Build AI powered apps for your work
Get started freeGPT-5.1 vs o4-mini
Compare GPT-5.1 and o4-mini. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.1 | o4-mini |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Model Type | text | text |
| Context Window | 400,000 tokens | 200,000 tokens |
| Input Cost | $1.25/ 1M tokens | $1.10/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $4.40/ 1M tokens |
Stop choosing. Use both.
With Appaca you don't have to pick — build apps that are powered by GPT-5.1, o4-mini, for your specific use case.
Build your first app freeStrengths & 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.
o4-mini
OpenAI1. Fast and efficient reasoning
- Provides strong reasoning capabilities with significantly lower latency and cost compared to larger o-series models.
- Ideal for lightweight reasoning tasks, logic steps, and quick multi-step thinking.
2. Optimized for coding tasks
- Performs exceptionally well in code generation, debugging, and explanation.
- Useful for IDE integrations, coding assistants, and developer tools with tight latency budgets.
3. Strong visual reasoning
- Accepts image inputs for tasks such as diagram interpretation, charts, UI analysis, and visual logic.
- Great for hybrid text-image reasoning flows.
4. Large 200K-token context window
- Capable of processing long documents, multi-file codebases, or extended analysis.
- Reduces need for chunking or external retrieval pipelines.
5. High 100K-token output limit
- Supports lengthy reasoning sequences, full codebase explanations, or multi-section documents.
6. Broad API compatibility
- Available in Chat Completions, Responses, Realtime, Assistants, Batch, Embeddings, and Image workflows.
- Supports streaming, function calling, structured outputs, and fine-tuning.
7. Cost-efficient for production
- Lower input/output pricing makes it suitable for large-scale deployments, SaaS products, and recurring tasks.
8. Succeeded by GPT-5 mini
- GPT-5 mini offers improved speed, reasoning power, and pricing, but o4-mini remains a strong option for cost-sensitive workloads.
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
textCurriculum Unit Plan
Design a multi-week curriculum unit with goals, assessments, and lesson sequence.
Scope Creep Response
Write a professional response to push back on scope creep in a project.
Performance Analysis Guide
Write a guide to analyse and improve the performance of a system or feature.
Best for o4-mini
textCorporate Rate Negotiation: Email Script Generator
Draft a professional, data-backed email to negotiate corporate hotel rates and value-add perks.
Product Reorder Reminder Email
Send a timely reorder reminder for consumable products. Drives repeat purchases with personalized replenishment timing.
Ebook Chapter Draft
Write a chapter of an ebook with engaging narrative and practical content.