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KuaishouVideo model

Kling 2.6 Pro

In image to video, Kling 2.6 Pro is in place 16 of 21, with text only in place 18. A 5 s clip costs about $0.70.

Image to videoRank 16 of 21

1,294Arena ratinghigher is better

Text to videoRank 18 of 23

1,216Arena ratinghigher is better

5 s clipRank 13 of 19

$0.70$0.14 per secondlower is better

Clip lengthn/a

n/alongest single cliphigher is better

PopularityRank 476 of 875

29out of 100same as last month

Summary

At $0.14 per second of video it is fairly expensive; a typical video model costs $0.12.

Kling 2.6 Pro was Kuaishou’s high-resolution Kling generation for API and web access. The proprietary model generated up to 1080p and included native audio in the clip.

Kuaishou explicitly names the 2.6 series as a foundation for Kling 3.0 Pro. Storyboard and reference-video controls belong to the later 3.0 generation. Kling 2.6 Pro remained at 1080p.

Kling 2.6 Pro benchmarks

Image to video arena

How people rate generated videos in blind comparisons, Elo points · higher is better

20 of 21 models

as of September 22, 2026 · Source: LMArena

Text to video arena

How people rate generated videos in blind comparisons, Elo points · higher is better

20 of 23 models

as of September 22, 2026 · Source: LMArena

Show all 21 individual results from 6 sources

Page 1 of 2

Published benchmarks

LMArena Text to Video

Elo ratings summarize pairwise comparisons within this leaderboard. They are not percentages. The scale does not express absolute quality or linear gaps between models.

FLUX.3 Video1,493 Elo
MiniMax H31,460 Elo
Muse Video1,456 Elo
Sora 2 Pro1,368 Elo
Veo 3.11,364 Elo
Veo 3.1 Fast1,362 Elo
Sora 21,343 Elo
Wan 2.71,337 Elo
Wan 2.61,327 Elo
PixVerse V5.61,240 Elo
Kling 2.6 Pro1,216 Elo
Hailuo 2.31,206 Elo
LTX-2 19B1,154 Elo
Wan 2.2 A14B1,132 Elo
Pika 2.21,009 Elo

higher is betterAs of November 5, 2026Scale: 0 Elo - 1,516 Elo

Source: LMArena
gradually.ai
Methodology and context
Metric
elo-rating
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
23
Sample
73,362
Source: LMArena

LMArena Image to Video

Elo ratings summarize pairwise comparisons within this leaderboard. They are not percentages. The scale does not express absolute quality or linear gaps between models.

MiniMax H31,495 Elo
FLUX.3 Video1,449 Elo
Wan 2.71,428 Elo
Veo 3.11,398 Elo
Veo 3.1 Fast1,385 Elo
Vidu Q3 Pro1,363 Elo
Kling 3.0 Pro1,354 Elo
Wan 2.61,310 Elo
PixVerse V5.61,299 Elo
Kling 2.6 Pro1,294 Elo
Hailuo 2.31,262 Elo
Wan 2.2 A14B1,170 Elo
LTX-2 19B1,159 Elo
Pika 2.2997 Elo

higher is betterAs of November 5, 2026Scale: 0 Elo - 1,495 Elo

Source: LMArena
gradually.ai
Methodology and context
Metric
elo-rating
Scale
No upper bound is documented. The chart spans the recorded values and zero.
Participants
21
Sample
202,113
Source: LMArena

Measurements without matching peer values

These measurements have no matching peer values under the same test conditions. Their original values and sources remain available here.

