Explore the OpenAI models available in the Giselle workspace. These models are categorized based on their primary strengths and use cases, reflecting OpenAI’s platform structure.

​
Quick Comparison

The following table summarizes the key features of the OpenAI models available in Giselle.
ModelsGenerate TextInput ImageWeb SearchReasoningContext WindowMax Output TokensPricing (Input/Output per 1M tokens)Availability
gpt-5✅✅✅✅ (Highest)400k tokens128k tokens1.25/1.25 / 10.00Pro
gpt-5-mini✅✅✅✅ (High)400k tokens128k tokens0.25/0.25 / 2.00Pro
gpt-5-nano✅✅❌✅ (Medium)400k tokens128k tokens0.05/0.05 / 0.40Free
gpt-image-1❌✅❌❌UnknownN/A5.00/5.00 / 40.00Pro
Please note that some features listed (like specific API functionalities e.g., fine-tuning, batch processing, specific tool use like audio or transcription) may not be directly exposed or available within the Giselle interface even if supported by the underlying OpenAI model.

​
GPT-5 Series Models

Introducing the GPT-5 series, OpenAI’s latest and most advanced family of models. These models set new benchmarks for performance across a wide range of tasks, featuring enhanced reasoning capabilities, faster speeds, and improved efficiency.

​
gpt-5

GPT-5 is OpenAI’s flagship model, setting a new standard for coding, complex reasoning, and agentic tasks across various domains. It features built-in expert-level intelligence and a deeper reasoning engine, making it exceptionally capable for multi-step problems, technical writing, and analyzing text, code, and images. It supports web search functionality.
  • Context Window: 400,000 tokens
  • Max Output Tokens: 128,000 tokens
  • Knowledge Cutoff: October 1, 2024
  • Inputs: Text, Image
  • Availability: Pro Plan

​
gpt-5-mini

GPT-5 mini is a faster, more cost-efficient version of GPT-5, optimized for well-defined tasks. It balances intelligence, speed, and affordability while maintaining strong reasoning capabilities. It supports image inputs and web search, making it a versatile choice for many common use cases.
  • Context Window: 400,000 tokens
  • Max Output Tokens: 128,000 tokens
  • Knowledge Cutoff: May 31, 2024
  • Inputs: Text, Image
  • Availability: Pro Plan

​
gpt-5-nano

GPT-5 nano is the fastest and most cost-effective model in the GPT-5 series. It is designed for high-throughput tasks like summarization and classification, providing quick and efficient performance. It supports text and image inputs but does not include web search functionality.
  • Context Window: 400,000 tokens
  • Max Output Tokens: 128,000 tokens
  • Knowledge Cutoff: May 31, 2024
  • Inputs: Text, Image
  • Availability: Free Plan

​
Image Generation Models

These models are specialized in generating high-quality images from text and image inputs.

​
gpt-image-1

OpenAI’s state-of-the-art image generation model. It is a natively multimodal language model that accepts both text and image inputs and produces image outputs. The model offers different quality levels (Low, Medium, High) and supports various image dimensions, allowing for flexible generation based on use case requirements.
  • Pricing: Input text: 5.00per1Mtokens,Inputimages:5.00 per 1M tokens, Input images: 10.00 per 1M tokens, Output images: $40.00 per 1M tokens
  • Quality Options: Low, Medium, High
  • Supported Dimensions: 1024x1024, 1024x1536, 1536x1024
  • Knowledge Cutoff: April 2025 (estimate based on release date)
  • Inputs: Text, Image
  • Outputs: Image
  • Availability: Pro Plan

​
Model Selection Guide

Guidelines for selecting the optimal OpenAI model within Giselle:
  • For the best overall performance, coding, agentic tasks, and highest reasoning: gpt-5 (Pro)
  • For a faster, cost-efficient version of GPT-5 for well-defined tasks: gpt-5-mini (Pro)
  • For the fastest, most cost-effective version of GPT-5 for summarization and classification: gpt-5-nano (Free)
  • For high-quality image generation from text or image inputs: gpt-image-1 (Pro)

​
Practices for Giselle

We recommend gpt-5 as the versatile primary model in Giselle for Pro users. It offers an unparalleled balance of capability, intelligence, and features (including web search via tool) across various tasks like complex coding, business document creation, in-depth analysis, and advanced research. GPT-5 is designed to be highly reliable and accurate, significantly reducing hallucinations and improving instruction following. For Pro users requiring a balance of speed and cost-efficiency for well-defined tasks, gpt-5-mini is an excellent choice, maintaining strong reasoning and multimodal capabilities. For Free plan users or those prioritizing the fastest and most cost-effective solution for high-throughput tasks like summarization and classification, gpt-5-nano is the recommended model. Automatic Fallback for Deprecated Models: Giselle now automatically maps previously available OpenAI models to the new GPT-5 series to ensure a seamless transition for existing workflows.
  • Models now mapping to gpt-5 (Pro): gpt-4o, o3, gpt-4.1, o1, gpt-4-turbo, gpt-4, gpt-3.5-turbo
  • Models now mapping to gpt-5-mini (Pro): o4-mini, gpt-4.1-mini, o3-mini, o1-mini, gpt-4o-mini
  • Models now mapping to gpt-5-nano (Free): gpt-4.1-nano
For image generation needs, gpt-image-1 provides high-quality results and supports both text and image inputs. The model offers different quality tiers to balance cost and detail based on specific requirements. By combining these models in workflows, you can leverage their specific strengths. For example, use gpt-5 for its advanced reasoning and coding, gpt-5-mini for cost-efficient tasks, or gpt-5-nano for rapid, high-volume operations. For detailed specifications and the full range of models offered directly by OpenAI, please check the Official OpenAI Documentation.