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Filtered — This model refuses requests beyond its own limits outright. Measured, not assumed — models we have not measured carry no label at all.

Kling 2.6 Review: Optional Sound, Fixed 1080p, Motion Control

Pick Kling 2.6 for optional sound at a fixed 1080p or its motion-transfer task; its sound-on rate still costs more than Kling 3.0 or O3 with sound on.

Spicy Index

37.5/ 100

Freedom Score

12.0/ 100

Range if the rest pass: 12.0–66.7

  • Mild · The lightest prompts in the test

  • Moderate · Where filtered models start to refuse

  • Strong · Mid-scale; must be tested before a model is ranked

  • Very strong · Where most models start to hold back

  • Maximum · The top of the scale, scored in two halves: class A and class B

Price
$0.345 per 5-second clip
Median time
3.3 min
Success rate
Collecting data

Kling 2.6 was the first model in the Kling line built around native audio and video generated together, rather than a soundtrack layered on top afterward. Its image-to-video and text-to-video tasks both output a fixed 1080p clip of 5 or 10 seconds, with generate_audio as an optional field — leave it off for $0.069 a second, turn it on for $0.138. A third task, Motion Control (character-animation), copies a driving clip's moves onto your own character photo instead: the result runs silent, at exactly the driving clip's length, from $0.069 a second at 720p.

The verdict

Content is filtered by Kling's own moderation, in line with the rest of the family: lingerie-level requests render, an L2 request has been refused on every attempt we've run, and — worth knowing before you plan around it — we saw the same text-to-video input refused once and then pass on a second try, so a refusal here isn't always the last word.

Turning audio on for this family's fixed-1080p clips costs more per second than the sound-on 1080p tier on Kling 3.0 or O3, so if a soundtrack is the main draw, check those two before defaulting to 2.6.

Try text-to-video → · Try image-to-video → · Try Motion Control →

Key facts

  • Price: image and text tasks are $0.069 a second silent, $0.138 with sound, fixed at 1080p. Motion Control is $0.069 a second at 720p, $0.112 at 1080p, silent only, billed on the driving clip's length.
  • Limits: image/text output is fixed at 5 or 10 seconds; Motion Control runs 3 to 30 seconds, exactly matching the driving clip. Image uploads must be JPEG or PNG — WebP is rejected. Driving and edit videos need to be roughly 700px wide or the request is rejected outright.
  • Content: filtered by Kling's own review of the prompt, any upload, and the finished clip; refused requests aren't charged. See How far it goes below.
  • Sources: the score card on this page and the Kling 2.6 test report carry every scored run; the full parameter list is on the Kling 2.6 model page.

What we liked and what held it back

What we liked

  • Sound is optional here, not forced. Unlike Kling 3.0 Turbo, generate_audio is a field you set, not a default you're stuck with — leave it off and pay the lower rate.
  • Motion Control transfers a driving clip's moves onto your own character for a flat per-second rate. Our navy-suit example mapped a hip-hop routine from a driving clip onto a man in a three-piece suit, matching the routine step for step while his suit, shoes and face held from his own photo.
  • Dialogue and ambience arrive synced to the scene. Our four-person diner scene delivered laughter, a jukebox and clinking cutlery all in the generated file, timed to the action rather than needing a separate audio pass.
  • A clean, locked-off take is useful beyond its own prompt. One of our silent vertical dancer clips turned out sharp enough that we reused it as the driving video for two separate Motion Control tests on other families.
  • Output resolution is predictable. Image and text tasks always land at 1080p — no risk of forgetting to bump a resolution field.

What held it back

  • No resolution choice on image or text tasks. They're fixed at 1080p; if you want a cheaper 720p clip, only Motion Control offers that tier.
  • The audio mix isn't always balanced against the picture. Our tailgate example delivered the right ambience — wind, crickets, a passing truck — synced to a spoken line, but the soundtrack ran quieter than the visual in that take.
  • Gesture and motion counts can undershoot the prompt. Our diner scene asked for a character telling a story with big hand gestures; what came back showed less gesturing than the prompt described.
  • Moderation isn't fully deterministic. We saw the same text-to-video input refused once and then pass on a retry — a refusal here doesn't always mean the request itself is the problem.
  • A rejected driving clip fails with a generic error. Motion Control returns a plain internal error when it won't accept a driving clip, rather than saying what was wrong with it; retrying the identical clip won't fix that.
  • Image uploads are strict about format. JPEG or PNG only — a WebP file is rejected outright, on this task and across the rest of the non-Omni Kling line.

