In the AI Video Generation Field: Sora 2's "Prompt Too Long" Issue Analysis and Practical Solutions
In the AI video generation field, the release of Sora 2 has brought creators powerful content production capabilities. However, in late December 2025, many users encountered "Prompt too long" error messages when using Sora 2 to generate videos, causing previously functional prompts to suddenly fail. This article provides an in-depth analysis of the technical background of this limitation and offers practical solutions for scenarios such as e-commerce videos and refined content production.
Technical Background of Sora 2 Prompt Token Limitation
Timeline of Limitation Changes
In late December 2025, OpenAI introduced new prompt length limitations to Sora 2, marking an important product strategy adjustment:
- Before limitation: Early versions of Sora had virtually no clear restrictions on prompt length, supporting users in entering extremely detailed scene descriptions
- After limitation: Current version limits prompts to approximately 2000 Tokens
- Scope of impact: All users accessing through Sora Web application and API interface calls are affected by this limitation
Token Calculation Rules
Understanding how tokens are calculated is crucial for optimizing prompts:
- Chinese text: Each Chinese character consumes approximately 1.5-2 Tokens on average
- English text: Each English word consumes approximately 1-1.3 Tokens on average
- Special symbols and formatting: Punctuation marks, line breaks, etc. also consume tokens
- Actual case: A 1000-character detailed Chinese scene description typically consumes 1500-2000 Tokens
🎯 Technical Recommendation: Before submitting prompts, we recommend using Tokenizer tools (such as OpenAI's tiktoken library) to pre-calculate token count. For projects requiring precise cost and length control, we recommend making API calls through the API易 apiyi.com platform, which provides built-in token counting functionality to help you monitor prompt length in real-time.
Analysis of Limitation Reasons
Possible reasons why OpenAI introduced this limitation include:
- Cost control: Longer prompts mean higher computational resource consumption
- Quality optimization: Overly verbose prompts may cause generated results to deviate from core intent
- User experience: Encouraging users to refine core requirements and improve generation efficiency
- System stability: Reducing the impact of extreme inputs on model inference performance
Prompt Token 限制对不同场景的影响
电商视频生成场景
电商视频制作是受此限制影响最严重的领域之一。一个典型的电商产品视频提示词通常包含:
- 产品细节描述: 材质、颜色、尺寸、纹理等 (约 400-600 Tokens)
- 场景设置: 拍摄环境、光照条件、背景元素 (约 300-500 Tokens)
- 镜头运动: 推拉摇移、特写、全景等运镜指令 (约 200-300 Tokens)
- 氛围营造: 情绪基调、色彩风格、音乐节奏 (约 200-300 Tokens)
- 品牌元素: Logo 展示、品牌色调、视觉识别 (约 100-200 Tokens)
总计: 单个电商视频提示词往往需要 1200-1900 Tokens,接近或超出 2000 Token 限制。
💡 场景建议: 对于电商视频等复杂场景,我们建议采用分段生成策略。通过 API易 apiyi.com 平台调用 Sora 2 API,您可以将一个完整的产品展示视频拆分为 3-5 个片段分别生成,然后在后期进行无缝拼接。该平台支持批量调用,价格仅为官网的 1/10,单次生成仅需 0.12 美元。
精细化内容创作场景
对于需要精确控制画面细节的创作者(如影视预演、建筑可视化),原有的详细提示词策略面临挑战:
受限前的典型提示词 (约 2500 Tokens):
在一个阳光明媚的下午,镜头缓缓推进一座现代化的玻璃幕墙办公楼。建筑采用参数化设计,外立面由不规则的三角形玻璃单元组成,每个单元反射着不同角度的天空和云朵。建筑高度约 200 米,共 50 层,底层有 6 米高的架空空间...
(后续还有大量关于光影、材质、人物活动的描述)
受限后的优化提示词 (约 1800 Tokens):
现代参数化玻璃办公楼,三角形幕墙单元,200 米高,50 层。下午阳光,云朵反射。底层架空 6 米,镜头缓推...
