Best AI for generating video
For narrative-driven workloads, Seedance 2.5 leads today: it delivers up to 30 seconds of video in a single generation pass and accepts up to 50 reference files. Its resolution ceiling, however, is 720p, so where output must ship directly to a client, Kling VIDEO 3.0 and its native 4K capacity is the better call in the decision architecture.
- four components, all with an active rank
- figures taken directly from vendor documentation
- an Iran column with its extraction method documented
Last checked: This is a reference page. It is re-checked against the vendor sources and updated when a new version ships. Change log
Where each tool's score comes from
The ring below is the same set of weights printed in the table headers further down.
- Clip length per generation pass 30
- Resolution ceiling 25
- Reference-input capacity 20
- Scene control 15
- Access from Iran 10
We chose these weights, and that is the only judgment call in the table. Weight them differently and the order changes.
Today ranking, built from what each vendor has published
Every figure in this table is extracted from that vendor own technical documentation. An empty cell means the vendor has published no figure, not that the value is zero.
| Rank | Tool | Score | Clip length per generation pass 30 | Resolution ceiling 25 | Reference-input capacity 20 | Scene control 15 | Access from Iran 10 |
|---|---|---|---|---|---|---|---|
| 1 | Seedance 2.5 Current pick | 65.0 | 30 seconds Source: www.volcengine.com | 720 lines of vertical resolution Source: www.volcengine.com | 50 reference inputs Source: www.volcengine.com | 4/4 | not verified |
| 2 | Kling VIDEO 3.0 | 46.2 | 15 seconds Source: kling.ai | 2,160 lines of vertical resolution Source: kling.ai | 7 reference inputs Source: kling.ai | 3/4 | not checked / no working route |
| 3 | Veo 3.1 | 40.0 | 8 seconds Source: ai.google.dev | 2,160 lines of vertical resolution Source: ai.google.dev | 3 reference inputs Source: ai.google.dev | 2/4 | blocked / no working route |
| 4 | Runway Gen-4.5 | 2.7 | 10 seconds Source: docs.dev.runwayml.com | 720 lines of vertical resolution Source: docs.dev.runwayml.com | not verified | 1/4 | not checked / no working route |
An empty cell means we could not verify that number, not that the tool scored zero.
Behind each number
Every judged score in this table carries a written reason, and the Iran column says how it was checked. Those two are open here. The measurement trail behind each number, which row of which leaderboard and on how many votes, opens under the model it belongs to.
1 Seedance 2.5
Scene control 4/4 Capacity for up to fifty reference inputs across three data types, plus editing an existing video and extending it twice: scene control and post-generation editing in a single unit
2 Kling VIDEO 3.0
Scene control 3/4 Control capabilities include multi-shot storyboarding, character locking, and binding a voice to each character; post-generation editing is built only into the Omni configuration, which caps at 1080p, not the 4K path
Access from Iran not checked / no working route Kling publishes no supported-countries list, so no claim about network reachability is recorded, and no test has been run from inside Iran. What has been documented is the vendor own user policy: the user must warrant they are not subject to any sanctions or trade embargo. Subscription payment is possible exclusively via international card.
3 Veo 3.1
Scene control 2/4 Capacity for up to three reference images, first and last frame, and extending a previously generated video, but no separate camera control and no regional editing on the finished output
Access from Iran blocked / no working route Google supported-countries list was checked and read directly today: the entry after Indonesia jumps straight to Iraq, and Iran is not recorded on this list. This finding comes from reading a document, not from a network measurement; a direct test from inside Iran has not yet been run.
4 Runway Gen-4.5
Scene control 1/4 The API schema defines only a prompt text and one first-frame image as input; it carries no reference array, no audio parameter, and no capability to edit a finished video
Access from Iran not checked / no working route Runway publishes no country list, but its terms of use specify that its products and services are subject to United States export control law and may not be exported or re-exported without prior US government authorisation. This specification was drawn from the vendor own documentation rather than a network measurement.
How this ranking is calculated
Every criterion below has a weight and a source. Change a weight and the whole table recomputes. There is no hand-placed position anywhere in this hub.
| Criterion | Weight | Evidence |
|---|---|---|
| Clip length per generation pass | 30 | vendor stated specificationThe longest clip the component delivers in a single generation pass. Single-pass length is the parameter that removes the edit step, and with it the risk of a face shifting identity between shots |
| Resolution ceiling | 25 | vendor stated specificationThe ceiling in vertical resolution lines, taken directly from vendor technical documentation. 4K here means generating natively at that size, not upscaling after generation |
| Reference-input capacity | 20 | vendor stated specificationHow many reference files one generation pass accepts. For a fixed character or product this figure carries more operational weight than resolution |
| Scene control | 15 | defined scale, with a written reason per assignmentThe only ordinal criterion in this rubric: a range from raw prompting to full scene control plus post-generation editing. Every score assignment is documented with a reason |
| Access from Iran | 10 | our access column, with its method statedTwo components carry data in this column and two do not. An empty cell means no document has been read, and no estimate substitutes for it |
Why Seedance 2.5 leads, and why that lead is conditional
This component takes two columns of the rubric outright. Length: 30 seconds in a single generation pass, against fifteen seconds for Kling and eight for Veo. Reference capacity: 50 input files — 30 images, 10 videos, 10 audio clips — against seven and three for its competitors. For any workload that requires holding a character consistent across a narrative, these two figures outweigh every other parameter.