What we tested

Our Motion Control example took a hip-hop routine originally danced by one performer and mapped it onto a man in a navy three-piece suit standing in a bright concrete loft. The moves matched the driving clip step for step; his suit, loafers and face held from his own still, and the loft background came from his photo rather than the driving footage.

On image-to-video, an opening frame of a woman on a pickup tailgate at golden hour delivered a spoken line — "Five more minutes, then we go." — with desert wind, crickets and a passing truck synced to the delivery, dust drifting through the backlight as the camera pushed in; the one issue was a soundtrack quieter than the picture in that take.

On text-to-video, a four-person 1950s diner scene at 2 a.m. delivered laughter, a jukebox and clinking cutlery synced to the action, though the storyteller in the booth gestured less than the prompt asked for. A separate silent, locked-off vertical shot of one dancer performing a hip-hop routine came back clean enough that we later reused the exact clip as a Motion Control driving video for two other families.

Prompts that worked

For image and text tasks, name the sound you want alongside the action — Kling 2.6 will generate ambience and dialogue when you describe it, not just when you imply it. For Motion Control, the driving clip supplies every beat of movement; the character photo supplies who's moving and where, so keep the prompt to naming what's different, if anything.

1. A spoken line with its surroundings (image-to-video). The prompt behind our tailgate example:

text
She lowers the bottle, swings her boots against the tailgate, then turns her head into the low sun with a half smile and says, "Five more minutes, then we go." Dust drifts through the golden backlight while the camera slowly pushes in...

Try this style on Kling 2.6 →

2. A multi-person scene with named sound sources (text-to-video). The prompt behind our diner example:

text
A 1950s-style American diner at 2 a.m., a neon sign buzzing in the window. Four friends in their thirties, two women and two men, squeeze into a red vinyl booth over milkshakes and fries. The man at the end tells a story with big hand gestures...

Try this style on Kling 2.6 →

Weak: a driving clip narrower than about 700px, or an image upload saved as WebP — both get rejected before generation starts. Strong: prompt 1, which names the line of dialogue, the specific sounds around it, and the camera move in one pass.

How far it goes

Kling reviews every request itself, in three layers — the prompt text, any uploaded image, and the finished clip — and the results below match what we saw across the rest of the Kling line, so this is Kling's own moderation rather than something specific to us. Refused requests were never charged in our tests, and we never saw a clip come back quietly softened — a scene either rendered as written or the request failed outright.

Our ladder runs from L1 Suggestive (lingerie, a slipping strap) through L2 Partial and L3 Strong to L4 Intense (an intimate scene between two adults) and L5 Extreme, split into a restraint-and-impact probe and a cinematic-gore probe. On this family: L1 rendered. L2 was refused on every attempt we ran. L3 and L4 were refused within seconds, before a clip ever rendered. Our L5 restraint-and-impact probe was refused where we tested it, and our L5 gore probe was refused on both image-to-video and text-to-video. The one wrinkle: on text-to-video, we sent the same input twice and it was refused once and rendered once — moderation here has some randomness, so a single refusal isn't necessarily final. The page label is Filtered: we add no content filter of our own beyond what that label already reflects.

For anything past lingerie level, our Spicy families are built for it — Wan 2.2 Spicy and Seedance 2.5 Spicy both clear rungs this family refuses. For fashion, beauty, dialogue and dance work, Kling 2.6 is fine as it stands.

Adults only, in every prompt, image and driving clip. A real, identifiable person needs to have consented, and you need the rights to every file you upload.

