Name: Wan 2.2 Plus Text to Video API
Brand: Alibaba Cloud

Overview

Alibaba's Wan2.2 is a state-of-the-art AI model designed for multi-modal understanding, especially integrating text and vision inputs. It supports large context processing with superior precision in text-to-vision tasks and complex reasoning.

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Technical Specification

Performance Benchmarks

VQA-bench: 78.3%
Multi-modal Reasoning: 52.7%
Cross-modal Retrieval: 81.9%.

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Performance Metrics

Wan2.1 leads with an overall VBench score of 86.22%, excelling in dynamic motion, spatial relationships, color accuracy, and multi-object interaction. Training foundational video models demands vast compute power and large, high-quality datasets. Open access to these models reduces barriers, empowering more businesses to create tailored, high-quality visual content in a cost-effective way.

Key Capabilities

Vision-Language Fusion: Excels in interpreting and generating responses combining image and text data.
Advanced Reasoning: Strong in multi-step reasoning across modalities for analytics and complex understanding.

API Pricing

480P: $0.105/video
1080P: $0.525/video

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Code Sample

Comparison with Other Models

Vs. Gemini 2.5 Flash: Higher multi-modal accuracy (78.3% vs. 70.8% VQA-bench), better for integrated tasks.

Vs. OpenAI GPT-4 Vision: Larger context window (65K vs. 32K tokens text) supports longer conversations with images.

Vs. Qwen3-235B-A22B: Superior cross-modal retrieval precision (81.9% vs. ~78% estimated), optimized for large-scale vision-language workflows.

Limitations

Occasionally, videos may contain unwanted elements such as text artifacts or watermarks; using negative prompts can mitigate but does not fully eliminate these occurrences.

API Integration

Accessible via AI/ML API. Documentation: available here.

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Use cases

Multi-modal Analysis: Combining image and text data for enhanced comprehension.
Visual Question Answering (VQA): Accurate and context-aware answers based on image-text inputs.
Cross-modal Retrieval: Efficient matching and retrieval across vision and language domains.
Business Intelligence: Complex data interpretation integrating visual content with textual analytics.

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How to use Wan 2.2 Plus Text to Video API

Install any OpenAI-compatible SDK, point it at api.aimlapi.com/v1, and set the model to alibaba/wan2.2-t2v-plus.

import requests, time

headers = {"Authorization": "Bearer " + AIMLAPI_KEY}
job = requests.post(
    "https://api.aimlapi.com/v2/video/generations",
    headers=headers,
    json={
      "model": "alibaba/wan2.2-t2v-plus",
      "prompt": "A serene timelapse of clouds over a mountain range"
    },
).json()
gid = job["id"]

while True:
    res = requests.get(f"https://api.aimlapi.com/v2/video/generations?generation_id={gid}", headers=headers).json()
    if res.get("status") in ("completed", "error"):
        break
    time.sleep(5)
print(res["video"]["url"])

const headers = {
  Authorization: `Bearer ${process.env.AIMLAPI_KEY}`,
  "Content-Type": "application/json",
};
const job = await (await fetch("https://api.aimlapi.com/v2/video/generations", {
  method: "POST",
  headers,
  body: JSON.stringify({
    "model": "alibaba/wan2.2-t2v-plus",
    "prompt": "A serene timelapse of clouds over a mountain range"
  }),
})).json();

let res;
do {
  await new Promise((r) => setTimeout(r, 5000));
  res = await (await fetch(`https://api.aimlapi.com/v2/video/generations?generation_id=${job.id}`, { headers })).json();
} while (!["completed", "error"].includes(res.status));
console.log(res.video.url);

# submit the generation — the response contains the job "id"
curl -X POST https://api.aimlapi.com/v2/video/generations \
  -H "Authorization: Bearer $AIMLAPI_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"alibaba/wan2.2-t2v-plus","prompt":"A serene timelapse of clouds over a mountain range"}'

# then poll until status is "completed" — video.url holds the result
curl "https://api.aimlapi.com/v2/video/generations?generation_id={id}" -H "Authorization: Bearer $AIMLAPI_KEY"

OpenAI-compatible — swap the base URL and it works with your existing SDK.