Models Comparison
Reformation AI gives you access to a wide range of AI models from different providers. This page compares the capabilities, context windows, and other important features of these models to help you choose the right one for your needs.
Understanding Model Capabilities
When choosing an AI model, consider these key factors:
Context Window
The maximum number of tokens (roughly words) the model can process in a single conversation. Larger context windows allow the model to "remember" more of your conversation and process longer documents.
Max Output
The maximum number of tokens the model can generate in a single response. Models with larger output limits can provide more comprehensive answers.
Input Types
The types of data the model can accept as input. Some models only accept text, while others can process images, audio, or other data types.
Output Types
The types of data the model can generate. Most models output text, but some can generate images, code, or structured data.
Token: AI models process text as "tokens," which are pieces of words. In English, 1 token is approximately 4 characters or 0.75 words. For example, the sentence "Reformation AI is great" might be 5 tokens.
OpenAI Models
| Model | Context Window | Max Output | Input Types | Output Types | Best For |
|---|---|---|---|---|---|
| GPT-4o | 128,000 tokens | 4,096 tokens | Text, Images | Text | Complex reasoning, multimodal tasks, creative content |
| GPT-4.1 | 128,000 tokens | 4,096 tokens | Text | Text | Advanced reasoning, long-form content, complex instructions |
| GPT-4o Mini | 128,000 tokens | 4,096 tokens | Text, Images | Text | Faster responses, everyday tasks, cost-effective multimodal |
Anthropic Models
| Model | Context Window | Max Output | Input Types | Output Types | Best For |
|---|---|---|---|---|---|
| Claude Opus 4 | 200,000 tokens | 4,096 tokens | Text, Images | Text | Most advanced reasoning, research, complex analysis |
| Claude Sonnet 4 | 200,000 tokens | 4,096 tokens | Text, Images | Text | Balance of performance and cost, everyday tasks |
| Claude Sonnet 3.7 | 200,000 tokens | 4,096 tokens | Text, Images | Text | Balanced performance, document analysis |
| Claude Sonnet 3.5 | 200,000 tokens | 4,096 tokens | Text, Images | Text | Balanced performance, document analysis |
| Claude Haiku 3.5 | 200,000 tokens | 4,096 tokens | Text, Images | Text | Fast responses, simple tasks, cost-effective |
Google Models
| Model | Context Window | Max Output | Input Types | Output Types | Best For |
|---|---|---|---|---|---|
| Gemini 2.0 Flash | 128,000 tokens | 8,192 tokens | Text | Text | Fast responses, simple tasks |
| Gemini 2.5 Pro | 1,000,000 tokens | 8,192 tokens | Text, Images, Audio | Text | Advanced reasoning, multimodal tasks, extremely long context |
| Gemini 2.5 Flash | 1,000,000 tokens | 8,192 tokens | Text, Images | Text | Fast responses, cost-effective for long context |
Choosing the Right Model
When selecting a model for your task, consider these factors:
For Complex Reasoning and Analysis
Choose advanced models like GPT-4o, Claude Opus 4, or Gemini 2.5 Pro. These models excel at complex problem-solving, detailed analysis, and nuanced understanding.
For Everyday Tasks
Models like Claude Sonnet 4, GPT-4o Mini, or Gemini 2.5 Flash offer a good balance of performance and cost for general use cases like drafting emails, summarizing content, or answering questions.
For Processing Long Documents
If you need to analyze or summarize very long documents, choose models with large context windows like Gemini 2.5 Pro (1M tokens) or Claude models (200K tokens).
For Image Analysis
When working with images, select multimodal models like GPT-4o, Claude Opus 4, or Gemini 2.5 Pro that can process both text and images.
For Cost-Sensitive Applications
If budget is a concern, models like Claude Haiku 3.5, GPT-4o Mini, or Gemini 2.0 Flash offer good performance at lower costs.
Next Steps
Now that you understand the different models available, you can: