LLM ComparisonGPT-5.4Sora 2

GPT-5.4 vs Sora 2

Compare GPT-5.4 and Sora 2. Build AI products powered by either model on Appaca.

Model Comparison

FeatureGPT-5.4Sora 2
ProviderOpenAIOpenAI
Model Typetextvideo
Context Window1,050,000 tokens400,000 tokens
Input Cost
$2.50/ 1M tokens
N/A
Output Cost
$15.00/ 1M tokens
N/A

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Strengths & Best Use Cases

GPT-5.4

OpenAI

1. Best Intelligence at Scale

  • OpenAI positions GPT-5.4 as its frontier model for agentic, coding, and professional workflows.
  • Built for complex professional work where stronger reasoning and higher answer quality matter.

2. Configurable Reasoning + Multimodal Input

  • Supports configurable reasoning effort from none to xhigh, letting teams balance speed and depth.
  • Accepts both text and image inputs while producing text output.

3. Massive Context for Long-Running Work

  • 1.05M token context window supports very large codebases, documents, and multi-step workflows.
  • Allows up to 128 k output tokens for long-form answers and larger generations.

4. Updated Knowledge & Broad Tool Support

  • Knowledge cut-off of Aug 31 2025 keeps it current for newer frameworks and business context.
  • Supports tools like web search, file search, code interpreter, hosted shell, computer use, and MCP in the Responses API.

Sora 2

OpenAI

1. Advanced Video Generation Capability

  • Produces richly detailed, cinematic video clips from simple text or image prompts.
  • Handles complex scenes, motion, lighting, environments, and multi-object interactions with high fidelity.

2. Synced Audio Generation

  • Generates audio that aligns with the timing, actions, and mood of the video.
  • Useful for creating complete media outputs without requiring external sound design.

3. Multi-Modal Input, Multi-Media Output

  • Accepts text and image inputs, enabling:
    • Storyboard-to-video workflows
    • Image-to-video transformations
    • Concept illustrations expanded into full scenes
  • Outputs video and audio, making it ideal for end-to-end content creation.

4. Resolution-Optimized Performance

  • Provides high-quality generation at:
    • Portrait: 720 x 1280
    • Landscape: 1280 x 720
  • Optimized for common mobile and web video formats used in social media, ads, and creative production.

5. Powerful Media Understanding

  • Interprets natural language with strong scene comprehension.
  • Capable of rendering realistic movement, physics, emotions, and atmosphere.
  • Suitable for:
    • Marketing videos
    • Short films and creative storytelling
    • Product demos and conceptual visualizations

6. Integrated Across Major API Endpoints

  • Supported in Chat Completions, Responses, Realtime, Assistants, and Videos endpoints.
  • Makes it easy to integrate into agent workflows or interactive production pipelines.

7. Consistent Model Behavior via Snapshots

  • Offers stable snapshots to lock model performance across long-term projects.
  • Ensures reproducibility for content pipelines, asset libraries, and enterprise workflows.

8. Ideal Use Cases

  • Storyboarding → full-scene generation
  • Product or app demos visualized from text
  • Educational and explainer videos
  • Social media content creation
  • Creative ideation and prototyping

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