WAN 2.2 vs Sora vs Runway vs Kling — Tested in 2026

Four AI video models dominate the market in mid-2026: WAN 2.2, OpenAI Sora 2, Runway Gen-3, and Kling 1.6. Each won its slice of the market by being the best at one specific thing — but marketing copy doesn’t tell you which is best for your use case.

This is a side-by-side test. Same ten input images. Same prompt for each comparison. Five metrics, scored 1-10. The result is a verdict matrix that maps your use case to the right model without reading reviews from people who only ever tested one.

Test methodology

Ten source images were used as the I2V input across all four models, covering the realistic use-case spread:

• 3 anime / stylized character art (single subject)
• 2 photoreal portraits (head + shoulders)
• 2 full-body realistic photos
• 2 cinematic environment / landscape stills
• 1 product shot (cosmetics)

For each image, the same prompt was issued to all four models with their default quality / length settings. Output was scored on five dimensions, each 1-10:

1. Output quality — sharpness, lighting coherence, anatomical correctness across frames
2. Identity preservation — does the subject remain the same person from frame 1 to last frame?
3. Prompt adherence — what we asked for vs what we got
4. Motion realism — does the motion look physically plausible?
5. Camera control — does the model respect camera direction or override with its own ideas?

TL;DR — which model wins for what

Output quality

Headline: Runway Gen-3 has the highest overall quality (8.65 average), but the spread tells a more nuanced story. WAN 2.2 dominates anime / stylized (9.0+ average for the top three rows). Kling and Sora trade leadership on photoreal portraits. Runway pulls ahead on cinematic / environmental shots. None of them matches WAN 2.2 on stylized content because none of them was trained on as much anime data.

Identity preservation

Kling wins on identity preservationby a clear margin, especially on photoreal portraits. This is its differentiation — most other models drift the face by the 4-second mark; Kling holds it through 10 seconds. WAN 2.2 is comparatively weaker here on photoreal but matches the others on stylized content (where the “identity” is more forgiving).

Prompt adherence

We tested with three prompt categories: simple subject motion (“hair sways gently from left to right”), camera motion (“slow cinematic dolly push-in”), and combined (“subject smiles + camera slowly tilts up”).

Hailuo is the most prompt-faithful— what you ask for is what you get. Runway is close behind. WAN 2.2’s weakness is over-animation on simple prompts (it adds motion that wasn’t requested) and under-control on camera moves. Sora is mid-pack here — strong on simple prompts, less reliable on camera control.

Note: Kling was tested separately because we changed the comparison roster mid-test; it scored 8.5 / 8.0 / 8.5 on the three prompt types respectively (8.3 average).

Speed

For self-host, WAN 2.2 wins outright — open-weights, runs on a 4090 in 30 seconds per 5-second clip. For hosted, Pika and Hailuo are fastest (smaller models = lower per-clip latency); Runway is slowest (it’s the largest model).

Cost per generation

Cost is a tiebreaker, not a leading factor — quality differences usually justify the higher prices. But if you’re generating at volume (1000+ clips/month), the difference between $0.30/clip and $0.95/clip is the difference between $300/mo and $950/mo in costs.

Anime / stylized content (DFPDFP’srsquo;s edge)

We weighted anime / stylized as a category because that’s where WAN 2.2 dominates and where the other models all underperform. Side-by-side test on a stylized anime portrait:

• WAN 2.2 — held the anime style throughout, handled hair / cloth motion naturally, the character looked like the source illustration even by frame 120 (5-sec clip). Score: 9.5.
• Kling— added subtle realism that anime-fans don’t want (eyes shifted toward photoreal, skin gained subtle texture). Decent quality, wrong style. Score: 8.5.
• Sora 2 — drifted noticeably toward 3D-anime / Pixar territory. Smooth motion, wrong aesthetic. Score: 7.0.
• Runway Gen-3 — over-emphasized cinematic shading, lost the flat anime palette. Score: 7.5.

If anime / stylized is your core use case, WAN 2.2 is the only serious option. If you don’t want to self-host, the easiest hosted access is via DFPDFP’srsquo;s I2V tool which runs WAN 2.2 with no content filter at $0.30-class per-clip pricing.

Realistic / cinematic content

For photoreal portraits and cinematic scenes, the order reverses. Runway Gen-3 is the strongest overall (highest ceiling). Kling pulls ahead on identity preservation specifically. Sora is the safest middle choice. WAN 2.2 is viable but you can see the model is straining outside its comfort zone.

Recommendation: Runway for indie film / music video work. Kling for portrait / character shots where identity matters most. Sora for general cinematicwhen you want a safe choice. Avoid WAN 2.2 for high-end realistic work unless you’re self-hosting and want the cost win.

Faceswap accuracy (bonus comparison)

Three of these models have a face-swap mode (Sora, Runway, Kling). WAN 2.2 doesn’t directly — but you can chain it with a face-swap tool like ReActor for the same outcome. DFP does this chaining automatically.

Test: same source video, same target face. Scored on identity match, edge blending, motion stability:

Kling wins faceswap. Notable: WAN 2.2 chained with ReActor is within 0.5-1.0 points of the leaders on every metric and is the only option that permits NSFW.

Available platforms (open vs hosted)

WAN 2.2 is the only model on this list with open weights. That matters for two reasons: cost (self-host is free at unlimited volume), and content control (no NSFW filter unless you explicitly add one).

Verdict matrix

Best for anime

WAN 2.2. Not close. Either self-host or use DFP.

Best for cinematic

Runway Gen-3 for the high-end ceiling. Sora 2 for safer mid-range. Both are expensive vs alternatives.

Best free

Hailuo for SFW (1000 free credits/mo, ~20 clips). DFP for the only NSFW-permitted free tier (20 credits = 1 clip).

Best for production

Runway Gen-3. Pro tooling (motion brush, multi-reference, camera controls), highest ceiling, used by actual film productions. Pay for it.

Best for NSFW or unfiltered

WAN 2.2. Sole option — every other model on this list filters NSFW at the API level. Open weights mean you can run it yourself without a content filter, or use a hosted wrapper that doesn’t add one.

Frequently asked questions

Which model is the absolute best?

There is no “best” model. There is a best model for your use case. Use the verdict matrix above. If you’re unsure: try Runway Gen-3 free trial first (highest ceiling), if the cost is unacceptable drop to Kling or Hailuo.

Can I switch models mid-project?

Yes — most production workflows use multiple models for different shots. Runway for the cinematic establishing shot, Kling for the character close-up, WAN 2.2 for the stylized animated overlay. Stitch in DaVinci Resolve.

What about the new Veo / Kling 2.0 models?

We’ll add them when they ship in stable production form. Both are in beta as of early 2026; this comparison reflects what you can actually use today, not what’s announced.

How often do these rankings change?

The category is moving fast — major model release every 2-3 months. We re-test quarterly. Subscribe to the blog for the next update.

Where can I try WAN 2.2 without setup?

DFPDFP’srsquo;s I2V tool — same WAN 2.2 model, hosted with no content filter, $0.30-class per-clip pricing. 20 free credits at signup cover one full clip.