vidbenchmark blind video benchmark (Show measurement, test conditions, and source)
Source value
1090
Score
1090
Metric
Blind same-prompt human pairwise Elo
Unit
elo
Benchmark version
vidbenchmark dataset snapshot (2026-08-04)
Category
video-generation
Direction
Higher is better
Source type
independent-evaluator
Evaluator
vidbenchmark
Status
active
Retrieved at
2026-10-16
Methodology
Independent evaluation. Exact source model entry kling-2-6-pro (Kling 2.6 Pro). Methodology describes blind same-prompt human pairwise voting and a shared duration/resolution target; the exact global target and this row’s realized output setting are not stated. The dataset lists maxDurationSeconds=10, maxResolution=1080p, which are model limits, not the proven test settings. Data snapshot is 2026-08-04.
Context
The website claims weekly reruns, but the downloaded dataset says updatedAt=2026-08-04. No sample count, vote count, confidence interval, or test resolution is published in this JSON. Do not treat the model maximum as the tested resolution, or compare this unspecified task directly with T2V/I2V-specific boards. The methodology page discloses affiliate revenue.
Source vidbenchmark
vidbenchmark eight-axis model scores (Show measurement, test conditions, and source)
Source value
76
Score
76
Metric
Prompt adherence score (0-100 source score)
Unit
points
Benchmark version
vidbenchmark dataset snapshot (2026-08-04)
Category
video-generation-quality
Direction
Higher is better
Source type
independent-evaluator
Evaluator
vidbenchmark
Status
active
Retrieved at
2026-10-16
Methodology
Independent evaluation. Exact source model entry kling-2-6-pro (Kling 2.6 Pro). Methodology describes blind same-prompt human pairwise voting and a shared duration/resolution target; the exact global target and this row’s realized output setting are not stated. The dataset lists maxDurationSeconds=10, maxResolution=1080p, which are model limits, not the proven test settings. Data snapshot is 2026-08-04.
Context
The website claims weekly reruns, but the downloaded dataset says updatedAt=2026-08-04. No sample count, vote count, confidence interval, or test resolution is published in this JSON. Do not treat the model maximum as the tested resolution, or compare this unspecified task directly with T2V/I2V-specific boards. The methodology page discloses affiliate revenue.
Source vidbenchmark
vidbenchmark eight-axis model scores (Show measurement, test conditions, and source)
Source value
72
Score
72
Metric
Motion realism score (0-100 source score)
Unit
points
Benchmark version
vidbenchmark dataset snapshot (2026-08-04)
Category
video-generation-quality
Direction
Higher is better
Source type
independent-evaluator
Evaluator
vidbenchmark
Status
active
Retrieved at
2026-10-16
Methodology
Independent evaluation. Exact source model entry kling-2-6-pro (Kling 2.6 Pro). Methodology describes blind same-prompt human pairwise voting and a shared duration/resolution target; the exact global target and this row’s realized output setting are not stated. The dataset lists maxDurationSeconds=10, maxResolution=1080p, which are model limits, not the proven test settings. Data snapshot is 2026-08-04.
Context
The website claims weekly reruns, but the downloaded dataset says updatedAt=2026-08-04. No sample count, vote count, confidence interval, or test resolution is published in this JSON. Do not treat the model maximum as the tested resolution, or compare this unspecified task directly with T2V/I2V-specific boards. The methodology page discloses affiliate revenue.
Source vidbenchmark
vidbenchmark eight-axis model scores (Show measurement, test conditions, and source)
Source value
71
Score
71
Metric
Character consistency score (0-100 source score)
Unit
points
Benchmark version
vidbenchmark dataset snapshot (2026-08-04)
Category
video-generation-quality
Direction
Higher is better
Source type
independent-evaluator
Evaluator
vidbenchmark
Status
active
Retrieved at
2026-10-16
Methodology
Independent evaluation. Exact source model entry kling-2-6-pro (Kling 2.6 Pro). Methodology describes blind same-prompt human pairwise voting and a shared duration/resolution target; the exact global target and this row’s realized output setting are not stated. The dataset lists maxDurationSeconds=10, maxResolution=1080p, which are model limits, not the proven test settings. Data snapshot is 2026-08-04.
Context
The website claims weekly reruns, but the downloaded dataset says updatedAt=2026-08-04. No sample count, vote count, confidence interval, or test resolution is published in this JSON. Do not treat the model maximum as the tested resolution, or compare this unspecified task directly with T2V/I2V-specific boards. The methodology page discloses affiliate revenue.
Source vidbenchmark
vidbenchmark eight-axis model scores (Show measurement, test conditions, and source)
Source value
71
Score
71
Metric
Temporal coherence score (0-100 source score)
Unit
points
Benchmark version
vidbenchmark dataset snapshot (2026-08-04)
Category
video-generation-quality
Direction
Higher is better
Source type
independent-evaluator
Evaluator
vidbenchmark
Status
active
Retrieved at
2026-10-16
Methodology
