gpt-5
Full-scale flagship OpenAI model. Delivers state-of-the-art reasoning, creativity, coding, and multimodal support. Handles long contexts (hundreds of thousands of tokens) and complex workflows.Best for:
Enterprise-grade copilots, advanced software development, strategic research, product/financial/legal analysis, high-quality multimodal content generation. Best when you need maximum depth and reliability.
| Input | Output | |
|---|---|---|
Text, image | Text / JSON (API) |
This model offers
- * 400,000 context window
- * 128,000 max output tokens
- * September 30, 2024 knowledge cutoff
gpt-5-chat
This use case employs OpenAI’s foundational GPT-5 model (which is the default model in the ChatGPT interface). It is a general-purpose multimodal reasoning engine designed to understand, generate, and synthesize complex information in a coherent and contextually relevant manner, simulating a fluid human conversation without requiring a specific “chat” model.Best for:
General conversational interaction and multimodal reasoning. Ideal for answering questions, generating creative and explanatory content, summarizing documents, translating languages, analyzing images, and serving as a versatile virtual assistant across a wide range of non-specialized tasks.
| Input | Output | |
|---|---|---|
Text, image | Text, Image, Code |
This model offers
- * 400,000 context window
- * 128,000 max output tokens
- * September 30, 2024 knowledge cutoff
gpt-5-codex
A specialized version of OpenAI’s GPT-5 model, optimized for automated and agent-assisted software engineering tasks. It uses dynamic reasoning to be fast at small tasks and deep at complex projects that can take hours.Best for:
Comprehensive software development, including: complete project generation, new feature development, debugging, large-scale refactoring, code review, test generation, and autonomous coding agent tasks (in CLI, IDE, or Cloud environments).
| Input | Output | |
|---|---|---|
Text, Image, Code | Text |
This model offers
- * 400,000 context window
- * 128,000 max output tokens
- * September 30, 2024 knowledge cutoff
gpt-5-mini
A lighter and faster variant of GPT-5. Preserves strong reasoning and coding ability, but optimized for lower latency and cost. Good balance between performance and efficiency.Best for:
A lighter and faster variant of GPT-5. Preserves strong reasoning and coding ability, but optimized for lower latency and cost. Good balance between performance and efficiency.
| Input | Output | |
|---|---|---|
Text, Image | Text / JSON (API) |
This model offers
- * 400,000 context window
- * 128,000 max output tokens
- * May 30, 2024 knowledge cutoff
gpt-5-nano
Ultra-light, low-latency model. Prioritizes speed and efficiency over advanced reasoning. Best for lightweight tasks where response time and throughput matter more than nuance.Best for:
Real-time assistants, mobile/edge use cases, autocomplete, customer service chat, high-volume RAG queries. Best when cost + speed > deep reasoning.
| Input | Output | |
|---|---|---|
Text, Image | Text / JSON (API) |
This model offers
- * 400,000 context window
- * 128,000 max output tokens
- * May 30, 2024 knowledge cutoff
gpt-4o
OpenAI’s high-intelligence flagship model for complex, multi-step tasks. GPT-4o is cheaper and faster than GPT-4 TurboBest for:
Multimodal copilots (voice, image, video), real-time assistants, design/code reviews, customer-facing apps, and enterprise agents that require both contextual reasoning + speed.
| Input | Output | |
|---|---|---|
Text, Image, Audio, Video, Code | Text, Audio, Image (limited) |
This model offers
- * 128,000 context window
- * 16,384 max output tokens
- * October 1, 2023 knowledge cutoff
gpt-4o-mini
OpenAI’s affordable and intelligent small model for fast, lightweight tasks. GPT-4o mini is cheaper and more capable than GPT-3.5 TurboBest for:
Scalable chatbots, QA systems, RAG pipelines, lightweight coding assistants, and UX/product copilots where cost efficiency + responsiveness matter.
| Input | Output | |
|---|---|---|
Text, Image, Code | Text |
This model offers
- * 128,000 context window
- * 16,384 max output tokens
- * October 1, 2023 knowledge cutoff
gpt-4.1
GPT-4.1 is the flagship model of the new 4.1 family, excelling in coding, following complex instructions, and managing long contexts (up to 1 million tokens), making it the powerful go-to choice for demanding applications.Best for:
Advanced data analysis, high-fidelity content creation, software architecture design, and analytical copilots requiring maximum reliability and depth.
| Input | Output | |
|---|---|---|
Text, Code | Text |
This model offers
- * 1,000,000 context window
- * 32,000 max output tokens
- * June 1, 2024 knowledge cutoff
gpt-4.1-mini
GPT-4.1 mini is optimized for speed and efficiency, being 40% faster then GPT-4o. GPT-4.1 mini offers a balanced approach with robust performance for simpler or time-sensitive tasks, providing faster response times compared to its more feature-rich counterpart.Best for:
Mid-complexity workflows: documentation QA, data summarization, low-latency coding copilots, or iterative product feedback systems.
| Input | Output | |
|---|---|---|
Text, Code | Text |
This model offers
- * 1,000,000 context window
- * 32,000 max output tokens
- * June 1, 2024 knowledge cutoff
gpt-4.1-nano
GPT-4.1 nano is the smallest, fastest, and most cost-effective option of the GPT-4.1 family. GPT-4.1 nano is ideal for high-volume applications such as autocomplete, classification, and extracting details from lengthy documents while maintaining a strong performance profile.Best for:
Autocomplete, message classification, semantic search ranking, basic natural-language logic tasks, and embedded AI tools. Ideal for speed-critical micro-agents.
| Input | Output | |
|---|---|---|
Text | Text |
This model offers
- * 1,000,000 context window
- * 32,000 max output tokens
- * June 1, 2024 knowledge cutoff
gpt-image-1
OpenAI’s most advanced image generation model. It is natively multimodal, allowing it to generate and edit high-quality images with superior contextual understanding, following complex instructions and reasoning about visual and text inputs.Best for:
Generation and editing of photorealistic and stylized images for commercial use, web design, social media, and creative applications. It excels at following detailed instructions, rendering precise text within images, and agent tasks involving the comprehension of visual designs.
| Input | Output | |
|---|---|---|
Text, Image | Image |
Information provided from OpenAI website.