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Get started freeGPT-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
textParent Communication Email
Write a professional email to parents about a student's progress or a class update.
Social Media Content Calendar Generator
Generate a complete month of social media content ideas organized by platform, content type, and posting schedule.
Support Ticket Detective: Bucket Audience Problems
Turn support tickets, FAQs, and customer emails into thematic pain-point buckets with headline ideas for each.
Best for GPT-4o
textHiring Scorecard
Create a structured scorecard to evaluate candidates consistently.
Cart Recovery Email Sequence
Plan and write a complete 3-part cart abandonment email sequence. Systematically recovers lost sales across multiple touchpoints.
Negative Review Response
Respond to a negative review professionally and empathetically. Turns public complaints into trust-building moments.