Independent evaluation. Exact source model entry kling-2-6-pro (Kling 2.6 Pro). Methodology describes blind same-prompt human pairwise voting and a shared duration/resolution target; the exact global target and this row’s realized output setting are not stated. The dataset lists maxDurationSeconds=10, maxResolution=1080p, which are model limits, not the proven test settings. Data snapshot is 2026-08-04.
Context
The website claims weekly reruns, but the downloaded dataset says updatedAt=2026-08-04. No sample count, vote count, confidence interval, or test resolution is published in this JSON. Do not treat the model maximum as the tested resolution, or compare this unspecified task directly with T2V/I2V-specific boards. The methodology page discloses affiliate revenue.
Source vidbenchmark
vidbenchmark eight-axis model scores (Show measurement, test conditions, and source)
Source value
69
Score
69
Metric
Lip-sync accuracy score (0-100 source score)
Unit
points
Benchmark version
vidbenchmark dataset snapshot (2026-08-04)
Category
video-generation-quality
Direction
Higher is better
Source type
independent-evaluator
Evaluator
vidbenchmark
Status
active
Retrieved at
2026-10-16
Methodology
Independent evaluation. Exact source model entry kling-2-6-pro (Kling 2.6 Pro). Methodology describes blind same-prompt human pairwise voting and a shared duration/resolution target; the exact global target and this row’s realized output setting are not stated. The dataset lists maxDurationSeconds=10, maxResolution=1080p, which are model limits, not the proven test settings. Data snapshot is 2026-08-04.
Context
The website claims weekly reruns, but the downloaded dataset says updatedAt=2026-08-04. No sample count, vote count, confidence interval, or test resolution is published in this JSON. Do not treat the model maximum as the tested resolution, or compare this unspecified task directly with T2V/I2V-specific boards. The methodology page discloses affiliate revenue.
Source vidbenchmark
vidbenchmark eight-axis model scores (Show measurement, test conditions, and source)
Source value
66
Score
66
Metric
Native audio quality score (0-100 source score)
Unit
points
Benchmark version
vidbenchmark dataset snapshot (2026-08-04)
Category
video-generation-quality
Direction
Higher is better
Source type
independent-evaluator
Evaluator
vidbenchmark
Status
active
Retrieved at
2026-10-16
Methodology
Independent evaluation. Exact source model entry kling-2-6-pro (Kling 2.6 Pro). Methodology describes blind same-prompt human pairwise voting and a shared duration/resolution target; the exact global target and this row’s realized output setting are not stated. The dataset lists maxDurationSeconds=10, maxResolution=1080p, which are model limits, not the proven test settings. Data snapshot is 2026-08-04.
Context
The website claims weekly reruns, but the downloaded dataset says updatedAt=2026-08-04. No sample count, vote count, confidence interval, or test resolution is published in this JSON. Do not treat the model maximum as the tested resolution, or compare this unspecified task directly with T2V/I2V-specific boards. The methodology page discloses affiliate revenue.
Source vidbenchmark
RBench average score (Show measurement, test conditions, and source)
Source value
0.534
Score
0.534
Metric
Avg across nine robot/task indicators
Unit
ratio
Benchmark version
RBench Table 2
Category
image-to-video
Direction
Higher is better
Sample
650
Source type
independent-evaluator
Evaluator
RBench, Rethinking Video Generation Model for the Embodied World
Status
active
Retrieved at
2026-10-17
Methodology
Independent evaluation. Kling 2.6 Pro; image-to-video for embodied robotics; 1920 × 1080; 5 s; 24 fps.
Context
Robotics-oriented image-to-video evaluation, not general video quality; no audio score is reported.
Source RBench, Rethinking Video Generation Model for the Embodied World
RBench per-category score (Show measurement, test conditions, and source)
Source value
0.529
Score
0.529
Metric
RBench category score
Unit
No unit provided
Benchmark version
RBench Table 2, arXiv:2601.15282v1
Category
task-manipulation
Direction
No direction published
Sample
50
Source type
independent-evaluator
Evaluator
RBench original paper
Status
active
Retrieved at
2026-10-19
Methodology
Independent evaluation. RBench Table 2, exact “Kling 2.6 pro” row, Manipulation category. Closed-source models use official APIs following developer-recommended invocation. The paper generates three videos per image-text sample and averages them before scoring. The test set reports 50 examples for this category. The table does not state a unit or confidence interval for this displayed category score.
Source RBench original paper
RBench per-category score (Show measurement, test conditions, and source)
Source value
0.598
Score
0.598
Metric
RBench category score
Unit
No unit provided
Benchmark version
RBench Table 2, arXiv:2601.15282v1
Category
task-spatial
Direction
No direction published
Sample
50
Source type
independent-evaluator
Evaluator
RBench original paper
Status
active
Retrieved at
2026-10-19
Methodology
Independent evaluation. RBench Table 2, exact “Kling 2.6 pro” row, Spatial category. Closed-source models use official APIs following developer-recommended invocation. The paper generates three videos per image-text sample and averages them before scoring. The test set reports 50 examples for this category. The table does not state a unit or confidence interval for this displayed category score.
Source RBench original paper

