bytedance
ByteDance: Seedance 2.0
bytedance/seedance-2.0
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, bytedance/seedance-2.0 is a ByteDance video-generation model that accepts text, image, audio, and video inputs and produces video. The catalog describes text-to-video, image-to-video with first- and last-frame control, and multimodal reference-to-video; it also reports particular strength in preserving character consistency. These are catalog-reported capabilities, not independently measured results. No independent model card or benchmark evidence was available in this source pack, so workload testing is needed.[1]
Strengths
- Catalog-listed multimodal generation: text, image, audio, and video inputs can produce video.[1]
- Catalog-described first- and last-frame control for image-to-video tasks.[1]
- Catalog-described reference-based generation and reported character-consistency strength, without independent measurement here.[1]
Limitations
Where to use it
Sources
- [1] OpenRouter catalog · ByteDance: Seedance 2.0Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Seedance 2.0 is a video generation model from ByteDance. It supports text-to-video, image-to-video with first and last frame control, and multimodal reference-to-video. It is particularly strong at preserving character consistency,...
Specifications
- Model ID
- bytedance/seedance-2.0
- Canonical ID
- bytedance/seedance-2.0-20260414
- Creator
- bytedance
- Added to OpenRouter
- 15.04.2026
- Context length
- 0
- Modality
- text+image+audio+video->video
- Input modalities
- text, image, video, audio
- 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 | input: audio |
| Video | No measurement | input: video · 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) |
|---|---|---|---|---|---|---|
| Seed | 0 | — | — | — | — | 100% |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.