GPT-5.4 vs Sora 2
Compare pricing, context windows, and strengths for GPT-5.4 by OpenAI and Sora 2 by OpenAI - and see how to put either to work in Appaca.
GPT-5.4
OpenAI's frontier model for complex professional work with best intelligence at scale for agentic, coding, and professional workflows.
View GPT-5.4Sora 2
Flagship video generation model that produces high-quality dynamic videos with synced audio from natural language or image prompts.
View Sora 2GPT-5.4 vs Sora 2 at a glance
Specs and pricing side by side, from the Appaca AI models directory.
| Spec | GPT-5.4 | Sora 2 |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model type | Text | Video |
| Context window | 1.05M tokens | 400K tokens |
| Input price | $2.5 / 1M tokens | - |
| Output price | $15 / 1M tokens | - |
| Video generation | - | $0.1 / second |
| Status | Current | Current |
How GPT-5.4 and Sora 2 differ
What the numbers mean in practice when choosing between GPT-5.4 and Sora 2.
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GPT-5.4's 1.05M tokens context window is roughly 2.6x larger than Sora 2's 400K tokens, so it can work across bigger codebases, contracts, or archives in one pass.
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These are different kinds of model: GPT-5.4 is a text model while Sora 2 is a video model, so they often complement each other in a workflow rather than compete.
Strengths side by side
Where each model shines, according to benchmarks and provider positioning.
GPT-5.4
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
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
Use GPT-5.4 or Sora 2 - or both
Appaca is the AI workspace for operators. Build internal tools and AI co-workers powered by GPT-5.4 or Sora 2 - connected to your real data and ready for your whole team. No code, no deployment.
Describe it, and it's built
Tell the Appaca agent the internal tool you need and it builds a working app powered by GPT-5.4 or Sora 2. No code, no API keys, no deployment.
Switch models without rebuilding
Start on GPT-5.4, test the same tool on Sora 2, and keep whichever performs better - the rest of your app stays exactly as it is.
Automated for the whole team
Schedule tools to run on autopilot - daily digests, weekly reports, real-time triggers - and share them with your whole team from one workspace.
Describe it, and it's built
Tell the Appaca agent what your team needs and it builds a working app powered by GPT-5.4 or Sora 2 - connected to the tools you already use.
Related comparisons
See how GPT-5.4 and Sora 2 stack up against other models in the directory.
FAQs
Pricing models differ: see the full GPT-5.4 and Sora 2 pages in the Appaca AI models directory for current pricing details.
GPT-5.4 has the larger context window at 1.05M tokens, compared to 400K tokens for Sora 2. A larger window means the model can consider more text at once - useful for long contracts, codebases, or months of records.
It depends on the job. Compare the pricing, context window, and strengths above against your workload - and remember the choice isn't permanent. In Appaca you can build a tool on GPT-5.4, test the same tool on Sora 2, and switch at any time without rebuilding anything.
Yes. Appaca is a no-code AI workspace: describe the internal tool your team needs and the Appaca agent builds it as a working app powered by GPT-5.4, Sora 2, or any other model in the directory - with a built-in database, team access, and integrations. No API keys to wire up and nothing to deploy.
Build AI tools with GPT-5.4 or Sora 2
Describe the tool your team needs and get a working app powered by the model you choose - with a built-in database, team access, and integrations. No code, no deployment.