(保留核心要素,删除冗余描述)
🎯 优化策略: 使用关键词密集型表达替代完整句子,删除形容词堆叠,聚焦视觉核心元素。对于需要保持创意完整性的项目,建议通过 API易 apiyi.com 测试不同提示词版本,该平台提供灵活的按次计费模式,支持快速迭代优化。
创意叙事场景
故事类视频(如微电影、广告片)通常需要详细的情节铺陈和情感描述,2000 Token 限制对叙事连贯性造成明显影响:
优化前: 完整故事线 + 角色背景 + 情感弧光 (约 3000 Tokens)
优化后: 核心情节 + 关键画面 + 情绪关键词 (约 1900 Tokens)
损失: 部分细腻的情感表达和次要情节线被迫删减
突破 Prompt Token 限制的 5 种实战方法
方法 1: 提示词压缩优化
核心原则: 保留视觉核心信息,删除冗余修饰
优化技巧:
-
关键词提取: 将完整句子转换为核心关键词
- 优化前: "一位身穿蓝色西装的中年男性商务人士"
- 优化后: "中年男性,蓝色西装"
- Token 减少: 约 40%
-
场景简化: 删除非视觉核心的描述
- 优化前: "温暖的午后阳光透过百叶窗洒进房间,在木质地板上形成斑驳的光影"
- 优化后: "午后阳光,百叶窗光影,木地板"
- Token 减少: 约 60%
-
术语替代: 使用专业术语替代长句描述
- 优化前: "镜头从远处快速向主体移动,同时略微向上仰拍"
- 优化后: "快速推镜头,低角度仰拍"
- Token 减少: 约 50%
💰 成本优化: 提示词压缩不仅能解决长度限制,还能降低 API 调用成本。通过 API易 apiyi.com 平台调用 Sora 2,配合优化后的提示词,可以显著提升生成效率。该平台支持 10 秒和 15 秒视频生成,横竖屏自由选择,单次仅需 0.12 美元。
方法 2: 分段生成与后期拼接
适用场景: 电商产品展示、长镜头叙事、复杂场景转换
实施步骤:
- 提示词分割: 将一个完整视频的提示词拆分为 3-5 个独立片段
- 独立生成: 分别为每个片段生成 5-10 秒视频
- 后期拼接: 使用 Premiere、Final Cut Pro 等工具无缝拼接
- 转场优化: 添加淡入淡出、交叉溶解等转场效果
案例示例:
- 片段 1 (1800 Tokens): 产品特写 + 材质细节
- 片段 2 (1600 Tokens): 使用场景 + 用户互动
- 片段 3 (1500 Tokens): 品牌标识 + 购买引导
🚀 快速开始: 推荐使用 API易 apiyi.com 平台的批量生成功能,支持一次性提交多个提示词,系统自动排队处理。相比官网逐个手动生成,效率提升 5 倍以上,且价格仅为官网的 1/10。
方法 3: 模板化提示词库
核心思路: 建立可复用的提示词模块,按需组合
模板示例:
【基础模块】
- 时间: 清晨/上午/午后/黄昏/夜晚
- 天气: 晴天/阴天/雨天/雪天
- 光线: 自然光/人工光/背光/侧光
【场景模块】
- 室内: 办公室/家居/商场/工厂
- 室外: 城市街道/自然风光/公园/海滩
【运镜模块】
- 固定: 静止镜头/慢摇/平移
- 运动: 推镜头/拉镜头/跟随/环绕
【风格模块】
- 色调: 冷色调/暖色调/高对比/低饱和
- 氛围: 商务/温馨/科技/复古
使用方法: 从每个模块中选择 1-2 个关键词组合,总 Token 控制在 1500-1800 之间
💡 模板管理: 建议在 API易 apiyi.com 平台创建提示词模板库,平台支持保存常用提示词,下次生成时一键调用,大幅提升创作效率。
方法 4: 多轮迭代优化
策略: 先用简短提示词生成初版,根据结果逐步添加细节
迭代流程:
- 第一轮 (800 Tokens): 核心场景 + 主体 + 基础运镜
- 第二轮 (1200 Tokens): 在第一轮基础上添加光影细节
- 第三轮 (1800 Tokens): 补充氛围、色调、次要元素
优点: 每一轮都能快速验证效果,避免在错误方向上浪费 Token
🎯 迭代测试: 通过 API易 apiyi.com 进行多轮迭代测试非常经济。平台按次计费,无需订阅,测试成本极低。您可以快速验证 10+ 个提示词变体,找到最优方案。
方法 5: 借助 AI 辅助压缩提示词
工具推荐: 使用 ChatGPT、Claude 等大语言模型优化提示词
优化指令示例:
请将以下 Sora 视频生成提示词压缩到 1800 Tokens 以内,保留所有核心视觉元素,删除冗余描述:
[粘贴原始提示词]
AI 优化效果:
- 自动识别并删除重复描述
- 将长句转换为关键词
- 保留专业术语和核心参数
- 优化后 Token 减少 30-50%
API易 Sora 2 API: Low-Cost High-Performance Solution
Comparison Between Official API and API易 Platform
For Sora 2's Prompt Token limitations, choosing the right API calling platform can significantly reduce testing and production costs:
| Comparison Dimension | OpenAI Official | API易 apiyi.com |
|---|---|---|
| Billing Model | Subscription-based, $200/month | Pay-per-use, $0.12 per generation |
