept the small reflections and colour variations that make them feel alive. Skin remained close to the source without becoming waxy or aggressively sharpened. The hair was probably the best of the four too, although that is not the compliment it sounds like. Every current model still struggles with it. Separate strands lock together and move as one heavy piece, which gives the hair that familiar wig-like movement. I have already tested Seedance on much harder movement and a 30-second tennis scene in my [full Seedance 2.5 review](https://theseguysknow.io/seedance-2-5-review/). This portrait was an easier job, and it handled it almost exactly as I hoped. 0:00 /0:05 1× **Seedance kept the eye detail, skin and identity closest to the source.* #### See the Seedance portrait prompt and settings ****Settings:** 5 sec, 720p, 16:9, audio on, no last image, prompt enhancer off ****Prompt:** `5-second continuous fashion portrait shot. The woman holds relaxed eye contact with the camera. She blinks naturally once, then her expression gradually develops into a subtle warm smile as she turns her face only a few degrees toward the sunlight. A gentle rooftop breeze moves a few loose strands of hair across her shoulder. The camera performs a very slow, smooth push-in. Preserve her exact facial features, age, hairstyle, clothing, jewellery, body position, rooftop setting and golden-hour lighting throughout. Restrained realistic motion with no scene change or cut.` #### Kling O3 Pro Was Close, Especially for $0.56 Kling also gave me a good blink, sensible eye movement and a decent push-in. The wind was less aggressive, which helped the hair stay under control. The difference appeared when I watched Kling immediately after Seedance. The eyes had less depth, and the skin looked as though the model had placed a thin CGI layer over the original face to keep it under control. I cannot tell you that this is technically what Kling does. That is simply how the finished video looked to me. It was still a very good result. At $0.56, Kling did not look like the cheap version of the test. 0:00 /0:05 1× **Kling stayed natural, but the skin and eyes lost some of the detail Seedance preserved.* #### See the Kling portrait prompt and settings ****Settings:** 5 sec, 1080p, 16:9, audio off, one starting image, prompt enhancer off ****Prompt:** SUBJECT ACTION: The woman maintains direct eye contact, blinks naturally once and slowly forms a subtle warm smile. She turns her face slightly toward the sunlight. Only a few loose strands of hair move in the gentle breeze. CAMERA: Very slow cinematic dolly-in. One continuous shot. `PRESERVATION: Keep the woman’s face, age, hair, cream blouse, earrings, pose, rooftop background and golden-hour lighting consistent with the starting image. Natural restrained facial motion.` #### Veo 3.1 Looked Cinematic but Added Artificial Texture Veo surprised me with the hair. It moved more naturally than I expected, and the head turn gave the shot a slightly more cinematic feeling than Kling. Then I looked closely at the forehead. Fine artificial lines appeared across the skin. They were not convincing pores and did not read as normal wrinkles. It looked more like sharpening noise or a texture the video model had invented while rebuilding the moving face. The clip was still good. In the portrait test, Veo and Kling were much closer than the final ranking makes them sound. 0:00 /0:06 1× **Veo handled the hair well, but close inspection revealed an artificial texture across the face.* #### See the Veo portrait prompt and settings ****Settings:** 6 sec, 1080p, 16:9, audio off, default seed, prompt enhancer off ****Prompt:** `A continuous cinematic close-up at golden hour. The woman maintains eye contact with the lens and blinks naturally. Over the next few seconds, she gives a small, genuine smile and turns her face slightly toward the warm sunlight. A light breeze gently moves several strands of her hair. The camera slowly dollies forward while the rooftop background remains softly out of focus. Her appearance and the original composition remain consistent. Natural facial performance, understated fashion-film realism, no dialogue and no cuts.` #### Wan 2.7 Pro Could Not Join the Same Fight Wan was obviously weaker. Red marks appeared across the skin, the highlights became too strong and the whole face looked more cartoonish than the source. The hair was passable, but the skin and eyes made the AI origin difficult to ignore. Two years ago, this would have looked impressive. Against the other three models in August 2026, I would not use it for a beauty advert or a close human portrait. Wan is popular for a reason, and I still see it used in experimental ComfyUI workflows, including some completely unhinged character videos on Twitter. That is a different job. In this clean commercial portrait test, it finished last. 0:00 /0:05 1× **Wan introduced harsh facial texture and red marks that were not present in the source.