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Get started freeGPT-5.1 vs Gemini 1.5 Flash
Compare GPT-5.1 and Gemini 1.5 Flash. Build AI products powered by either model on Appaca.
Model Comparison
| Feature | GPT-5.1 | Gemini 1.5 Flash |
|---|---|---|
| Provider | OpenAI | |
| Model Type | text | text |
| Context Window | 400,000 tokens | 1,000,000 tokens |
| Input Cost | $1.25/ 1M tokens | $0.07/ 1M tokens |
| Output Cost | $10.00/ 1M tokens | $0.30/ 1M tokens |
Stop choosing. Use both.
With Appaca you don't have to pick — build apps that are powered by GPT-5.1, Gemini 1.5 Flash, 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.
Gemini 1.5 Flash
Google1. Extremely fast and cost-efficient
- Designed for ultra-low latency inference.
- Handles high-throughput real-time applications and large-scale pipelines.
2. Strong multimodal capabilities
- Accepts text, images, audio, video, and PDFs.
- Efficient cross-modal understanding suitable for classification, extraction, and captioning.
3. Excellent for long-context tasks
- Supports up to 1M tokens, enabling analysis of long documents, transcripts, and entire codebases.
- Performs well on long-context translation and summarization.
4. Optimized for production workloads
- Low operational cost and fast inference make it ideal for enterprise automation.
- Great for chatbots, customer support systems, and background agent tasks.
5. High throughput with scalable rate limits
- Flash variants support extremely high RPM for high-traffic environments.
6. Reliable performance on everyday tasks
- Good at chat, rewriting, transcription, extraction, and structured reasoning.
- More efficient than Pro for tasks that don't require deep reasoning.
7. Ideal for multimodal high-volume apps
- Strong performance on captioning, OCR-style extraction, audio transcription, and video understanding.
8. Designed for developer workflows
- Supports function calling, structured output, and integration with the Gemini API and Vertex AI.
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
textPull Request Description
Write a comprehensive pull request description for a code change.
Podcast Episode Promotion Post
Write social media copy to promote a new podcast episode.
Project Kickoff Document
Write a project kickoff document to align stakeholders on scope and goals.
Best for Gemini 1.5 Flash
textCode Refactoring Guide
Write a refactoring guide for improving a specific piece of code.
Marketing Tech Stack (MarTech) Recommendations
Design a marketing technology stack that supports executing and measuring persona-targeted campaigns centered on your USP and challenges.
Letter of Intent (LOI) Draft
Draft a letter of intent for a business transaction or partnership.