The same component loses the resolution column entirely. ByteDance own API technical documentation permits only two values, 480p and 720p, for Seedance 2.5, while listing four values up to 4k for Seedance 2.0. In that single parameter, the newer version has regressed against its own predecessor. The same regression shows up again in Runway API schema, which resells this model.
So which workload should select Kling
Any workload where the final output ships directly to a client. Kling VIDEO 3.0 is the only component in this rubric that delivers native 4K, and native is the parameter that matters: post-generation upscaling shifts facial position, and character consistency breaks down between shots. Its fifteen seconds are sufficient for an advertising shot. One constraint is documented by the vendor itself and carried here as well: its reference-driven mode (Omni) caps at 1080p, so native 4K and heavy reference input cannot be combined in a single generation pass.
The parameter none of the four components cover
Persian. Kling own technical guide lists five spoken languages: Chinese, English, Japanese, Korean and Spanish. Persian is not on that list, and none of the other three components registers Persian in its spoken-language list either. So for any workload requiring Persian output, regardless of which component is selected, voice production is a separate stage in the pipeline. If you have read somewhere that one of these speaks Persian, ask for the source.
Two parameters deliberately excluded from the rubric
First, generation time. The owner of this reference had requested that generation speed carry an independent weight, and that request is operationally sound, since in real workloads wait time converts directly into cost. But not one of these four vendors has published a generation-time figure. A figure that has not been published is not sourced from an unofficial source, so this column was never built; its place in the data model stays empty until a vendor publishes that figure.
Second, price. Runway API price list is the only source that prices several components in one currency and one unit: one credit equals one cent, Gen-4.5 costs twelve credits per second, Seedance 2.5 at 720p costs thirty credits per second, and Veo 3.1 with audio costs forty credits per second — twelve, thirty and forty cents per second of output, respectively. Kling is not on that list, and its pricing is credit-based and tied to a subscription tier. A column that leaves a quarter of the table empty and fills the rest with a reseller price is more misleading than useful.
Why Sora is not registered in this rubric at all
Because no document from OpenAI has been read. All three domains — openai.com, sora.com and sora.chatgpt.com — return a 403 status to our server, both through our own fetch tooling and through plain curl. Even the current version name of Sora is unconfirmed, and a version name that has not been observed is not entered into this reference. No empty row was created for it either, because this rubric ranks versions, and no version name is available to us. The day these domains open up, the corresponding row will be added.
Components not yet assessed
Higgsfield was reviewed, and what it offers turned out not to be its own model: it serves Seedance 2.5 and other vendors models on its own platform, exactly as Runway does. So it has no place in a rubric that measures models. Hailuo, Grok Imagine and Luma have not yet been evaluated; their absence from this table means the assessment has not been scheduled, not that they have been disqualified.
When our top pick is not the right fit
- If you need an explainer video with Persian narration, this table does not provide a complete answer: none of these four components speaks Persian, and voice production is a separate pipeline stage.
- If all you need is a five-second silent shot, the cheapest row in the table is sufficient, and the extra cost of the top rows has no technical justification.
- If you need long-form video and 4K simultaneously, none of these four components supports that combination in a single generation pass today.
Known weaknesses and limits
- Generation time has no dedicated column in this table, because no vendor has published a figure for it.
- Price also has no dedicated column: three components are priced in dollars on the Runway list, and Kling is not on that list.
- The Iran column carries data for only two of the four components; the rest are recorded as unknown.
- Kling reference-input figure is extracted from the Omni-mode guide, because the dedicated 3.0 guide publishes no figure for it.
- Sora is not registered in this table because no OpenAI page opens for our server.
- Every figure is extracted from vendor technical documentation rather than our own testing; these four components have not been run side by side on a shared prompt.
Technical verdict
For narrative work and character consistency, Seedance 2.5. For professional delivery quality, Kling. For integration into software you are building, Veo 3.1. And if cost is the only binding constraint, Gen-4.5. If the output has to be in Persian, provision a separate voice-production stage in the pipeline from the start of the project: that is the one parameter none of these four components solves for you.
Frequently raised questions, with documented answers
What is the best AI for generating video
For narrative work and character consistency, Seedance 2.5, with 30 seconds per generation pass and 50 reference inputs. For output at delivery quality, Kling VIDEO 3.0, the only component in this rubric with native 4K.
Which component produces the longest video
Seedance 2.5, at 30 seconds per generation pass. Kling delivers fifteen, Gen-4.5 ten, and Veo 3.1 eight. Veo can extend further, but the extended output is generated only at 720p.
Which AI video component speaks Persian
None of these four. Kling, the only one that publishes its spoken-language list, names five languages and Persian is not among them. For Persian output, provision voice production as a separate pipeline stage.
Can these components be accessed from Iran
Veo has no official route; Iran is not on Google list of supported countries. For Kling and Seedance, no document has been read, and no estimate is offered in its place. We do not sell accounts and do not recommend circumvention methods.
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