* #### See the Wan portrait prompt and settings ****Settings:** 5 sec, 1080p, 16:9, audio on, default seed, prompt enhancer off ****Prompt:** `The woman looks directly into the camera. She blinks once naturally, gives a small warm smile, and turns her head slightly toward the sunlight. A gentle breeze moves a few strands of her hair. Slow camera push-in. One continuous realistic fashion portrait shot. Keep her facial appearance, hair, cream blouse, jewellery, pose, lighting and rooftop background consistent.` ## Test 2: Walking by the Pool Tested the Whole Body The second source gave the models a full body, open shoes, moving legs, a loose dress, sunglasses and a woven bag. Nano Banana Pro added the accessories even though the original source prompt did not request them, but they made the video test more useful. Now each model had two extra objects to keep intact while she walked. The face is small in this source and the eyes are not perfect before anything moves. That matters. A video model cannot recover facial detail that the image generator never created. The same untouched source still went into all four models, so the relative comparison remains useful. The poolside woman became Diana about ten seconds into my notes, so Diana she stayed. ![Blonde woman walking beside a luxury hotel swimming pool in bright Mediterranean daylight.](https://storage.ghost.io/c/21/2f/212fa2d6-dfa3-4908-9426-ec8fc852e19d/content/images/2026/08/TEST_SOURCE_2.jpg) **The 4K poolside source. The small face and added accessories made this a harder consistency test.* #### See the walking source-image prompt and settings ****Model:** Nano Banana Pro ****Settings:** 16:9, 4K, highest clean quality available ****Prompt:** `Photorealistic full-body fashion photograph of a beautiful 25-year-old blonde woman walking beside a luxury hotel swimming pool in bright Mediterranean daylight. She wears a fitted pale-blue summer dress and simple cream heels. Athletic hourglass figure, natural body proportions, loose shoulder-length hair and a relaxed confident expression. Captured mid-step from a slight front-side angle, with both hands clearly visible. Clean modern architecture, blue water and soft palm shadows in the background. Premium candid fashion campaign, realistic anatomy, horizontal 16:9 composition.` #### Seedance 2.5 Kept the Body, Clothes and Blink Together Seedance gave Diana a natural stride, stable shoes and convincing movement through the dress. She blinked near the end instead of staring through the camera for the full five seconds, and the small expression change helped the person feel alive. It also generated audio. The sound was included in the $1.80 result, but it was wrong. Diana was walking beside a swimming pool while the ambience sounded closer to the sea. A pool does not usually arrive with its own coastline. I did not include audio in the ranking because the models were not run with matching sound settings. Still, if a model creates audio, it is fair to mention when that audio gives the scene away. 0:00 /0:05 1× **Seedance gave the most cohesive combination of gait, clothing, shoes and facial movement.* #### See the Seedance walking prompt and settings ****Settings:** 5 sec, 720p, 16:9, audio on, no last image, prompt enhancer off ****Prompt:** `5-second continuous tracking shot beside the pool. The woman naturally continues the walking stride already shown in the starting image, taking three relaxed steps forward. She keeps a soft confident smile and briefly glances toward the camera. Her handbag and the sunglasses in her hand swing subtly with her walking rhythm. Her pale-blue dress and hair respond gently to the breeze. The camera tracks smoothly beside her at the same slight front-side angle. Preserve her face, body proportions, dress, heels, handbag, sunglasses and the entire poolside setting. Realistic foot placement and fabric physics, with no cut or scene change.` #### Kling O3 Pro Nearly Won the Walking Test Kling's walking looked genuinely good. The open shoes remained attached to the feet, her weight shifted properly and the background bokeh made the result feel like a real fashion clip rather than a moving still. The main oddity was the stare. She held eye contact for almost five seconds without blinking. Maybe she was flirting with us. Fine. It was still slightly uncanny once I noticed it. For motion and value, this was one of Kling's best results. I would happily use it after trimming the end or hiding the long stare inside a normal edit. 0:00 /0:05 1× **Kling handled the gait and open shoes extremely well, although Diana forgot to blink.