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Grok Imagine Video
- Video Generation
- Multimodal
- Fast Inference
- Creative Content
Grok Imagine Video is xAI’s high‑fidelity video generation model that creates short clips with synchronized audio from text or image inputs. It is notable for using xAI’s Aurora autoregressive engine to produce 480p–720p videos with cinematic motion and sound in a single pass.
About the model
What is Grok Imagine Video?
Grok Imagine Video is a video generation model from xAI that produces short, high‑quality clips, often with native synchronized audio, from text, images, or existing video. It is mainly used for text‑to‑video and image‑to‑video generation to create cinematic scenes, character animations, and visually rich promo or social content. It is also used to extend or edit existing videos, add motion and sound to still images, and prototype storyboards and music videos. The model is part of the broader Grok Imagine family built on xAI’s Aurora autoregressive video architecture.
Model capabilities
5 Core Capabilities
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Text-to-video
Generates short video clips directly from text prompts, following instructions about scenes, motion, composition, and cinematic style.
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Image-to-video
Animates a single reference image into a smooth video while preserving appearance, adding motion, depth, and lighting changes.
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Reference-guided video
Uses multiple reference images to keep characters, style, or environment consistent across generated video shots and scenes.
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Audio-synced clips
Produces videos with synchronized audio tracks, including sound effects, ambience, and speech aligned to on-screen action.
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Format control
Supports adjustable duration, resolution, and aspect ratios, enabling tailored video outputs for different platforms and use cases.
Use cases
6 Most Valuable Use Cases
- Text-to-video ads
- Image-to-video social clips
- Reference-based brand visuals
- Cinematic short scenes
- Product demo animations
- Storyboarding video concepts
Transparent pricing
Cost Comparison
LLM API offers a unified Grok Imagine Video-compatible endpoint with simpler, often lower effective per-second costs compared to most branded video generators.
| Provider | Region | Latency | Throughput | Uptime | Input ($/1M) | Output ($/1M) | Context |
|---|---|---|---|---|---|---|---|
| LLM API BEST | Global | $0.06/sec | Up to ~15s clips (typical Grok Imagine Video configs) | ||||
| xAI | US, EU (e.g. eu-west-1) | $0.06/sec | Up to ~15s video; price per second varies by resolution | ||||
| AtlasCloud | Global | $0.06/sec | Text-to-video and image-to-video via Grok Imagine Video | ||||
| Klifgen | Global | ||||||
| OpenAI (Sora 2 Pro, closest equivalent) | Global | $0.50/sec | Up to ~20s synced‑audio HD clips |
Performance benchmarks
Technical Specifications
| Metric | Grok Imagine Video | OpenAI Sora | Google Veo 3.x |
|---|---|---|---|
| Max Duration (text-to-video) | 10–15s | 20s | ≥60s |
| Max Resolution | 720p | 1080p | 1080p (up to 4K in demos) |
| Generation Modes | Text-to-video, image-to-video, video editing | Text-to-video, image-to-video, video-to-video | Text-to-video, image-to-video, video editing |
| Native Audio Support | Yes (voices, music, SFX) | Yes (ambient + effects) | — |
| Typical API Price (text-to-video) | ~$0.06/s | — | — |
| Notable Architecture | Autoregressive "Aurora" video model | Diffusion-style video transformer | Video diffusion / latent transformer |
| Latency per Clip (10s class) | — | — | — |
| Official Max Aspect Ratios | Multiple (incl. portrait, landscape) | Multiple (incl. vertical, square) | Multiple (cinematic, vertical, square) |
30-day usage via LLM API
- 120M
- API requests (last 30 days)
- 9.4M
- Unique users (last 30 days)
- 1.8B
- Video frames generated (last 30 days)
- 99.8%
- Avg uptime (last 30 days)
Architecture & Integration
Why Build on LLM.API?
One unified API. Every major model. Built-in reliability, cost control, and observability.
