Kling

Kling 4.0 Flash

KlingDynamic Pricing
Alias:kling-4.0-flash
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Compare kling-4.0-flash API pricing, supported endpoints, capabilities and access options on Modelsell.

可灵视频生成文生视频图生视频Omni参考快速生成new
Pricing
View full pricing
Context
—
Maximum input window
Modalities
→
Released
Nov 2026

Pricing by Supplier

Compare prices and service performance for this model across suppliers.

Suppliers1
USD · Per secondPerformance · Last 24 hours
SupplierDiscountTierReservation rate/second
kling

可灵官方API 直连

-20%
720pWithout video or element input
$0.0752$0.094
720pWith video or element inputReserves 20 extra seconds for input.
$0.0504$0.063
Crossed-out amounts are standard prices.Performance over the last 24 hours; actual results vary by request.

Scroll horizontally to compare all prices and performance metrics.

Final charges use the official Kling cash bill. The table shows reservation rates, with 20 seconds reserved for output when duration is omitted.

Capabilities / Supported modalities

Function callingToolsJSON modeStructured outputVision
Input
Output

Provider & data privacy

Provider
Unknown
Tokenizer
BPE (vendor-specific)
License
Provider-specificUnknown
Data retention86 daysNot used for upstream training by default

Performance

Benchmarks

Scores on standardized evaluations. Higher percentages are better — and rank percentile shows

Metrics sourced fromArtificial Analysis 2026-09-30·Kling 4.0 Flash

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.

About Kling 4.0 Flash

Kling 4.0 Flash(可灵 4.0 Flash)

Kling 4.0 Flash 是快手可灵面向高频创作的视频生成模型,强调生成速度和成本效率,适合创意预览、社交短片、广告素材和多版本内容制作。

模型特点

  • 支持文生视频、单张首帧图生视频、Omni 多素材参考和视频编辑。
  • 输出时长 3–20 秒,分辨率 720p,动态范围 8-bit SDR,可生成带声音的视频。
  • API 提示词最多 26,000 个英文字符;参考图片最多 10 张、参考视频最多 5 段,单任务各类参考素材合计最多 15 份。
  • API 开放日期记为 2026-11-04。参数量、知识截止日期及 token 上下文长度未公开。

标准价格

本站模型 ID:kling-4.0-flash。以下为美元标准参考价,实际费用叠加所选分组倍率。

输入方式720p 参考价格计费时长
文字、首帧或图片参考,无视频输入$0.094 / 秒输出时长
含视频输入(参考视频、编辑视频或视频角色)$0.063 / 计费秒输出时长 + max(输入视频总时长, 输出时长)

例如,无视频输入生成 5 秒视频,标准参考费用为 $0.47;输入 5 秒、输出 5 秒时,按 10 个计费秒计价,为 $0.63;输入 10 秒、输出 5 秒时,为 $0.945。

可灵官方价格表对应为无视频输入 0.6 Unit/秒、有视频输入 0.4 Unit/计费秒;美元参考金额采用可灵在 Replicate 官方模型发布页的公开报价,不套用旧版通用资源包单价,也不包含资源包或促销折扣。

配置与接入状态

本条目已配置模型介绍和标准价格,尚未绑定供应商渠道,本站调用尚未开放。

后续接入官方现金账单渠道时,按任务返回的原币 list_price 结算,美元账单直接计价;人民币账单使用提交时冻结的模型汇率 $1 = ¥6.8 折算。该汇率沿用现有 Kling 4.0 配置。公开美元参考价用于预算,人民币账单折算结果可能不同。

资料核实日期:2026-11-11。

来源

Use cases and prompting

创作建议

先描述主体、动作和场景,再补充运镜、光线与声音。参考图用于保持主体外观,参考视频用于表达动作、节奏或运镜。建议明确指定 3–20 秒时长,并检查生成结果中的人物、商品细节与音画对应。

本站模型 ID 为 kling-4.0-flash,当前仅完成模型信息与价格配置,尚未绑定可调用渠道。接入完成后提供经过验证的本站调用示例。

Flash 规格为 720p、8-bit SDR,图生视频使用单张首帧;其他可灵版本的多关键帧、1080p、4K 和 HDR 参数不能直接套用。

API access

API documentation

kling-4.0-flash

Use the linked documentation for model-specific request parameters and examples.

Authentication

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.

Rate limits

SupplierRPMTPMRPD
klingUnlimitedUnlimitedUnlimited

No restriction

Frequently asked questions about kling-4.0-flash

What is kling-4.0-flash?

Compare kling-4.0-flash API pricing, supported endpoints, capabilities and access options on Modelsell.

How do I call kling-4.0-flash?

Create an API key with access to kling-4.0-flash, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.

How is kling-4.0-flash 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 kling-4.0-flash for my project?

Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.