* #### See the Kling walking prompt and settings ****Settings:** 5 sec, 1080p, 16:9, audio off, one starting image, prompt enhancer off ****Prompt:** SUBJECT ACTION: Continue the woman’s existing walking motion. She takes three natural relaxed steps beside the pool and briefly glances toward the camera while keeping a soft smile. Her handbag and sunglasses swing slightly with each step. Her dress and hair move gently in the breeze. CAMERA: Smooth lateral tracking shot, maintaining the same front-side viewing angle and full-body framing. One continuous take. `PRESERVATION: Keep her face, body proportions, pale-blue dress, cream heels, handbag, sunglasses and poolside environment consistent with the starting image. Realistic walking mechanics and grounded feet.` #### Veo 3.1 Looked Like It Had Cut Her Out of the Scene Veo handled the broad action. The bag survived, the walk made sense and most of the glasses stayed intact until they started changing near the end. What bothered me was the edge around her moving body. It looked as if the model had cut Diana out, tracked that shape and then moved it through the background. I do not know whether Veo works anything like that internally, and I am not presenting it as a technical explanation. That is simply what the visible contour made the finished video look like. The hair also started behaving strangely, and the glasses lost their shape late in the clip. This was where Veo clearly dropped behind Kling. 0:00 /0:06 1× **Veo completed the walk, but the moving body gained a visible cutout-like edge and the glasses weakened near the end.* #### See the Veo walking prompt and settings ****Settings:** 6 sec, 1080p, 16:9, audio off, default seed, prompt enhancer off ****Prompt:** `A continuous full-body fashion tracking shot beside a Mediterranean hotel pool. Beginning from her existing mid-step position, the woman walks forward naturally for three relaxed steps. She keeps a soft smile and briefly looks toward the camera. The handbag and sunglasses already in her hands move subtly with her stride, while her dress and hair react gently to the breeze. The camera tracks alongside her at the same slight front-side angle, maintaining stable full-body framing. Realistic gait, grounded footfalls, natural fabric movement and a consistent poolside background. No dialogue and no cuts.` #### Wan 2.7 Pro Sent Diana on an Acid Trip Wan completed the basic movement, but the face, nose and eyes drifted as she walked. The shoes and body were less consistent too. It reminded me of an older generation of AI video where everything looks acceptable for half a second and then begins softly changing into something else. This is why a clean source matters, but I cannot blame the source for the ranking. Seedance, Kling and Veo received the same small face and kept it together more convincingly. 0:00 /0:05 1× **Wan understood “walk forward,” but struggled to preserve the same person through the movement.* #### See the Wan walking prompt and settings ****Settings:** 5 sec, 1080p, 16:9, audio on, default seed, prompt enhancer off ****Prompt:** `The woman continues walking naturally from the pose in the starting image, taking three relaxed forward steps beside the pool. She briefly looks toward the camera with a soft smile. Her handbag and sunglasses swing gently with her movement. Her dress and hair move slightly in the breeze. Smooth side-tracking camera at the same front-side angle. Keep her face, body, clothing, accessories and poolside background consistent. Realistic walking and foot contact with the ground.` ## Test 3: The Perfume Advert Separated the Best Two The final source looked closest to a real commercial frame. One hand hovered above a clear perfume bottle while the other rested on the table. I asked each model to pick up the bottle, raise it to chest level, follow it with her eyes and give a small satisfied smile. This gave the models several opportunities to embarrass themselves. Fingers had to close around glass. The bottle needed to remain rigid and transparent. Reflections and liquid had to move with it. Her gaze needed to follow the object without the face falling apart. ![East Asian woman seated at a minimalist cream dressing table](https://storage.ghost.io/c/21/2f/212fa2d6-dfa3-4908-9426-ec8fc852e19d/content/images/2026/08/TEST_SOURCE_3.jpg) **The untouched 4K perfume source used for all four product-interaction videos.* #### See the perfume source-image prompt and settings ****Model:** Nano Banana Pro ****Settings:** 16:9, 4K, highest clean quality available ****Prompt:** `Photorealistic luxury beauty advertisement featuring a beautiful 27-year-old East Asian woman seated at a minimalist cream dressing table. She wears an elegant black sleeveless evening dress and refined gold earrings. One hand rests beside a rectangular clear-glass perfume bottle with a gold cap, while the other rests naturally on the table. Both hands and all fingers are clearly visible. She looks toward the perfume with a calm, sophisticated expression. Soft warm studio lighting, realistic skin texture, clean cream background, premium cosmetics campaign, horizontal 16:9 composition.