Kling V3 Pro vs. Hailuo 2.3 Pro: What's The Difference?

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Hailuo 2.3 Pro is the simpler, cheaper option at $0.49/video flat rate, while Kling V3 Pro earns its premium with multi-shot video, native audio, and custom character elements at $0.112-$0.196/second.

last updated
6/12/2026
edited by
John Ozuysal
read time
16 minutes
Kling V3 Pro vs. Hailuo 2.3 Pro: What's The Difference?

This guide breaks down Kling vs. Hailuo, covering motion quality, pricing, duration limits, audio generation, camera control, and the specific workflows each model handles best, so you can pick the right one from their extensive AI model families.

TL;DR

Hailuo 2.3 Pro is the simpler, cheaper option for most developers shipping video features.

It costs $0.49 per generation (flat rate) on fal, includes a built-in prompt optimizer, and produces cinematic 1080p output with minimal configuration.

If you want good video fast and don't need granular control, it's the easier path to production.

Kling V3 Pro earns its premium when your workflow demands more than a single-shot clip.

It supports multi-shot video up to 15 seconds with per-shot prompts, native audio generation in Chinese and English, and custom character elements that maintain identity across scenes, all at $0.112/second (audio off) or $0.168/second (audio on) on fal.

That's more expensive per generation, but the feature set is in a different category.

Here's how they stack up:

Kling V3 ProHailuo 2.3 Pro
CreatorKuaishouMiniMax
Best forMulti-shot storytelling, character consistency, audio-synced videoFast cinematic generation, simple API integration, and budget-sensitive pipelines
Price (10s, audio off)$1.12$0.49 (flat)
Price (10s, audio on)$1.68N/A
Pricing modelPer-second ($0.112-$0.196/sec depending on audio settings)Flat per-video
Duration options3-15 seconds (1-second increments)Not configurable (model outputs 5-10 seconds)
Max output resolution1080p1080p (Pro), 768p (Standard)
Multi-shot supportPer-shot prompts with custom durationsNot available
Native audio generationChinese and English (generate_audio)Not available
Custom elements@Element1, @Element2 (image sets or video references)Not available
Subject referenceVia elements systemDedicated subject reference endpoint
Start and end imageKeyframe controlNot available
Camera controlNot available (available in V1 legacy endpoints)Not exposed on the 2.3 Pro endpoints (separate MiniMax Director models offer it)
Prompt optimizerNot availableBuilt-in
Negative promptSupportedNot available
CFG scale controlSupported (0-1, default 0.5)Not available
Aspect ratios16:9, 9:16, 1:1Not configurable on fal's Pro endpoints (output follows the input)
Lip-syncAudio-to-video and text-to-videoNot available
Motion controlReference video to character transferNot available
Input typesText-to-video, image-to-videoText-to-video, image-to-video
Commercial useEnabledEnabled

Side-by-Side: Video Comparison Tests

To see how these models compare visually, here are head-to-head generations using identical prompts on fal.

Test 1: Simple Motion (Single Subject)

Prompt: "A ceramic bowl on a potter's wheel, spinning slowly. Wet clay glistens under warm studio lighting. Gentle rotation, soft shadows shifting. Close-up, shallow depth of field."

Kling V3 Pro:

Generated using Kling V3 Pro on fal, an AI model from Kuaishou.

Hailuo 2.3 Pro:

Generated using Hailuo 2.3 Pro on fal, an AI model from MiniMax.

Test 2: Camera Movement

Prompt: "Slow aerial dolly forward over a misty mountain ridge at sunrise. Clouds drift between peaks. Golden light catches the edges of pine trees below. Cinematic, wide angle, smooth continuous movement."

Kling V3 Pro:

Generated using Kling V3 Pro on fal, an AI model from Kuaishou.

Hailuo 2.3 Pro:

Generated using Hailuo 2.3 Pro on fal, an AI model from MiniMax.

Test 3: Complex Scene with Multiple Subjects

Prompt: "A busy open-air fish market at dawn. Vendors arranging ice and crates, steam rising from a nearby food stall, seagulls circling overhead. Handheld camera feel, natural ambient light, documentary style."

Kling V3 Pro:

Generated using Kling V3 Pro on fal, an AI model from Kuaishou.

Hailuo 2.3 Pro:

Generated using Hailuo 2.3 Pro on fal, an AI model from MiniMax.

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Test 4: Dialogue Scene (Audio Generation)

Prompt: "A street vendor explains his craft to the camera while assembling a small wooden toy at his market stall. He speaks with enthusiasm, gesturing with his hands between careful movements. Warm afternoon light, shallow depth of field, ambient market sounds in the background."

