GPT-5.1 vs GPT-4o
Compare GPT-5.1 and GPT-4o. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.1 | GPT-4o |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 128,000 tokens |
| Input Cost | $1.25/ 1M tokens | $2.50/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $10.00/ 1M tokens |
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Strengths & Best Use Cases
GPT-5.1
OpenAI1. Configurable Reasoning for Agentic Tasks
- Built to excel in autonomous or semi-autonomous coding workflows, with adjustable reasoning effort for planning, refactoring and debugging.
2. Fast Multi-Modal Input with Large Output
- Accepts both text and image inputs while producing text outputs.
- Offers up to 128 k output tokens, allowing long responses and code generation across multiple files.
3. Large Context & Knowledge Cut-Off
- 400 k token context window supports processing large codebases or documents.
- Knowledge cut-off of Sep 30 2024 ensures familiarity with recent tools and frameworks.
4. Reasoning Token Support
- Provides explicit support for reasoning tokens, enabling developers to fine-tune the balance between reasoning depth and speed.
GPT-4o
OpenAI1. High-intelligence, general-purpose model
- Strong reasoning, creativity, summarization, and problem-solving.
- Great balance of speed, accuracy, and cost.
2. Multimodal input support
- Accepts text + image inputs for visual reasoning, extraction, or description.
- Output is text only, making it predictable for production.
3. Excellent for structured and unstructured tasks
- Performs well on Q&A, writing, analysis, classification, chat, and planning.
- Supports Structured Outputs, making it suitable for deterministic workflows.
4. Strong tool-use capabilities
- Supports function calling, API orchestration, and tool-augmented workflows.
- Integrates well with assistants, batch operations, and automation pipelines.
5. Large context for complex tasks
- 128K context allows multi-document reasoning, multi-step conversations, and large input payloads.
6. Production-ready reliability
- Stable outputs, predictable behaviors, and broad modality coverage.
- Supported across all major API endpoints.
7. Lower latency than o-series reasoning models
- Faster responses due to no dedicated reasoning step.
- Ideal for interactive or near-real-time applications.
8. Fine-tuning and distillation supported
- Enables specialization for domain-specific tasks.
- Distillation helps create smaller, efficient custom models.
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-5.1
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.
Customer Advisory Board (CAB) Program
Design a customer advisory board that gathers persona leader insights to refine marketing strategy, strengthen your USP, and address evolving challenges.
Social Listening Strategy (Signals + Opportunities)
Develop a social listening strategy to monitor persona challenge conversations and surface opportunities to highlight your USP.
Best for GPT-4o
textBuild Emergency Fund
Calculate personalized emergency fund targets with this AI prompt, offering strategies to build a buffer without sacrificing essentials.
Marketing Event Strategy (Workshops + Networking)
Design an event strategy with persona-focused workshops, panels, and networking centered on their challenges and your USP solution.
Meeting Notes Summarizer
Transform raw meeting transcripts or messy notes into clear, structured summaries with action items.