Grok Imagine Video 1.5 Lite
grok-imagine-video-1.5-lite- 起始價格
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- 上下文
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Pricing by Supplier
比較同一模型在不同供應商的價格與服務表現。
| 供應商 | Discount | 檔位 | Per second/second | ||||
|---|---|---|---|---|---|---|---|
xAI xAI 官方 | 省40% | 1080p | $0.084 | ||||
720p | $0.018 | ||||||
480p | $0.012 |
左右滑動表格，查看完整價格與效能。
能力 / 支援的模態
廠商與數據私隱
效能
基準測試
標準化評測得分。百分比越高越好，並展示排名百分位。
指標來源：Artificial Analysis 2026-09-30·Grok Imagine Video 1.5 Lite
目前基準快照不包含此模型。
缺少模型或測量值不代表零分。
基準圖表保留來源中的模型選擇和推理設定。缺少模型或測量值不代表零分，基準成本或速度也不是本站的服務承諾。
About Grok Imagine Video 1.5 Lite
Use Grok Imagine Video 1.5 Lite through the API endpoints listed on this page. Compare its configured capabilities and supplier prices before choosing an integration.
Use cases and prompting
Starting points for evaluation; supported inputs and options are listed in API access.
Use cases to explore
- Evaluate this model with a small sample from your actual workflow.
Practical tips
Start with the documented input format and compare the output against your acceptance criteria before scaling up.
API access
API 介面文件
grok-imagine-video-1.5-lite請查看對應文件，了解此模型的請求參數與呼叫範例。
身份驗證
所有請求必須攜帶 Authorization: Bearer <TOKEN> 請求頭。Anthropic 格式的端點也接受 x-api-key 請求頭。
在「令牌」頁面生成 API Key，可以按模型、分組、IP、速率等維度精細化授權。
速率限制
| 供應商 | RPM | TPM | RPD |
|---|---|---|---|
| xAI | 無限制 | 無限制 | 無限制 |
無限制
Frequently asked questions about grok-imagine-video-1.5-lite
What is grok-imagine-video-1.5-lite?
Use grok-imagine-video-1.5-lite through the API endpoints listed on this page. Compare its configured capabilities and supplier prices before choosing an integration.
How do I call grok-imagine-video-1.5-lite?
Create an API key with access to grok-imagine-video-1.5-lite, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
How is grok-imagine-video-1.5-lite priced?
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.
How should I evaluate grok-imagine-video-1.5-lite for my project?
Start with the documented input format and compare the output against your acceptance criteria before scaling up.