GPT-5.4 vs Claude 4.1 Opus
Compare GPT-5.4 and Claude 4.1 Opus. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.4 | Claude 4.1 Opus |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,050,000 tokens | 1,000,000 tokens |
| Input Cost | $2.50/ 1M tokens | $15.00/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $75.00/ 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.
Claude 4.1 Opus
Anthropic1. Advanced Coding Performance
-
Achieves 74.5% on SWE-bench Verified, improving the Claude family's state-of-the-art coding abilities.
-
Stronger at:
- Multi-file code refactoring
- Large codebase debugging
- Pinpointing exact corrections without unnecessary edits
-
Outperforms Opus 4 and shows gains comparable to jumps seen in past major releases.
2. Improved Agentic & Research Capabilities
- Better at maintaining detail accuracy in long research tasks.
- Enhanced agentic search and step-by-step problem solving.
- Performs reliably across complex multi-turn reasoning tasks.
3. Validated by Real-World Users
- GitHub: Better multi-file refactoring and code adjustments.
- Rakuten Group: High precision debugging with minimal collateral changes.
- Windsurf: One standard deviation improvement on their junior dev benchmark - similar magnitude to Sonnet 3.7 → Sonnet 4.
4. Hybrid-Reasoning Benchmark Improvements
- Improvements across TAU-bench, GPQA Diamond, MMMLU, MMMU, AIME (with extended thinking).
- Stronger robustness in long-context reasoning tasks.
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
textEducational Webinars (Deep-Dive Curriculum)
Create educational webinar topics and formats that teach persona-relevant skills and connect your USP to solving key challenges.
Contrarian Blog Series (Challenge Wisdom + Reframe)
Craft a blog series that challenges conventional wisdom and positions your USP as the innovative solution to persona challenges.
Marketing Attribution Model (Measure What Works)
Design an attribution model to measure how USP-focused campaigns influence persona engagement, conversion, and retention.
Best for Claude 4.1 Opus
textCode Generator
Generate efficient, documented, and bug-free code snippets in any programming language.
Sales Call Script Generator
Create effective sales call scripts with discovery questions, objection handling, and closing techniques.
Review Miner: Extract Recurring Pain Points
Analyze competitor reviews/testimonials to uncover recurring customer frustrations and turn them into content topics.