Pika vs Luma vs Hailuo: How AI Video Prompts Actually Differ

Ask Pika, Luma, and Hailuo to turn the exact same prompt into a video and you get three clips that move differently, not just look different. Pika is tuned to catch effect keywords and labeled reference images before it reads the rest of the sentence as a scene description. Luma expects a named camera concept sitting next to a photorealistic description, closer to how a cinematographer would phrase a shot. Hailuo expects a camera instruction written in brackets directly inside the prompt, alongside a reference image if you want the same character to show up in the next clip. None of the three will throw an error if you skip its preferred structure, they will just fall back to a generic default, which is why a prompt that reads perfectly well on the page can still come back flat, stiff, or missing the one detail you actually cared about.

Why the same prompt produces three different clips

The real difference between these three tools is not visual style, it is what each one expects a prompt to be doing. Pika was built around short, highly specific triggers, an effect name, a labeled ingredient, a swap target, more than it was built around long descriptive prose, so a paragraph-length cinematic description tends to get flattened into something more generic than the same idea gets on Luma. Luma was built to reward a clean scene description paired with one explicitly named camera move from its own supported list, and it tends to ignore camera language that does not match a concept it recognizes. Hailuo was built around inline bracketed commands sitting next to natural description, and treats a prompt with no brackets at all as having no camera instruction, defaulting to a static or loosely drifting shot instead.

Pika: effect keywords and ingredient-based scenes

Pika’s most distinctive features are not really about scene description at all. Pikaffects apply a named stylized transformation, melt, inflate, explode, crush, to a subject in an uploaded image or clip, and the prompt for one of these is closer to a command than a description, since naming the effect matters far more than describing the scene around it. Pikaframes interpolates between a start and end image you supply, turning two stills into the motion between them. Ingredients lets you combine several labeled reference images, a character, a background, a specific object, into one generated scene, and the prompt needs to reference each ingredient by the label you gave it rather than re-describing it from scratch. For a standard text-to-video generation without any of these features, Pika behaves more like a straightforward descriptive tool, but the moment you reach for an effect or ingredient, the prompt structure changes from a scene description into something closer to an instruction set.

Luma: camera concepts and clean keyframe control

Luma’s Dream Machine, and its underlying Ray2 and Ray3 models, are built around photorealism and physical plausibility, and the prompts that do best tend to read like a clean, grounded scene description rather than a stylized one. Where Luma differs most from the other two is camera control: it supports a specific list of named camera concepts, orbit, crane up, zoom in, static, and so on, and naming one of these directly in the prompt is far more reliable than describing a camera move in your own words and hoping the model infers the right concept. Luma also supports start and end keyframes, letting you supply two images and have the model generate the motion between them, plus a native loop mode for a clip that plays seamlessly on repeat. A Luma prompt that pairs a specific, grounded scene description with one named camera concept tends to outperform a longer, more atmospheric paragraph that never names a concept the tool actually recognizes.

Hailuo: bracketed camera commands and character consistency

Hailuo, from MiniMax, stands out for two things: natural human motion and expression, and character consistency across clips through its subject reference feature, where you upload an image of a person and the model keeps their likeness consistent in the generated scene. Camera control works differently here than on Luma. Instead of a concept picked from a list, Hailuo reads bracketed commands written directly inside the sentence, [Pan left], [Zoom in], [Truck right], [Tracking shot], and treats them as instructions layered on top of the surrounding description rather than a separate field. A prompt with no bracketed command at all is not wrong, it just leaves the camera choice to the model’s default, which tends to be a static or gently drifting shot. For dialogue-free human motion, a dance, a gesture, a turn toward camera, Hailuo tends to read subtle physical description (a hesitant glance, a slow exhale) more faithfully than either of the other two.

Translating one idea across all three

Take a single concept: a chef in a restaurant kitchen plating a dessert, warm light, shallow depth of field. For Pika, written as a straightforward scene description with no effect or ingredient involved: "A chef in a white apron places a raspberry tart on a plate and dusts powdered sugar over it with a small sieve, warm kitchen lighting, shallow depth of field." For Luma, the same description paired with a named camera concept: "A chef in a white apron places a raspberry tart on a plate and dusts powdered sugar over it with a small sieve, warm kitchen lighting, shallow depth of field. Camera concept: slow zoom in." For Hailuo, the description with a bracketed instruction placed where the camera behavior should apply: "A chef in a white apron places a raspberry tart on a plate and dusts powdered sugar over it with a small sieve, warm kitchen lighting, shallow depth of field. [Zoom in] [Static shot]." The scene barely changes across the three. What changes is where and how the camera instruction gets attached, since each tool is listening for it in a different place.

Common mistakes

Writing a long, atmospheric paragraph for Pika and expecting an effect to trigger without naming it directly, since Pika reads effect names as commands, not as something it infers from mood. Describing a camera move in your own words for Luma, a slow, sweeping push toward the subject, rather than naming one of its supported concepts directly, which tends to get ignored in favor of a generic default. Leaving Hailuo’s bracketed commands out entirely and assuming the model will infer an interesting camera move from the description alone, when a prompt with no brackets simply gets a static or loosely drifting default. Uploading a reference image to Hailuo’s subject feature but never mentioning the character in the prompt text itself, which weakens how consistently the likeness carries through the generated clip.

None of these three tools is doing it wrong. Pika is built for stylized, effect-driven, or composited shots more than long-form cinematic realism. Luma is built for grounded physical realism with precise camera control. Hailuo is built for expressive human motion and character consistency across clips. Once a scene is described well for one of the three, adapting it for the other two is mostly a matter of moving the camera instruction to wherever that particular tool is actually listening for it.