Note: Kling V3 Pro generated with generate_audio: true. Hailuo 2.3 Pro does not support native audio generation, so its output is silent.

Kling V3 Pro:

Generated using Kling V3 Pro on fal, an AI model from Kuaishou.

Hailuo 2.3 Pro:

Generated using Hailuo 2.3 Pro on fal, an AI model from MiniMax.

Pricing: Kling V3 Pro vs. Hailuo 2.3 Pro

The pricing models are fundamentally different.

Kling V3 Pro charges per second of output, while Hailuo 2.3 Pro charges a flat rate per video.

That distinction changes the math depending on how long your videos are and whether you need audio.

Kling V3 Pro pricing on fal

Kling V3 Pro costs $0.112 per second with audio off on fal. $0.168 per second with audio on. $0.196 per second with voice control enabled.

Here's what that looks like:

A 6-second video without audio costs $0.672. A 6-second video with audio costs $1.008. A 10-second video with audio costs $1.68. A 15-second multi-shot video with audio costs $2.52.

For shorter clips, the per-second model works in Kling's favor. A 3-second video without audio costs just $0.336.

Kling V3 Pro also has a motion control endpoint at $0.168 per second, and lip-sync endpoints for audio-to-video and text-to-video generation.

Hailuo 2.3 Pro pricing on fal

Hailuo 2.3 Pro costs $0.49 per video generation on fal (flat rate, 1080p).

This applies to both text-to-video and image-to-video.

There's no duration parameter, so the model determines output length based on the prompt (between 5 and 10 seconds). Either way, every generation costs the same $0.49.

The broader Kling family on fal

Kling V3 Standard: $0.084/sec (audio off), $0.126/sec (audio on), $0.154/sec (voice control).

Kling V2.5 Turbo Pro: $0.07/sec. A solid mid-tier option for developers who don't need V3's multi-shot or audio features.

Kling V2.1 Pro: $0.098/sec. The previous generation had 5 or 10-second duration options.

Kling V3 Pro Motion Control: $0.168/sec. Transfers motion from a reference video to a character image.

The broader Hailuo family on fal

Hailuo 2.3 Fast Pro: $0.33/video (flat rate, 1080p). Faster generation at a lower cost, designed for speed-sensitive workflows.

Hailuo 2.3 Standard: $0.28/video for 6 seconds, $0.56/video for 10 seconds (768p). Budget option within the 2.3 generation.

Hailuo 02 Pro: $0.08/sec (1080p). Previous generation with per-second pricing.

Hailuo 02 Standard: $0.045/sec (768p), $0.017/sec (512p). Lowest-cost Hailuo option for high-volume pipelines.

What this looks like at scale

For a team generating 100 clips per month (comparing at 10 seconds, audio off): Kling V3 Pro costs $112 (100 x $1.12). Hailuo 2.3 Pro costs $49 (100 x $0.49).

At 1,000 clips per month, that's $1,120 vs. $490.

Add audio to Kling, and the gap widens further. At 10 seconds with audio, Kling V3 Pro runs $1.68 per clip, $1,680 for 1,000 clips.

The flip side: Hailuo's output can be as short as 5 seconds, depending on the prompt, but you still pay $0.49. Kling V3 Pro at 5 seconds without audio costs $0.56, which is close to Hailuo's flat rate.

At durations under 5 seconds (which only Kling supports), Kling becomes the cheaper option per clip.

Hailuo 2.3 Pro still costs $0.49 for its fixed-length output, so Kling can actually be cheaper per clip at short durations.

A practical approach: You can use Hailuo 2.3 Fast Pro ($0.33/video) for rapid iteration and bulk generation, then route your highest-value clips through Kling V3 Pro when you need multi-shot storytelling, character elements, or synchronized audio.

How is Hailuo 2.3 Pro Different from Kling V3 Pro?

Kling's multi-shot video

This is Kling V3's most distinctive feature.

You can split a single generation into multiple shots, each with its own prompt and duration (1-15 seconds per shot, up to 15 seconds total).

That means you can describe a scene transition within a single API call.

An establishing shot that pulls into a close-up, or a two-character dialogue where the camera cuts between perspectives.

Kling's custom elements

Kling V3 Pro lets you define persistent characters and objects using the elements system.

Upload a frontal image and optional reference images for a character, then reference them in your prompt as @Element1 or @Element2.

You can also pass a video as an element reference, which gives the model motion context for how a character should move.

This is particularly useful for maintaining identity consistency across multiple generations or within multi-shot sequences.

Kling's native audio

Kling V3 Pro generates audio alongside video when the generate_audio parameter is enabled.