` #### Seedance 2.5 Made the Best Advert This was Seedance at its best. Her fingers closed around the bottle naturally, the perfume remained convincing and the eyes followed the movement. Then came a tiny smile that felt like a human reaction rather than an expression slider being moved from neutral to happy. Light travelled through the glass and onto her hand. The liquid remained believable. The bottle did not melt, duplicate or decide it wanted a new shape halfway up. Just keep feeding Seedance money and, apparently, it keeps doing things like this. 0:00 /0:05 1× **Seedance combined stable hands, believable glass and the best micro-expression of the test.* #### See the Seedance perfume prompt and settings ****Settings:** 5 sec, 720p, 16:9, audio on, no last image, prompt enhancer off ****Prompt:** `5-second continuous luxury beauty-commercial shot. The woman lowers her raised hand toward the perfume bottle, closes her fingers naturally around the bottle and lifts it smoothly from the dressing table to approximately chest level. She looks at the bottle and gives a restrained, satisfied smile. The rectangular clear-glass bottle and gold cap remain rigid, transparent and unchanged throughout the action. Her other hand remains relaxed on the table. The camera makes a very slow controlled move from left to right. Preserve her face, black dress, jewellery, hands, bottle design, table and cream studio environment. Elegant realistic movement, no cut or scene change.` #### Kling O3 Pro Was Ridiculously Good for the Price Kling followed the instruction closely. She picked up the bottle, watched it, kept the other hand in place and completed the action without losing fingers or turning the perfume into soup. The small details impressed me most. The eyes moved toward the product, shadows changed properly and light passing through the bottle created a believable reflection on her hand. The reaction was a little stiff, but part of that may be my fault. I wrote a highly controlled AI prompt and received a highly controlled AI perfume model. This result is the strongest argument for Kling. It was behind Seedance, but nowhere near three times worse. 0:00 /0:05 1× **Kling obeyed the action, preserved the bottle and handled the hand contact far better than its price suggests.* #### See the Kling perfume prompt and settings ****Settings:** 5 sec, 1080p, 16:9, audio off, one starting image, prompt enhancer off ****Prompt:** SUBJECT ACTION: The woman lowers her raised hand, wraps her fingers naturally around the rectangular perfume bottle and lifts it smoothly from the table to chest level. She follows the bottle with her eyes and gives a small satisfied smile. Her other hand remains resting on the table. OBJECT BEHAVIOUR: The clear-glass perfume bottle and gold cap remain rigid, transparent and identical in size and shape. The bottle does not bend, melt or change design. CAMERA: Very slow lateral camera move from left to right. One continuous luxury beauty-commercial shot. `PRESERVATION: Keep her face, black dress, jewellery, hands, dressing table and cream studio background consistent with the starting image.` #### Veo 3.1 Understood That It Was an Advert Veo made a decent commercial. She lifted the bottle gently, looked at it, then turned and presented it toward the camera with a bigger smile. It was almost as if she understood the purpose of the shot and decided to direct the ending herself. That made the clip attractive, but it also made it less faithful to the instruction. I asked for the bottle at chest level and a restrained reaction. Veo raised it higher and turned the moment into a product presentation. The eyes and teeth held together. The weaker part was the same artificial edge and glow I saw in the walking test, especially around the subject and skin. This generation was already 1080p, so lower resolution cannot explain it away. 0:00 /0:06 1× **Veo produced a convincing ad concept, although it directed a more presentational ending than I requested.* #### See the Veo perfume prompt and settings ****Settings:** 6 sec, 1080p, 16:9, audio off, default seed, prompt enhancer off ****Prompt:** `A continuous luxury beauty-commercial shot in a warm cream studio. The woman lowers her raised hand toward the rectangular perfume bottle, closes her fingers naturally around it and lifts it from the dressing table to chest level. Her eyes follow the bottle and she gives a subtle, satisfied smile. Her other hand remains resting naturally on the table. The clear-glass bottle and gold cap retain exactly the same rigid shape, scale and transparent material throughout the movement. The camera makes a slow, precise lateral move from left to right. Refined restrained performance, realistic hand-object contact, no dialogue and no cuts.