Text to Video
Generates video clips from written text prompts, accepting up to 10,000 tokens of input context for detailed scene descriptions.
Kling
Kling 3.0
Kling 3.0 is a video generation model developed by Kling, released with a training date of February 2026. It supports both text-to-video and image-to-video workflows, accepting text prompts, image URLs, and multiple configuration options as inputs. The model is identified by the ID kling-video-v3.0-std and is available on MindStudio as part of the Kling model family. Kling 3.0 is suited for creators and developers who need to generate video content from written descriptions or existing images. Its dual input support makes it flexible for use cases ranging from concept visualization to animating static imagery. The model accepts a context window of up to 10,000 tokens, giving users room to provide detailed prompts and configuration parameters.
February 2026
10,000 context
N/A output
Text to Video
Image to Video
Configurable Output
Multimodal Input
Model Overview
High-signal model metadata in a structured two-column overview table.
Provider
The entity that provides this model.
Kling
Input Context Window
The number of tokens supported by the input context window.
10,000
tokens
Maximum Output Tokens
The number of tokens that can be generated by the model in a single request.
N/A
tokens
Open Source
Whether the model's code is available for public use.
No
Release Date
When the model was first released.
February 2026
Knowledge Cut-off Date
When the model's knowledge was last updated.
February 2026
API Providers
The providers that offer this model. This is not an exhaustive list.
Kling
Modalities
Types of data this model can process.
Video
Text
Image
What is Kling 3.0
A fuller summary of positioning, capabilities, and source-specific details for Kling 3.0.
Kling 3.0 is a video generation model developed by Kling, released with a training date of February 2026. It supports both text-to-video and image-to-video workflows, accepting text prompts, image URLs, and multiple configuration options as inputs. The model is identified by the ID kling-video-v3.0-std and is available on MindStudio as part of the Kling model family.
Kling 3.0 is suited for creators and developers who need to generate video content from written descriptions or existing images. Its dual input support makes it flexible for use cases ranging from concept visualization to animating static imagery. The model accepts a context window of up to 10,000 tokens, giving users room to provide detailed prompts and configuration parameters.
Capabilities
What Kling 3.0 supports
Image to Video
Animates a provided image URL into a video, allowing static visuals to be used as the starting frame or reference for generation.
Configurable Output
Supports multiple select-type inputs at generation time, enabling control over output parameters such as aspect ratio, duration, or style mode.
Multimodal Input
Accepts a combination of text, image URLs, and dropdown selections in a single request, supporting flexible prompt construction.
Pricing for Kling 3.0
Primary API pricing shown in the same “quick compare” spirit as the reference page.
Input tokens
N/A
Per million tokens
Output tokens
N/A
Per million tokens
API Access & Providers
Places where this model is available, based on the synced detail-page metadata.
Kling
Configuration & Parameters
The configurable options currently documented for this model.
Duration
SelectNegative Prompt
TextDescription of what to exclude from the video.
Aspect Ratio
SelectSound
SelectWhether sound is generated simultaneously when generating a video.
Supported Request Parameters
Parameters currently listed by OpenRouter or the local catalog for this model.
Resources & Documentation
Official model cards, release notes, docs, and other references synced from the source page.
Community discussion
What people think about Kling 3.0
Kling 3.0 discussions are most active in r/klingO1, r/KlingAI_Videos, r/generativeAI. Top Reddit threads cluster around benchmark and model-comparison threads, safety and censorship questions.
The strongest match in this snapshot has 879 upvotes and 213 comments.
if that's even possible?
I’ve put together a collection of clips to show you how AI is progressing. This year just started, and we’re already at this level! These clips were created using ChatGPT + Video Model : [Kling 3.0](https://higgsfield.ai/kling-3) on Higgsfield. As you can see, there are so many possibilities, from action scenes to slow motion to the first clip which was scary haha and more
Title says it. Which website offers the most affordable prices for Kling and Seedance? I generate huge amounts of videos and I'm really not comfortable with paying thousands per week for different subscriptions and credits on different websites (it's also very hard to follow through with all of the subs), I have to adapt and find the cheapest all-around options.
What's your experience?
Full disclosure: building a swipe-based AI dating sim called [Amoura.io](https://amoura.io/l/klingaimarch25) and we've been generating a ton of short profile-style clips for thousands of photorealistic characters.
After doing this at scale one thing became really obvious. Some clips feel like something a friend filmed on their phone. Others feel instantly off even when the quality is high. And it's not always clear why.
The staged ones have smooth looping motion, perfect timing, she's looking right at the camera like she knows she's being filmed. Everything feels intentional.
The real ones have hesitation. Imperfect timing. She looks away for a second. The camera drifts. Something happens that feels unplanned.
KLING 3.0 PROMPT FOR FIRST PHOTO
"She gently adjusts her hair and starts adjusting her shorts then grins shyly *like she didn't mean to, small adjustment, soft involuntary smile, slight weight shift, nothing performed, camera drifts slightly like someone's holding it"*
The words "involuntary" and "didn't mean to" have been doing a lot of work for us honestly.
Still trying to crack the loop so it doesn't feel like a GIF, and getting natural timing between actions instead of that evenly spaced puppet feel.
What's the #1 thing that makes a Kling video feel fake to you? Anyone found specific wording that consistently gets more candid behavior?
FAQ
Common questions about Kling 3.0
What input types does Kling 3.0 accept?
Kling 3.0 accepts image URLs, text prompts, and multiple select-type configuration inputs, supporting both text-to-video and image-to-video generation workflows.
What is the context window for Kling 3.0?
Kling 3.0 has a context window of 10,000 tokens, which applies to the text input provided when generating a video.
What is the training data cutoff for Kling 3.0?
According to the model metadata, Kling 3.0 has a training date of February 2026.
Does Kling 3.0 support image-to-video generation?
Yes, Kling 3.0 supports image-to-video generation. Users can provide an image URL as input, and the model will generate a video based on that image.
Do I need an API key to use Kling 3.0 on MindStudio?
No API key is required to use Kling 3.0 on MindStudio. The model is available directly through the MindStudio platform.
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