It supports Chinese and English voice output natively and automatically translates other languages to English.

Audio is enabled with the generate_audio toggle, and fal prices an optional voice-control tier on top of it; assigning specific voice IDs to individual characters, though, isn't part of the V3 Pro text-to-video or image-to-video request schema.

This turns a video generation API into something closer to a scene production tool.

Hailuo's prompt optimizer

Hailuo 2.3 includes a built-in prompt optimizer that refines your input before generation. It's enabled by default and can be toggled off.

Kling V3 Pro doesn't have an equivalent feature. You write the prompt, and the model interprets it directly.

That gives you more predictability but also means prompt engineering matters more on the Kling side.

Aspect ratio control

Kling V3 Pro exposes an aspect_ratio parameter with three options: 16:9, 9:16, and 1:1, covering the essentials of landscape, portrait, and square.

Hailuo 2.3 Pro's text-to-video and image-to-video endpoints on fal don't expose an aspect_ratio parameter at all. The output follows the model (and, for image-to-video, the input image), so you can't request a specific framing such as ultrawide 21:9 from these endpoints.

If fixed output framing matters to your pipeline, Kling is the one that lets you set it directly.

Hailuo's subject reference

Hailuo offers a dedicated subject reference endpoint where you pass a reference image to maintain consistent character appearance across generations.

This serves a similar purpose to Kling's elements system but with a simpler interface: one image URL, one prompt.

Kling's elements system is more powerful (supporting multiple elements, video references, frontal plus reference image sets, and in-prompt referencing) but requires more input configuration.

How to Run Both Models on fal

You can run Kling V3 Pro and Hailuo 2.3 Pro through fal's API or test them in the playground at fal.

Same integration pattern. If you've already integrated one, switching to the other is a one-line endpoint change.

import { fal } from "@fal-ai/client";

// Kling V3 Pro --- text-to-video
const klingResult = await fal.subscribe(
  "fal-ai/kling-video/v3/pro/text-to-video",
  {
    input: {
      prompt:
        "A lantern floating on a still pond at dusk, warm light reflecting on the water",
      duration: "6",
      generate_audio: false,
    },
  }
);

// Hailuo 2.3 Pro --- same pattern, different endpoint
const hailuoResult = await fal.subscribe(
  "fal-ai/minimax/hailuo-2.3/pro/text-to-video",
  {
    input: {
      prompt:
        "A lantern floating on a still pond at dusk, warm light reflecting on the water",
    },
  }
);

The API structure on fal is identical across both models.

That means you can build a routing system where complex multi-shot requests go to Kling V3 Pro and quick single-shot work goes to Hailuo 2.3 Pro, with nothing but a string swap and a few extra input fields.

When to Use Which: A Decision Framework

Rather than declaring a winner, here's how I'd think about routing between the two.

Choose Hailuo 2.3 Pro when

You want the simplest possible API integration with minimal parameters.

You're generating at volume and need predictable flat-rate pricing ($0.49/video regardless of duration).

Your workflow benefits from a built-in prompt optimizer that reduces iteration cycles.

You want the fewest knobs to turn: the Pro endpoints take essentially just a prompt, so there's little to configure or get wrong.

Choose Kling V3 Pro when

You need multi-shot video with per-shot prompts and custom durations up to 15 seconds.

Your clips require synchronized audio generated alongside the video, with optional voice control.

Character consistency across scenes matters, and you want to define persistent elements with reference images or video.

You need start-and-end image keyframing for precise control over where a clip begins and ends.

You want fine-grained generation control through negative prompts, CFG scale, and per-second duration increments from 3 to 15 seconds.

Your project involves lip-sync, motion transfer, or video effects that Kling's extended endpoint ecosystem supports.

Use both

Use both when you want to route fast bulk generation through Hailuo 2.3 Pro at $0.49/video, then selectively send your highest-value production clips to Kling V3 Pro for multi-shot, audio, or character-consistent output.

Since both models share the same API structure on fal, this routing logic takes minutes to implement.

Recently Added

Run Kling V3 Pro and Hailuo 2.3 Pro on fal

The AI video generation space has more capable models now than at any point in the past two years.

And that's actually the challenge: picking the right one for each use case requires testing, which costs time and credits.

If you want access to both Kling V3 Pro and Hailuo 2.3 Pro through a single API with pay-per-use pricing and no GPU management, fal is the fastest way to get started.

Test either model in the playground or plug into the API in minutes.

Check out fal to get started.

about the author
John Ozuysal
Founder of House of Growth. 2x entrepreneur, 1x exit, mentor at 500, Plug and Play, and Techstars.

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