Recorded measurement details

LMArena Text to Video: LMArena Text to Video (Show measurement, test conditions, and source)
Source value
1216
Score
1216
Metric
elo-rating
Unit
Elo
Task
lmarena-text-to-video
Task label
LMArena Text to Video
Direction
Higher is better
Source rank
29
Sample
73362
Lower confidence bound
1209
Upper confidence bound
1223
Retrieved at
2026-11-05
Source LMArena
LMArena Image to Video: LMArena Image to Video (Show measurement, test conditions, and source)
Source value
1294
Score
1294
Metric
elo-rating
Unit
Elo
Task
lmarena-image-to-video
Task label
LMArena Image to Video
Direction
Higher is better
Source rank
26
Sample
202113
Lower confidence bound
1286
Upper confidence bound
1302
Retrieved at
2026-11-05
Source LMArena

Page 1 of 2

What Kling 2.6 Pro can do

“n/a” means the provider does not state it or we have not sourced it yet. That is not a “no”.

Text to videoyesSource
Image to videoyesSource
Referencesn/a
AudioyesSource
Runs locallynoSource
Extendn/a
Start and end framen/a
Max. resolution1080pSource

Video sample from our test

This video exists as a documented run for the exact model version. Playback is muted.

Motion and physical consistency

This sample tests Anatomy, object consistency, camera tracking, rain, and reflections.

Prompt and settings

Generate exactly one continuous five-second 16:9 cinematic video. A fictional bicycle courier in a mustard-yellow raincoat rides a red city bicycle from left to right across a rain-wet Hamburg street at blue hour for the entire clip. The camera tracks her smoothly at waist height. Both hands remain visible on the handlebars, the bicycle geometry stays physically correct, and a transparent umbrella fixed to the bicycle moves naturally in the wind. Wet-street reflections and raindrops follow realistic physics. No cuts, no slow motion, no text, no logos, no subtitles, and no audio.

Generated through fal.ai with model fal-ai/kling-video/v2.6/pro/text-to-video. Archived settings were 16:9, one request, first output, requested 5 s, seed provider random, request {"prompt":"Generate exactly one continuous five-second 16:9 cinematic video. A fictional bicycle courier in a mustard-yellow raincoat rides a red city bicycle from left to right across a rain-wet Hamburg street at blue hour for the entire clip. The camera tracks her smoothly at waist height. Both hands remain visible on the handlebars, the bicycle geometry stays physically correct, and a transparent umbrella fixed to the bicycle moves naturally in the wind. Wet-street reflections and raindrops follow realistic physics. No cuts, no slow motion, no text, no logos, no subtitles, and no audio.","duration":"5","aspect_ratio":"16:9","generate_audio":false}, configured price estimate $0.35.

Popularity compared

How often the model is searched for, used and mentioned, compared with every model of its category.

Popularity index

0 to 100, higher is more popular

20 of 98 models

As of November 2026 · Source: gradually.ai popularity index

Over time

Weekly values from October 18, 2026 to November 5, 2026

Kling 2.6 ProGrok Imagine Video 1.5HunyuanVideo 1.5Dreamina Seedance 2.0 720pWan 2.7