| Token Limit | 2000 Tokens | 2000 Tokens (consistent with official) |
| Generation Duration | 10s / 15s | 10s / 15s |
| Screen Orientation | Landscape / Portrait | Landscape / Portrait |
| Interface Stability | Official guarantee | Reverse-engineered API, stable and reliable |
| Batch Generation | Manual submission required | Supports batch queuing |
| Cost Advantage | Baseline price | Only 1/10 of official cost |
💰 Cost Calculation: If you need to generate 100 videos per month, the official subscription costs $200, while API易 platform only costs $12, saving 94% of costs. This advantage is particularly significant for high-frequency scenarios like e-commerce and content creation.
Core Advantages of API易 Sora 2 API
- Price Advantage: Only $0.12 per generation, the most cost-effective solution on the market
- Flexible Billing: Pay-per-use, no subscription required, pay only for what you use
- Complete Features: Supports 10s / 15s videos, freely switch between landscape and portrait
- Stable and Reliable: Based on Sora Web reverse-engineered interface, fully consistent with official functionality
- Quick Integration: Provides standard RESTful API, complete integration in 5 minutes
- Technical Support: 7×24 Chinese customer service, solving integration and usage issues
🚀 Quick Start: Visit API易 apiyi.com to register an account, obtain an API Key, and start calling the Sora 2 video generation interface. The platform provides detailed API documentation and code examples, supporting mainstream languages like Python, Node.js, and Java.
Typical Application Scenarios
Scenario 1: Batch Generation of E-commerce Product Videos
- Requirement: Generate 20-50 product showcase videos daily
- Solution: Use API易 batch interface to submit prompt queues
- Cost: $2.4 – $6 per day, far lower than hiring video editors
Scenario 2: Social Media Content Creation
- Requirement: Generate portrait short videos for platforms like TikTok and Xiaohongshu
- Solution: Use API易 portrait mode to quickly produce 15s materials
- Advantage: Supports high-frequency iteration, testing multiple creative directions
Scenario 3: Ad Creative Testing
- Requirement: Test 10+ ad scripts before launch
- Solution: Quickly generate 10s preview videos through API易
- Cost: Total testing cost only $1.2, extremely low trial-and-error cost
Frequently Asked Questions
How to Accurately Calculate Token Count in Prompts?
