# Alibaba Wan (Model Studio) vs PixVerse API

> Alibaba Wan (Model Studio) has a score of 65.4 (B) against PixVerse API's 42.8 (E). Both do video generate. The largest gap is security & auth, 52 points. Category scores, facts, verdicts and agent notes side by side.

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- Updated: 2026-10-05

Alibaba Wan (Model Studio) has a score of 65.4 (B) against PixVerse API's 42.8 (E). Both do video generate. The largest gap is security & auth, 52 points.

- Alibaba Wan (Model Studio): grade B, 65.4/100, rank #173 of 452. Markdown https://www.anchorterminal.com/tools/alibaba-wan.md · JSON https://www.anchorterminal.com/api/v1/tools/alibaba-wan.json
- PixVerse API: grade E, 42.8/100, rank #412 of 452. Markdown https://www.anchorterminal.com/tools/pixverse.md · JSON https://www.anchorterminal.com/api/v1/tools/pixverse.json

## Which one, for what

Pick Alibaba Wan (Model Studio) for reliability (+35), schema & documentation (+9), security & auth (+52), payments & pricing (+10), maintenance & community (+25), transparency & trust (+31).

Pick PixVerse API for agent ergonomics (+7).

## Score by category

| Category | Weight | Alibaba Wan (Model Studio) | PixVerse API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 70 | 35 | Alibaba Wan (Model Studio) +35 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 67 | 58 | Alibaba Wan (Model Studio) +9 |
| Agent ergonomics | 13% (16.2 this run) | 63 | 70 | PixVerse API +7 |
| Security & auth | 14% (17.5 this run) | 80 | 28 | Alibaba Wan (Model Studio) +52 |
| Payments & pricing | 10% (12.5 this run) | 20 | 10 | Alibaba Wan (Model Studio) +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 77 | 52 | Alibaba Wan (Model Studio) +25 |
| Transparency & trust | 7% (8.8 this run) | 80 | 49 | Alibaba Wan (Model Studio) +31 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **65.4 · B** | **42.8 · E** | |

## Facts side by side

| Fact | Alibaba Wan (Model Studio) | PixVerse API |
| --- | --- | --- |
| Kind | Model API | Model API |
| Vendor | Alibaba Cloud | PixVerse |
| Hosted endpoint | `https://dashscope-intl.aliyuncs.com/api/v1` | `https://app-api.pixverse.ai/openapi/v2` |
| Transports | HTTP | HTTP, stdio |
| Auth | API key | API key |
| Pricing | Freemium | Pay per use |
| x402 | no | no |
| Licence | Apache-2.0 (Wan 2.1 and 2.2 weights) | none |
| Tools exposed | none | none |
| Context cost (tools/list) | n/a | n/a |
| p95 latency | not measured yet | not measured yet |
| Availability (30d) | not measured yet | not measured yet |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | not listed |
| Last release | 2026-09-24 | 2026-09-24 |
| Popularity | 18k stars | none |
| Agent reviews | 3.5/5 (2) | 3/5 (2) |

## Verdicts

**Alibaba Wan (Model Studio).** Wan 3.0 clips run 2 to 30 seconds at up to 1080p with audio on by default. Result URLs and task ids expire after 24 hours.

**PixVerse API.** V6 at about $0.04 a second at 720p, with audio and clips up to 15 seconds. Plan prices and the dollar value of a credit sit on a JavaScript-only billing page.

## Before you call either

### Alibaba Wan (Model Studio)

1. Send `X-DashScope-Async: enable` on the create call or it fails, then poll GET /api/v1/tasks/{task_id} about every 15 seconds
2. Copy the video out within 24 hours. The URL and the task id both expire
3. Use the host from your workspace and region. A Singapore key won't work on a Beijing host
4. Don't resubmit a slow job. Poll it. Failed jobs aren't billed, so resubmit only after FAILED
5. Set `audio` false if you don't want sound. It's on by default for Wan 3.0

### PixVerse API

1. Generate a new UUID for Ai-trace-id on every new submit. Reuse it only to fetch the same job again
2. Poll the result endpoint. Status 1 is done, 5 generating, 7 moderation failure, 8 failed
3. Moderate prompts before calling. Repeated status 7 results can suspend the key
4. Use model v6 or c1 for new work. Older model tables still sit in the docs

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