Kling 2.6 Pro compared

Compare with another model

The most popular comparisons

  1. 1Gemini Omni Flash vs. Kling 2.6 Pro
  2. 2FLUX.3 Video vs. Kling 2.6 Pro
  3. 3Dreamina Seedance 2.5 720p vs. Kling 2.6 Pro
  4. 4Dreamina Seedance 2.0 720p vs. Kling 2.6 Pro
  5. 5MiniMax H3 vs. Kling 2.6 Pro
  6. 6Sora 2 Pro vs. Kling 2.6 Pro
  7. 7Sora 2 vs. Kling 2.6 Pro
  8. 8Veo 3.1 vs. Kling 2.6 Pro
  9. 9Veo 3.1 Fast vs. Kling 2.6 Pro
Show all 47 comparisons
  1. 10Grok Imagine Video 1.5 vs. Kling 2.6 Pro
  2. 11Grok Imagine Video vs. Kling 2.6 Pro
  3. 12Wan 2.7 vs. Kling 2.6 Pro
  4. 13Wan 2.6 vs. Kling 2.6 Pro
  5. 14Runway Gen-4.5 vs. Kling 2.6 Pro
  6. 15Kling 2.6 Pro vs. Vidu Q3 Pro
  7. 16Kling 2.6 Pro vs. PixVerse V5.6
  8. 17Kling 2.6 Pro vs. Hailuo 2.3
  9. 18Kling 2.6 Pro vs. LTX-2 19B
  10. 19Kling 2.6 Pro vs. Wan 2.2 A14B
  11. 20Kling 2.6 Pro vs. HunyuanVideo 1.5
  12. 21Kling 2.6 Pro vs. Pika 2.2
  13. 22Kling 2.6 Pro vs. Gemini Omni 1.1 Flash
  14. 23Kling 2.6 Pro vs. Muse Video
  15. 24Kling 2.6 Pro vs. Wan 3.0
  16. 25Kling 2.6 Pro vs. Wan 3.0 Prime
  17. 26Kling 2.6 Pro vs. HappyHorse 1.0
  18. 27Kling 2.6 Pro vs. HappyHorse 1.1
  19. 28Kling 2.6 Pro vs. PixVerse V6
  20. 29Kling 2.6 Pro vs. PixVerse C1
  21. 30Kling 2.6 Pro vs. Seedance 2.0 Fast
  22. 31Kling 2.6 Pro vs. Seedance 2.0 Mini
  23. 32Kling 2.6 Pro vs. Vidu Q3 Turbo
  24. 33Kling 2.6 Pro vs. Vidu Q2
  25. 34Kling 2.6 Pro vs. Vidu Q1
  26. 35Kling 2.6 Pro vs. Kling 4.0
  27. 36Kling 2.6 Pro vs. Kling 3.0 Standard API
  28. 37Kling 2.6 Pro vs. Kling Video O1
  29. 38Kling 2.6 Pro vs. Hailuo 2.3 Fast
  30. 39Kling 2.6 Pro vs. Wan 2.5 Preview
  31. 40Kling 2.6 Pro vs. Wan 2.6 I2V Flash
  32. 41Kling 2.6 Pro vs. Wan 2.2 TI2V 5B
  33. 42Kling 2.6 Pro vs. Wan 2.2 I2V A14B
  34. 43Kling 2.6 Pro vs. HunyuanVideo 1.0 T2V
  35. 44Kling 2.6 Pro vs. HunyuanVideo I2V 1.0
  36. 45Kling 2.6 Pro vs. Ray 3.2
  37. 46Kling 2.6 Pro vs. Grok Imagine Video 1.5 Lite
  38. 47Kling 2.6 Pro vs. LTX-2.5

All specifications

Input and output

Maximum resolution
1080p
Source: Maximum resolution
Native audio
Yes
Source: Native audio

Watermarking and provenance

AI watermarking refers to invisible signals embedded in the output. Visible marks and provenance metadata are listed separately. Unknown means there is insufficient evidence for that particular field.

AI watermarking
Unknown
no source
Watermarking technique
Not known
no source

Licence and access

Weights
Proprietary
Source: Weights
Access
API, Web
Source: Access

Prices

Choose a price view
Representative price
$0.14 per second ($0.70 per 5 s clip)Source
fal.ai (fal-ai/kling-video/v2.6/pro/text-to-video)
$0.35 per request (estimated)Source

No Kuaishou subscription includes this model. Through other providers from €6.83 a month (Poe Basic, with limited points). 12 plans in Germany.

Filter plans
PlanMonthly priceNote
Poe Basic€6.83with limited credit
Runway Standard≈ €15.90with limited credit
Recraft Pro≈ €21.20with limited credit
Recraft Teams≈ €23.33with limited credit, for teams, per seat
Poe Plus€27.36with limited credit
Runway Pro≈ €37.11with limited credit
Poe Pro€68.41with limited credit
Runway Team≈ €73.16with limited credit, for teams, per seat
Runway Max≈ €100.72with limited credit
Poe Advanced€136.84with limited credit
Poe Max€342.11with limited credit
Runway Enterprisen/afor enterprises

All plans in the AI subscription comparison

Frequently asked questions about Kling 2.6 Pro

How good is Kling 2.6 Pro?