Method 1: Use OpenAI Official Tokenizer Tool
- Visit platform.openai.com/tokenizer
- Paste your prompt to see real-time Token count
Method 2: Use Python tiktoken Library
import tiktoken
encoding = tiktoken.encoding_for_model("gpt-4")
tokens = encoding.encode("Your prompt content")
print(f"Token count: {len(tokens)}")
Method 3: Use API易 Platform Built-in Tool
- Log in to API易 apiyi.com
- Paste content in the prompt input box
- System automatically displays real-time Token count
💡 Best Practice: Always calculate Token count before formal generation. We recommend reserving 10% Token buffer space (i.e., keep within 1800 Tokens) to avoid generation failure due to minor excess.
Will Generation Quality Decrease After Compressing Prompts?
Short-term Impact: Slight decrease (approximately 5-10%), mainly in detail richness
Long-term Optimization: Through multiple rounds of testing, you can find the optimal keyword combination, with quality loss controllable within 3%
Core Recommendations:
- Retain visual core elements (subject, scene, lighting, camera movement)
- Remove non-visual descriptions (emotions, backstory, abstract concepts)
- Use professional terminology to replace lengthy descriptions
🎯 Quality Assurance: Through API易 apiyi.com's low-cost advantage, you can quickly test generation effects before and after compression, compare quality differences, and find the optimal balance.
How Stable is the API易 Platform Interface?
The Sora 2 API provided by API易 is based on the official Web application's reverse-engineered interface, with the following characteristics:
- Functional Consistency: Fully consistent with OpenAI official site, supports all official features
- Stability Guarantee: 7×24 monitoring, 99.5% availability
- Rate Limit Management: Automatically handles API rate limiting, no need to worry about frequent calls being blocked
- Error Retry: Automatic retry mechanism ensures generation success rate
Current Test Results: Prompts within 2000 Tokens can be stably generated, consistent with official performance
🚀 Stability Verification: We recommend new users first conduct small-batch testing (5-10 generations), verify interface stability and generation quality, then proceed with large-scale calls. API易 platform supports on-demand recharging, no need for large upfront investment.
How to Seamlessly Splice Segmented Generated Videos?
Tool Recommendations:
- Professional: Adobe Premiere Pro, Final Cut Pro
- Lightweight: CapCut, DaVinci Resolve
Splicing Techniques:
- Match Frame Rate: Ensure all clips use the same frame rate (recommend 24fps or 30fps)
- Transition Processing: Use 0.5-1 second fade in/out or cross dissolve
- Color Uniformity: Use same color tone keywords in Sora prompts
- Audio Processing: Add background music to cover clip seams
Best Practice: Set the same "scene style" and "lighting tone" for each segment in prompts to ensure visual consistency
Summary and Outlook
The 2000-token prompt limit introduced by Sora 2 in December 2025, while presenting challenges for e-commerce videos, refined content, and other scenarios, has also driven creators to optimize prompt strategies and improve generation efficiency. Through the 5 practical methods introduced in this article—prompt compression, segmented generation, template-based management, multi-round iteration, and AI-assisted optimization—you can effectively overcome this limitation and maintain flexibility in content creation.
For teams and individuals requiring high-frequency Sora 2 API calls, we strongly recommend using the API易 apiyi.com platform. This platform offers Sora 2 video generation services at just 1/10th of the official price (only $0.12 per generation), supporting 10-second/15-second videos with flexible landscape and portrait orientation options, based on stable and reliable reverse-engineered official interfaces. Whether for batch generation of e-commerce product videos or social media content creation, API易 can significantly reduce your costs and enhance creative efficiency.
🎯 Experience Now: Visit API易 apiyi.com, register for an account and obtain your API Key to begin your cost-effective Sora 2 video generation journey. The platform provides comprehensive API documentation, code examples, and 24/7 technical support to help you integrate quickly and start creating.
As AI video generation technology continues to evolve, we anticipate that future versions of Sora may introduce more intelligent prompt parsing mechanisms, potentially supporting multimodal inputs (such as reference images + text descriptions). Staying informed about technological developments and flexibly adjusting your creative strategies will help you maintain a competitive advantage in the AI video creation field.
