alibaba
Alibaba: Wan 2.7
alibaba/wan-2.7
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
Wan 2.7 (alibaba/wan-2.7) is a video generation model from Alibaba, listed in the OpenRouter catalog with text and image inputs and video output. According to that catalog, it supports text-to-video, image-to-video with first and last frame control, and reference-to-video guided by multiple reference images. These capabilities are source-reported, not independently measured: the pack contains no model card or benchmark results, so quality and behavior should be validated on your own workloads.[1]
Strengths
- The OpenRouter catalog reports three generation modes: text-to-video, image-to-video, and reference-to-video that uses multiple reference images to guide style and content.[1]
- Catalog-described first and last frame control in image-to-video may help when a clip's endpoints must be fixed; this is a reported feature, not a verified one.[1]
- The catalog lists adjustable sampling parameters (max_tokens, temperature, top_p), suggesting some control over generation behavior.[1]
Limitations
- All evidence comes from a single OpenRouter catalog entry; an independent model card was not available in this source pack, so reported capabilities remain unverified.[1]
- No benchmark results or evaluation data appear in the source; real output quality, speed, and cost behavior need validation on your workloads.[1]
- Context length, license terms, and hardware requirements are absent from the catalog entry; they are unknown rather than confirmed limitations.[1]
Where to use it
Sources
- [1] OpenRouter catalog · Alibaba: Wan 2.7Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Wan 2.7 is a video generation model from Alibaba. It supports text-to-video, image-to-video with first and last frame control, and reference-to-video, where multiple reference images guide the style and content...
Specifications
- Model ID
- alibaba/wan-2.7
- Canonical ID
- alibaba/wan-2.7-20260414
- Creator
- alibaba
- Added to OpenRouter
- 15.04.2026
- Context length
- 0
- Modality
- text+image->video
- Input modalities
- text, image
- Output modalities
- video
- Token pricing
- No per-token price in the source snapshot — see OpenRouter for the billing unit
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | — |
| Coding | No measurement | — |
| Agents | No measurement | — |
| Writing | No measurement | — |
| Reasoning | No measurement | — |
| Document analysis | No measurement | — |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | output: video |
| Embeddings | No measurement | — |
Evaluations
No evaluations are supplied for this model.
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| AtlasCloud | 0 | — | — | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.