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Unified AI Routing
Automatically route each request to the optimal model across providers based on performance, latency, and cost. One endpoint, dynamic policies, no SDK sprawl.
One endpoint, every model -
Cost-Aware Control
Set smart cost policies per route, workspace, or feature. Mix premium and budget models while keeping strict spend guardrails and clear unit economics.
Cut spend, keep quality -
Resilient Fallbacks
Define automatic failover chains when models error, time out, or degrade. Keep your AI features online without custom retry logic or provider lock‑in.
No single point of failure -
Deep Observability
Track latency, tokens, cost, and errors across all providers in one place. Correlate issues to routes and experiments with production-grade telemetry.
See every call, instantly -
Task-Level Orchestration
Express multi-step AI workflows as tasks with built-in retries, dependencies, and tools. Ship complex agents without wiring custom orchestration infrastructure.
From prompts to workflows -
High-Throughput Batch
Submit massive batch jobs across providers with queueing, parallelism controls, and automatic retries. Optimize throughput and cost for large offline workloads.
Scale jobs, not servers
Decision guide
When to Use — When NOT to Use
Use it if...
- You need to generate short, eye-catching marketing videos from text prompts or scripts.
- Your use case involves creating quick video concepts or storyboards for creative ideation.
- You need AI-generated video clips to complement social media campaigns and announcements.
- Your use case involves experimenting with cutting-edge text-to-video models from the xAI ecosystem.
- You need visually engaging demos or prototypes without hiring full video production teams.
- Your use case involves creating illustrative videos where roughness is acceptable over cinematic polish.
Avoid if...
- You need precise control over shot composition, camera paths, and frame-by-frame editing.
- Your workload requires highly photorealistic, production-grade video for film or television releases.
- You need guaranteed consistent character appearance across long multi-scene narrative videos.
- Your workload requires strict content filters and enterprise-grade compliance certifications already well documented.
- You need deterministic, reproducible outputs where small prompt changes never significantly alter results.
- Your workload requires on-premise deployment or offline generation without cloud-based dependencies.
FAQ
Frequently Asked Questions
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What is Grok Imagine Video?
Grok Imagine Video is an xAI generative model that creates videos from text prompts, optimized for fast iteration and developer-focused integration.
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Which modalities does Grok Imagine Video support via LLM.API?
Grok Imagine Video currently supports text-to-video generation and may also accept image-plus-text prompts depending on the specific LLM.API route configuration.
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How is Grok Imagine Video priced on LLM.API?
Grok Imagine Video is billed per generated video or per compute unit, with exact pricing defined in the LLM.API Grok Imagine Video pricing table.
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What is the context window of Grok Imagine Video?
Grok Imagine Video accepts prompts up to the maximum token or character limits documented for its endpoint in the LLM.API reference.
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How fast is Grok Imagine Video when generating videos?
Grok Imagine Video typically has higher latency than text models, with generation time depending on video duration, resolution, and load on LLM.API infrastructure.
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How do I access Grok Imagine Video through LLM.API?
You call the standard LLM.API generation endpoint with the model identifier for Grok Imagine Video and provide your text prompt plus optional video parameters.
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How does Grok Imagine Video compare to other video generation models on LLM.API?
Grok Imagine Video emphasizes rapid iteration, on-brand stylistic control, and xAI ecosystem compatibility compared with more general-purpose or research-focused video generators.
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What are the main limitations of Grok Imagine Video?
Grok Imagine Video can struggle with fine-grained text rendering, complex physics, long coherent narratives, and may produce artifacts or temporally inconsistent frames.
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Can Grok Imagine Video generate audio or soundtracks with its videos?
By default, Grok Imagine Video produces silent video clips, and any audio must be added separately unless LLM.API specifies combined audio-video support.
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Are there safety or content restrictions when using Grok Imagine Video on LLM.API?
Yes, Grok Imagine Video requests are filtered by LLM.API and xAI safety policies, which restrict disallowed content such as explicit, violent, or illegal material.