Best AI Image-to-Video Generators 2026: 5 Models Compared
A model-first comparison for animating still images and references into video: identity preservation, motion, first/last-frame control, duration, resolution, audio and credit cost.
Evidence basis: current first-party model, product and credit documentation plus editorial workflow analysis. We do not claim a measured visual-quality winner without equivalent controlled testing. Methodology · Sources & corrections
Image-to-video has a different failure mode from text-to-video: the model must create convincing motion without losing the identity, layout or visual cues already present in the source image. The useful comparison therefore focuses on preservation, motion control, frame constraints and the cost of retrying a shot.
Quick comparison
| Model | Image-to-video duration | Reference/control signal | Credit/pricing signal |
|---|---|---|---|
| Runway Gen-4.5 | 2–10 seconds | Image + text prompt, aspect-ratio control, camera choreography | 12 credits/second; Standard or higher |
| Google Veo 3.1 in Flow | 4, 6 or 8 seconds depending on tier/workflow | First frame, first + last frame, Ingredients/References on supported tiers | Lite/Fast/Quality use Flow credits per generation |
| Kling Video 3.0 | Up to 15 seconds | Image-to-video, reference-to-video, multimodal inputs and shot control | Membership checkout varies by market/account |
| MiniMax Hailuo 2.3 | 6 or 10 seconds | Image input, motion commands; start/end-frame workflows also exist in Hailuo family | Credit-based consumer tiers; verify active model/quality |
| Pika 2.2 | 5 or 10 seconds | Image-to-video plus Pikaframes/Pikascenes for broader reference workflows | 6/12 credits at 720p or 18/45 at 1080p for 5s/10s |
What matters most in image-to-video
- Subject preservation: face, clothing, product shape, text and small details should not drift unnecessarily.
- Motion quality: body movement, object physics and camera movement should remain plausible across frames.
- Frame control: first/last-frame or reference workflows are valuable when the shot must arrive at a known visual state.
- Prompt obedience: the model should animate the image according to the requested action rather than inventing unrelated changes.
- Retry economics: a cheap generation is not cheap if identity drift forces repeated attempts.
1. Runway Gen-4.5 — controlled motion from a source image
Runway's current Gen-4.5 documentation supports Image to Video on Standard and higher plans. The workflow accepts text plus an image, supports durations from 2 to 10 seconds and costs 12 credits per second. Runway also documents detailed camera choreography, timing and sequenced instructions as part of Gen-4.5 prompting.
That makes the raw math transparent: 5 seconds uses 60 credits and 10 seconds uses 120. For image-to-video, however, the more useful metric is credits per accepted clip after accounting for identity drift or motion retries.
Read the Runway Review 2026 · See Runway pricing
2. Google Veo 3.1 in Flow — first/last-frame and reference workflows
Google Flow currently documents Frames to Video using a first frame and, on supported Veo 3.1 tiers, first-and-last-frame generation. It also supports Ingredients/References workflows on supported models. This matters when a still image is not merely inspiration but a hard visual constraint for the shot.
Current Flow credit documentation lists Veo 3.1 Lite, Fast and Quality as credit-metered generation tiers. Lite and Fast support 4-, 6- and 8-second workflows, while Quality is billed at the higher generation tier. Feature availability differs by model, so check the active model before assuming every reference mode is available.
Compare Veo 3.1 in the text-to-video model guide
3. Kling Video 3.0 — multimodal references and longer shots
Kuaishou's Video 3.0 integrates image-to-video, reference-to-video, text-to-video and in-video editing in one multimodal architecture. The current model series extends generation to as much as 15 seconds and adds native audio across multiple languages, dialects and accents.
For image-to-video work, the attraction is not just clip length: the model is designed to combine visual references with narrative and shot instructions. Because membership pricing and checkout details can vary by market/account, this guide does not force one universal subscription figure.
Read the Kling AI Review 2026 · Compare Runway vs Kling AI
4. MiniMax Hailuo 2.3 — motion-heavy image animation
MiniMax documents Hailuo 2.3 as supporting image input with 6- or 10-second generation and outputs up to 1080p depending on the selected workflow. The model update emphasizes physical action, stylization, facial micro-expressions and response to motion commands, which are directly relevant when a still subject needs convincing movement.
Hailuo's consumer service remains credit-based. Its current terms publish multiple subscription tiers and purchasable credits, but the effective cost of a clip depends on the selected model, resolution and account state. Keep branded pricing questions on the dedicated Hailuo review rather than treating one old per-clip number as universal.
Read the Hailuo AI Review 2026
5. Pika 2.2 — transparent image-to-video credit math
Pika's current FAQ publishes image-to-video credit costs directly. Model 2.2 uses 6 credits for 5 seconds at 720p and 12 for 10 seconds; at 1080p, the same durations use 18 and 45 credits. The same FAQ documents Pika 2.2 outputs at either 720p or 1080p.
Pika also separates image-to-video from Pikaframes and Pikascenes, which have their own credit schedules and can be relevant when you need broader frame/reference control. This makes it useful to choose the generation type before comparing raw subscription credit totals.
Read the Pika Review 2026 · Compare Pika vs Runway
First frame, last frame and reference images are not the same thing
| Control type | What it constrains | Why it matters |
|---|---|---|
| First-frame image | How the shot begins | Useful when subject identity and composition must start from an exact visual. |
| First + last frame | Start and destination state | Useful for transitions, reveals and controlled motion arcs. |
| Reference / ingredient images | Characters, objects, style or scene cues | Useful when multiple visual elements must remain recognizable. |
| Single-image animation | One source image plus motion prompt | Fastest workflow, but often gives the model more freedom between frames. |
How to test identity preservation fairly
- Use the same source image across models and avoid changing crop unless a model requires it.
- Ask for the same motion and camera movement.
- Record facial, clothing, product and background drift separately.
- Run multiple generations instead of judging one lucky result.
- Track credits spent until you obtain an acceptable clip.
- Do not compare a first+last-frame workflow against a one-image workflow as if they had equal constraints.
Which image-to-video model should you test first?
Start from the constraint. Test Runway Gen-4.5 when per-second credit math and prompt/camera control matter. Test Veo 3.1 when first/last-frame or reference workflows are central. Test Kling 3.0 when longer multimodal shots or native audio matter. Test Hailuo 2.3 when motion-heavy animation and stylization are central. Test Pika 2.2 when transparent 5/10-second resolution-based credit costs make budgeting easier.
This is a workflow shortlist, not a universal visual-quality ranking. Image-to-video results depend strongly on the source image, prompt, motion complexity and the number of retries you tolerate.