` #### Wan 2.7 Pro Looked Like She Wanted to Eat the Bottle Wan also picked up the perfume and generated sound, but the quality fell as soon as the action developed. The eyes weakened, the bottle changed scale and the liquid became an unclear glowing movement inside the glass. Her second hand joined the bottle even though I had asked it to remain on the table. The opening was not terrible. Then the hair began moving as a few stiff, drawn shapes instead of natural strands, the finger folds became strange and the whole interaction began to feel like she was considering whether the perfume might be lunch. Wan was cheaper than Seedance and Veo, but even its displayed starting price was slightly above Kling's $0.56 test. That makes fourth place difficult to defend as a value choice too. 0:00 /0:05 1× **Wan completed the idea, but the second hand joined in and the bottle lost its original material and scale.* #### See the Wan perfume prompt and settings ****Settings:** 5 sec, 1080p, 16:9, audio on, default seed, prompt enhancer off ****Prompt:** `The woman lowers her raised hand toward the perfume bottle, grips it naturally and lifts it smoothly from the table to chest level. She looks at the bottle and gives a subtle smile. Her other hand stays resting on the table. The rectangular transparent glass bottle and gold cap remain rigid and unchanged. Slow controlled camera movement from left to right. Keep her face, hands, black dress, jewellery, table, bottle and cream studio background consistent. Realistic hand and object interaction.` ## Seedance Made the Best Videos, but Kling Is the Smarter Buy The final order was clear to me: Seedance 2.5 first, Kling O3 Pro second, Veo 3.1 third and Wan 2.7 Pro fourth. Seedance is the quality winner. It made the portrait eyes look alive, gave Diana the most complete walking performance and produced the best perfume interaction. ByteDance only released Seedance 2.5 on July 31, 2026, and it already feels like a meaningful step ahead in short human-centred clips. [ByteDance's Seedance 2.5 announcement](https://seed.bytedance.com/en/blog/one-take-creation-flexible-referencing-introducing-seedance-2-5?ref=theseguysknow.io) If I were spending my own money on ordinary social clips or trying several ideas, I would probably open Kling first. Three Kling generations cost around $1.68\. Three Seedance generations cost $5.40\. Kling lost each direct comparison, but it produced three usable videos and came very close in the perfume test. Veo remains interesting. It sometimes made choices that felt more like direction than literal prompt following. The artificial skin texture and the edge around the moving body stopped me recommending it above Kling here, especially because these tests were already rendered at 1080p. Google officially supports four-, six- and eight-second Veo 3.1 outputs at both 720p and 1080p. [Google's Veo 3.1 specifications](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/veo/3-1-generate?ref=theseguysknow.io) Wan is harder to recommend for this job. Alibaba's current Wan 2.7 model can handle first-frame generation, first-and-last-frame video and continuation, so this small test does not cover its full range. For faces, walking and a clean beauty advert, though, it was visibly behind and did not even undercut Kling. [Alibaba's Wan 2.7 image-to-video documentation](https://www.alibabacloud.com/help/en/model-studio/image-to-video-general-api-reference?ref=theseguysknow.io) Seedance is still worth the money when I want the best first result I can reasonably buy, or when I have a strange idea and want to see how far the model will take it. There are so many things left to try that I am almost afraid to think what these videos will look like next year. For the work I need to produce every week, Kling is easier to justify. It got close enough that I would rather make three Kling attempts than one Seedance attempt in many situations. When the face, emotion or hero product shot matters most, I would pay extra for Seedance. --- #### External Sources - [Google DeepMind: Nano Banana Pro](https://deepmind.google/models/gemini-image/pro/?ref=theseguysknow.io) - [ByteDance Seed: Introducing Seedance 2.5](https://seed.bytedance.com/en/blog/one-take-creation-flexible-referencing-introducing-seedance-2-5?ref=theseguysknow.io) - [Kling AI: VIDEO 3.0 Omni model guide](https://app.klingai.com/global/quickstart/klingai-video-3-omni-model-user-guide?ref=theseguysknow.io) - [Google: Veo 3.1 specifications](https://docs.cloud.google.com/gemini-enterprise-agent-platform/models/veo/3-1-generate?ref=theseguysknow.io) - [Alibaba Cloud: Wan 2.7 image-to-video API](https://www.alibabacloud.com/help/en/model-studio/image-to-video-general-api-reference?ref=theseguysknow.io) - [WaveSpeed: Seedance 2.5 endpoint and pricing](https://wavespeed.ai/models/bytedance/seedance-2.5/image-to-video?ref=theseguysknow.io) - [WaveSpeed: Kling O3 Pro endpoint and pricing](https://wavespeed.ai/models/kwaivgi/kling-video-o3-pro/image-to-video?ref=theseguysknow.io) - [WaveSpeed: Veo 3.1 endpoint and pricing](https://wavespeed.ai/models/google/veo3.1/image-to-video?ref=theseguysknow.io) - [WaveSpeed: Wan 2.7 Pro endpoint and pricing](https://wavespeed.ai/models/alibaba/wan-2.7/image-to-video-pro?ref=theseguysknow.io)