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Grok Imagine Video 1.5 Preview: xAI’s New #1 Image-to-Video Model, and How to Use It via API

xAI has quietly pushed its most significant video update of the year. Grok Imagine Video 1.5 Preview is now live — API-first, before any broad consumer rollout — and it has landed at the top of the image-to-video leaderboards. Here’s what it actually is, what’s genuinely confirmed versus merely reported, and exactly how to call it as a developer.

⚠️ Reality check on access: Despite some write-ups implying you can “try it free in the browser,” the verified path right now is the API (xAI’s own api.x.ai, plus resellers like fal, Replicate, and Kie.ai). A wider consumer rollout to X Premium tiers is still listed as “in progress.” Treat browser-based “no setup” pitches from third-party sites as their own hosted wrappers, not an official xAI consumer launch.


What it is

Grok Imagine Video 1.5 Preview is xAI’s latest image-to-video generation model. You feed it a still image plus a motion-focused prompt, and it produces a short clip — with natively generated, synchronized audio (dialogue, sound effects, ambient sound, and music) created in the same inference pass as the video, rather than bolted on afterward. That single-pass audio remains one of its clearest differentiators versus Sora, Runway, and Kling. (Replicate readme, Kie.ai)

Official identifiers (xAI Docs):

  • Model name: grok-imagine-video-1.5-preview
  • Alias: grok-imagine-video-1.5-2026-05-30
  • Modalities listed: Image + Video

🔴 Important correction to some articles: The official xAI model page explicitly states this preview model “currently does not support text-to-video.” Replicate confirms it is image-to-video only (every request needs an input image), and points to the separate xai/grok-imagine-video model for text-to-video. So claims that “the 1.5 Preview supports text-to-video, video editing, and multi-image editing” describe the broader Imagine API suite, not this specific preview model. Don’t build a T2V pipeline expecting this exact model alias to handle it.


The benchmark: #1 on the Image-to-Video Arena

This is the headline that drove the attention. On the Arena image-to-video (720p) leaderboard, the current standings are (arena.ai/leaderboard):

RankModelElo
1grok-imagine-video-1.5-preview-720p1473 ±9
2dreamina-seedance-2.0-720p1467 ±11
3happyhorse-1.01443 ±12
4grok-imagine-video-720p (the 1.0 predecessor)1421 ±6
5veo-3.1-audio1397 ±11

The widely-cited “+52 Elo jump” checks out internally: 1473 (new) − 1421 (predecessor) = 52, edging past ByteDance’s Seedance 2.0. This is corroborated by Kie.ai (which cites 1473 vs Seedance’s 1467) and Oimi AI.

⚠️ Conflicting numbers you’ll see online: The Basenor article you linked cites “1404 ±6” as the debut Elo. That figure doesn’t match the arena.ai snapshot (1473) or the +52 math, and is likely a different/earlier capture. Separately, the Artificial Analysis “Image-to-Video (with audio)” board uses a different Elo scale entirely (its leader sits at ~1191) and, at the time of checking, had not yet listed the 1.5 Preview — its top entry there was still Seedance 2.0. (Artificial Analysis I2V leaderboard). Bottom line: the #1 ranking is real and well-supported, but exact Elo values vary by board and shift constantly as votes accumulate. Treat any single number as a snapshot, not gospel.


Verified specs

These are confirmed across the official docs and multiple independent API providers (fal, Replicate, Kie.ai):

SpecValueSource
WorkflowImage-to-video only (input image required)xAI Docs, Replicate
Duration1–15 seconds (default 8)Kie.ai, Replicate
Resolution480p or 720pxAI Docs
Frame rate24 fpsfal (output metadata)
Aspect ratiosauto, 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3Replicate / Kie.ai
Input formatsJPG, JPEG, PNG, WEBP, GIF, AVIFfal
AudioNative, generated & synchronized in one passReplicate / Kie.ai
StatusPreviewxAI Docs

Pricing (this is the part to plan around)

Straight from the official xAI model page — you’re billed per second of generated video, by resolution, plus a small charge per input image:

ItemPrice
Output — 480p$0.08 / second
Output — 720p$0.14 / second
Input image$0.01 each
Rate limit60 requests / minute
Region (official)us-east-1

Worked examples (matching fal’s and JXP’s published math):

  • 5-second 480p clip ≈ $0.40
  • 5-second 720p clip ≈ $0.70
  • 10-second 720p clip ≈ $1.40
  • 15-second 720p clip ≈ $2.10 (+ $0.01 per input image)

Cost scales linearly with duration; generated audio is included at no extra charge. (fal pricing)


How to use it (API only)

Since this is API-first, here’s the practical workflow.

1. Direct via xAI (api.x.ai): Create an API key in the xAI console, then call the image-to-video endpoint with model: grok-imagine-video-1.5-preview (or the dated alias), passing your input image, prompt, duration (1–15), resolution (480p/720p), and aspect_ratio. See the xAI Video Generation / Image-to-Video docs.

2. Via a reseller (often the fastest way to test, with free Playgrounds):

Typical request parameters (Kie.ai / fal schema):


Prompting tips (from xAI’s own Replicate guide)

The model already sees your image, so prompt for motion, not description (Replicate prompt guide):

  • Don’t re-describe the image — tell it what should change (action, camera move, atmosphere).
  • Don’t contradict the source — match the prompt to what’s actually in the photo.
  • Be specific about motion intensity — “car racing past at high speed” beats “car passing.”
  • Always give camera direction — pan, tilt, dolly, orbit, slow push-in, handheld, etc.
  • Negative prompts are ignored — describe what you want instead.
  • Add an AUDIO: block at the end to steer sound design (music, SFX, ambient, short dialogue).
  • Shorter is more stable — 5–8s is the sweet spot; 15s works but is more prone to artifacts.

Honest limitations

  • No 1080p yet — caps at 720p, while Sora and Kling offer 1080p. (1080p is on the rumored roadmap but unconfirmed by xAI.)
  • Quality degrades after ~2–3 chained extensions when stitching clips into longer narratives (community-reported; no xAI fix timeline). (JXP)
  • It’s a “Preview” — rankings and behavior can shift as it matures.
  • Weaker for long continuous scenes, complex multi-character choreography, and exact frame-by-frame control. (ImagineGo review)

Claims I could NOT fully verify (treat with caution)

You asked me not to hallucinate, so here’s the explicit “unconfirmed” pile — these appear in secondary blogs but not in xAI’s official docs, and several sources contradict each other:

  • Generation speed: “~17 seconds” (JXP) vs “~20–30 seconds for a 5s 720p clip” (Basenor). Not independently confirmed.
  • “2–3× faster than Seedance 2.0” — Basenor claim only.
  • Infrastructure: “Aurora autoregressive MoE engine, trained on Colossus 2 with ~555,000 GPUs” (Basenor) vs “Aurora trained on 110,000 NVIDIA GB200 GPUs” (JXP). These conflict and neither is in the official model docs.
  • “Hotshot acquired March 2025” and “1.245 billion videos generated in January 2026” — single-source, unverified.
  • The @grok X announcement — could not load (login wall), so its specific wording is unconfirmed.