gpt-5.2
GPT-5.2 is a highly capable general-purpose language model designed for advanced reasoning, long-context understanding, and instruction fidelity. It delivers stable, coherent outputs across complex tasks and extended conversations, while supporting multimodal inputs for richer and more contextual responses.Best for:
Complex reasoning, long-form generation, decision support, and multimodal chat experiences where accuracy, consistency, and instruction adherence are critical.
| Input | Output | |
|---|---|---|
Text, image | Text |
This model offers
- * 400,000 context window
- * 128,000 max output tokens
- * August 31, 2025 knowledge cutoff
gpt-5.2-chat-latest
GPT-5.2 Chat is a conversationally optimized variant of GPT-5.2, designed to deliver natural, responsive, and context-aware dialogue. It emphasizes turn-by-turn coherence, low-latency interactions, and strong instruction following in chat-based environments, while retaining advanced reasoning and multimodal understanding.Best for:
Interactive chat applications, assistants, customer support, and real-time conversational experiences where responsiveness, conversational flow, and contextual continuity are essential.
| Input | Output | |
|---|---|---|
Text, image | Text |
This model offers
- * 128,000 context window
- * 16,384 max output tokens
- * August 31, 2025 knowledge cutoff
gpt-5.1
GPT-5.1 is a reliable and efficient language model that offers strong general-purpose capabilities with balanced reasoning, instruction following, and text generation. It provides consistent performance across common NLP tasks while prioritizing stability and cost efficiency.Best for:
General-purpose text generation, summarization, content drafting, and standard chat or assistant workloads where reliability and efficiency are more important than maximum reasoning depth.
| Input | Output | |
|---|---|---|
Text, image | Text |
This model offers
- * 400,000 context window
- * 128,000 max output tokens
- * September 30, 2024 knowledge cutoff
gpt-5.1-chat-latest
GPT-5.1 Chat is a conversationally tuned language model optimized for responsive, natural dialogue and consistent instruction following. It builds on GPT-5.1’s stable core capabilities while prioritizing low-latency interactions and smooth conversational flow in chat-based applications.Best for:
Everyday chat assistants, customer support, guided interactions, and conversational interfaces where speed, clarity, and reliability are the primary requirements.
| Input | Output | |
|---|---|---|
Text, image | Text |
This model offers
- * 128,000 context window
- * 16,384 max output tokens
- * September 30, 2024 knowledge cutoff
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 |
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-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 |
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 |
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