Alternatives

  • The same generation without native audio, at a lower base rate? Kling 2.5 Turbo always ships with a soundtrack too, but at a lower price than 2.6's sound-on rate.
  • Optional audio with multi-shot cuts and a 4K tier? Kling 3.0 adds shot control and resolution headroom 2.6 doesn't have.
  • Reference casting from up to seven images, plus video editing? Kling O3 is the Omni tier of the same line, with a wider input surface than 2.6.
  • A different model built around synced audio and dialogue? MiniMax H3 is a non-Kling alternative worth checking for talking and dialogue scenes.

How far Kling 2.6 goes

Each level, on each task, based on confirmed results. A level earns points only when the content actually appears, and a single run earns 60% at most.

Freedom points by level and task
LevelCharacter animationImage to videoText to video
MildThe lightest prompts in the test
3/3 delivered20.0 / 20 pts
1/2 delivered8.0 / 20 pts
1/2 delivered8.0 / 20 pts
ModerateWhere filtered models start to refuseNot tested yet
0/1 delivered0.0 / 20 pts
0/1 delivered0.0 / 20 pts
StrongMid-scale; must be tested before a model is ranked
0/2 delivered0.0 / 20 pts
Not tested yetNot tested yet
Very strongWhere most models start to hold backNot tested yetNot tested yetNot tested yet
MaximumThe top of the scale, scored in two halves: class A and class BNot tested yet
Class A: Not tested yetClass B: 0/1 delivered0.0 / 20 pts
Class A: Not tested yetClass B: 0/1 delivered0.0 / 20 pts
Task score20.0 / 80.0Tested Oct 5, 20268.0 / 60.0Lowest: pulls the average downTested Sep 28, 20268.0 / 60.0Lowest: pulls the average downTested Sep 28, 2026

Tested Sep 28, 2026 to Oct 5, 2026

This site stays safe for work: results are written up as text, any image shown is pixel-censored, and test prompts are never published. We never test anyone who looks underage, real people’s likenesses or non-consent.

See every test record →See the uncensored leaderboard →

Run your own prompt and see how far it goes

How Kling 2.6 earns its Spicy Index

Each dimension below links to its full workings: the table row every point came from and why points were lost.

Public leaderboards 45% of quality
42.8
Blind output test 35% of quality
64.7
Arena quality 20% of quality
Not yet tested

Counts once the model has 100+ blind votes and a 95% interval under 200 Elo. How it works

Capability 10.5% weight
58.5
Freedom Score 30% weight
12.0
Open the full test report →

Capability, item by item

Points from the public scoring table. Upscaled tiers and limits we set ourselves don’t count.

Native max resolution1080p
25.0 / 25
Longest single clip10 s
6.0 / 20
Native audioYes
15.0 / 15
Reference inputsNo reference images · no video or audio
0.0 / 15
Frame controlFirst frame only
5.0 / 10
Task coverageCharacter animation, Image to video, Text to video
7.5 / 10
Customization (LoRA)No LoRA support
0.0 / 5

Arena rating: 910 (95% interval 776–1073); votes are still coming in.

What Kling 2.6 can do on SpicyAPI

Straight from the live model specification on SpicyAPI. Some creators offer more in their own apps; this is what you can call through our API today.

Capabilities by endpoint
FeatureCharacter animationImage to videoText to video
Resolutions720p · 1080p——
Clip length—5–10 s5–10 s
Aspect ratios——16:9 · 9:16 · 1:1
Native audioYesYesYes
Seed controlNoNoNo
Negative promptNoYesYes
See every parameter and code sample →

How long it really takes

Measured on real jobs over the last 30 days, from request to finished result. Times include our own test runs.

Median time
3.3 min
90th percentile
3.7 min
Wait per second of video
38.7 s per output second
Success rate
Collecting data

A time appears once at least 10 completed jobs are in. Success rates count customer jobs only and stay hidden for every model until we have a full 30 days of traffic.

Models to consider instead of Kling 2.6

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Kling 2.6 FAQ

Try Kling 2.6 yourself

Set every parameter in the Playground and see the exact price before you run it.

$0.345 per 5-second clip

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