omni-fastCompare omni-fast API pricing, supported endpoints, capabilities and access options on Modelsell.
o200k_baseScores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Omni Fast
This model is not included in the current benchmark snapshot.
Missing models or measurements are not zero scores.
Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.
Omni Fast 适合用文字与图片参考快速探索短视频方向。你可以把商品或人物作为画面起点,再描述动作、镜头和环境变化,制作营销创意、场景片段和内容素材。它更适合先看见方案,再决定哪些方向值得继续打磨。
试拍时先选一个主要目标。例如用同一张商品图比较摄影棚与生活方式场景,或让人物完成一个自然的小动作,再调整镜头是否跟随。保持主体参考和大部分要求,只改变一个变量,能更容易判断结果差异,而不是每次都生成完全不同的画面。
参考图应清晰,重要外观与需要保留的细节要明确写出。大幅度运动、复杂遮挡和多人互动,会增加主体变化的可能。生成后应查看整个片段,尤其检查面部、商品结构、标识和物体接触;满意的构图和气氛,还需要与最终发布内容相协调。
不同视频创作方式的输入与控制范围有区别。想延续图片时,重点描述接下来的运动;想修改已有片段,则应使用视频编辑方式。先确认自己的任务是生成新内容还是编辑原片,能让创作目标更清楚。
保留参考图中浅蓝色花瓶的轮廓、釉面和插花。花瓶放在窗边木桌上,镜头缓慢推近,花枝被微风轻轻吹动,背景简洁,阳光柔和。不增加物品,不生成文字,不改变花瓶形状。
再只把环境改成浅灰摄影棚,比较生活方式与产品展示两种方向。
怎样让比较更有效? 使用相同主体与动作,只改变场景或光线的一项。
想改已有视频怎么办? 选择视频编辑方式,提供原片并限定修改目标。
最该检查什么? 主体轮廓、细小标识、遮挡处与整个动作过程。
Use the linked documentation for model-specific request parameters and examples.
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| 标准按次 | Unlimited | Unlimited | Unlimited |
No restriction
Compare omni-fast API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to omni-fast, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.