Rank 18 of 23 in the text-to-video arena rating. With a start image: rank 16 of 21.

LMArena, as of Sep 22, 2026

Arena ratingtext to video, from user votes · higher is better
Wan 2.61,327
PixVerse V5.61,240
Runway Gen-4.51,225
Kling 2.6 ProRank 18 of 231,216
Hailuo 2.31,206
HunyuanVideo 1.51,169
LTX-2 19B1,154

How much does a video with Kling 2.6 Pro cost?

About $0.70 for a 5 s clip, $0.14 per second of video. That is fairly expensive.

Price per seconddollars per second of video · lower is better
Runway Gen-4.5$0.12
Vidu Q3 Pro$0.12
MiniMax H3$0.13
Kling 2.6 ProRank 13 of 19$0.14
Wan 2.7$0.15
Wan 2.6$0.15
Dreamina Seedance 2.0 720p$0.15

Where can I use Kling 2.6 Pro?

Not in a Kuaishou subscription. Including other providers that makes 12 plans in Germany.

Subscription comparison, prices in Germany incl. VAT

At Kuaishou

No Kuaishou subscription includes this model.

Through other providers

12 plans from 3 providers, from €6.83 a month (Poe Basic), with limited credits.

Sources and data date

Show all 19 sources

Benchmark sources at a glance

Which independent evaluators tested this model. This is coverage, not a quality ranking.

EvaluatorTest seriesComposite indicesRecorded active measurements
LMArena002

Without vendor claims and historical or disputed results; those stay labelled in the single values. 2 measurements are not yet assigned to a test series.

TypeEvidence and data date
Research statusResearch date October 16, 2026. 13 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Not found in the inspected sources

wiro-video-models-exact-row

Note

The inspected Wiro leaderboard has no exact model-version route. Nearby variants were not transferred.

Not found in the inspected sources

arena-video-edit-exact-row

Note

The inspected Video Edit table has no exact model-version row. T2V and I2V values were not reused.

Not found in the inspected sources

vabench-exact-model-row

Note

VABench has no exact model row. Sora 2 was not transferred to Sora 2 Pro or other models.

Not found in the inspected sources

artificial-analysis-t2v-exact-row

Note

No exact model version or resolution was found in the inspected Artificial Analysis table.

Not found in the inspected sources

artificial-analysis-i2v-exact-row

Note

No exact model version or resolution was found in the inspected Artificial Analysis table.

Unresolved

vbench-current-public-leaderboard

Note

The current VBench leaderboard is embedded in a dynamic Hugging Face iframe and was not retrievable; current scores remain unresolved.

Unresolved

vidbenchmark-performance-axes

Note

The source publishes speed-to-first-frame and cost-efficiency axes, but its inspected methodology does not define them as measured performance results or disclose units, direction, or a scoring formula. They are omitted. Model limits, maximum resolution, and list prices are not quality measurements.

Additional sourceKuaishou · Kling API model documentation · Editorial description reviewed October 2, 2026
Additional sourceVideo pricing
Additional sourcefal.ai
Additional sourceLMArena (retrieved November 5, 2026)12
Additional sourcevidbenchmark (retrieved October 16, 2026)
Additional sourceRBench, Rethinking Video Generation Model for the Embodied World (retrieved October 17, 2026; October 19, 2026)
Additional sourceArena Video Image-to-Video (retrieved September 21, 2026; October 16, 2026; October 28, 2026)
Additional sourceArena Video Text-to-Video (retrieved September 21, 2026; October 16, 2026; October 28, 2026)
Additional sourceModel metadata (retrieved October 16, 2026)123
Additional sourceKuaishou Kling 3.0 launch announcement · Editorial description reviewed October 2, 2026
Additional sourceOpenRouter: Popularity index (derived), CC BY 4.0
Additional sourceVercel AI Gateway: Popularity index (derived), CC BY 4.0
Additional sourceOllama: cumulative downloads for the popularity index
Additional sourceReplicate: cumulative runs for the popularity index
Additional sourceGoogle Trending Now: limited feed selection for Germany and the US
Additional sourceCreative Commons Attribution 4.0