GPT-5.4 vs Claude 4.6 Sonnet
Compare GPT-5.4 and Claude 4.6 Sonnet. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.4 | Claude 4.6 Sonnet |
|---|---|---|
| Provider | OpenAI | Anthropic |
| Model Type | text | text |
| Context Window | 1,050,000 tokens | 1,000,000 tokens |
| Input Cost | $2.50/ 1M tokens | $3.00/ 1M tokens |
| Output Cost | $15.00/ 1M tokens | $15.00/ 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 4.6 Sonnet
Anthropic1. Most capable Sonnet model yet
- Anthropic describes Sonnet 4.6 as its most capable Sonnet model.
- It is a full upgrade across coding, computer use, long-context reasoning, agent planning, knowledge work, and design.
2. Stronger coding and professional task performance at Sonnet pricing
- Pricing remains at $3/M input and $15/M output, matching Sonnet 4.5.
- Anthropic says early-access developers strongly preferred it to Sonnet 4.5, and often even to Opus 4.5 for practical work.
3. Long-context, agent-friendly reasoning
- Supports up to a 1M token context window in beta.
- Anthropic reports better consistency, fewer false claims of success, fewer hallucinations, and more reliable follow-through on multi-step tasks.
4. Modern API controls for adaptive work
- Supports adaptive thinking and the
effortparameter for balancing speed, cost, and depth. - Gains dynamic filtering for web search and web fetch, helping agent workflows keep only relevant information in context.
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
textContent Hub (Central Resource Library)
Create a website content hub that centralizes resources related to persona challenges and positions your USP as the solution.
Case Study (Story + Proof + Objections)
Craft a case study outline that proves your USP by showing how a customer like your persona overcame their challenges.
SEO Blog Post Generator
Create high-ranking, engaging blog posts with proper SEO structure, keyword optimization, and readability.
Best for Claude 4.6 Sonnet
textCompetitor Gap Finder: Unserved Audience Pain Points
Identify pain points your competitors likely ignore and explain why addressing them builds trust and differentiation.
SERP Feature Forecasting + Content Structure
Predict likely SERP features for a keyword and structure content to maximize visibility (snippets, PAA, etc.).
Sales Objection Flipper: Reveal Hidden Pain Points
Convert common sales objections into underlying fears and create educational content ideas that overcome them before the sales call.