GPT-5.4 vs GPT-5.3 Codex
Compare GPT-5.4 and GPT-5.3 Codex. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.4 | GPT-5.3 Codex |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 1,050,000 tokens | 400,000 tokens |
| Input Cost | $2.50/ 1M tokens | $1.75/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $14.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.4
OpenAI1. 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.
GPT-5.3 Codex
OpenAI1. Strongest Codex Model for Agentic Engineering
- OpenAI positions GPT-5.3 Codex as its most capable agentic coding model to date.
- Built for long-horizon software engineering tasks that require planning, iteration, and reliable code transformation across files.
2. Configurable Reasoning + Multimodal Input
- Supports configurable reasoning effort from low to xhigh so teams can trade off depth against latency.
- Accepts both text and image inputs while producing text output.
3. Large Context for Real Codebases
- 400 k token context window helps it work across larger repositories, implementation plans, and supporting documentation.
- Allows up to 128 k output tokens for longer code generations, patches, and technical write-ups.
4. Current Knowledge for Modern Dev Workflows
- Knowledge cut-off of Aug 31 2025 keeps it aligned with newer frameworks, libraries, and tooling.
- Supports streaming, function calling, and structured outputs for agent-style coding workflows.
Prompts to Get Started
Use these prompts to power AI products you build on Appaca. Each works great with the models above.
Best for GPT-5.4
textBrand Messaging Guide (Persona + USP)
Create a brand messaging guide with positioning, value props, proof points, and voice tailored to your persona’s challenges and your USP.
Professional Email Rewriter
Rewrite your rough drafts into polished, professional emails suitable for any business context.
Marketing-to-Sales Enablement Training (USP Talk Track)
Create a training program for the sales team to communicate your USP and address persona challenges with consistent messaging and proof.
Best for GPT-5.3 Codex
textBug Fixer & Debugger
Identify bugs in your code, understand why they happen, and get a corrected version.
Cold Outreach Email Generator
Generate high-converting cold emails for sales, networking, or partnerships.
Meeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.