Imagine yourself as a developer creating a research assistant with GPT-5.4. This agent can retrieve documents, summarize findings, and answer follow-up questions over several interactions. Early tests show strong reasoning, but as the agent combines retrieval, tool use, and generation, delays can increase. For interactive experiences these delays are important. So many teams use a multi-model approach: a larger model handles planning while smaller models quickly complete subtasks at scale.
That’s where GPT-5.4 Mini and GPT-5.4 Nano help. These smaller versions are built for developer tasks needing low latency, cost savings, and flexibility, now available in Microsoft Foundry. They give you more options for efficient agent design.
GPT 5.4 Mini: Efficient Reasoning for Production Workflows
GPT 5.4 mini combines the strengths of GPT 5.4 into a smaller, more efficient model for tasks needing quick responses. It’s a step up from GPT-5 mini in coding, reasoning, understanding images and text, and using tools while running about twice as fast.
- Text and image inputs let you create experiences that use both prompts and images like screenshots.
- You can reliably use tools and call APIs to support agent workflows.
- Web and file search features help ground responses in outside or company content during multi-step tasks.
- Computer use support implies the model can understand the software’s UI and take specific actions as needed.
Where Gpt-5.4 Mini Thrives
- Developer, copilots and coding assistants benefit from quick coding help, code review suggestions and fast feedback loops where speed is important.
- Multimodal developer workflows include apps that can read screenshots, understand UI states, or process images during coding and debugging.
- Computer use sub-agents are fast helpers that take specific actions in software such as navigating UIs or handling repetitive tasks, all within a larger agent system managed by a planner model.
GPT 5.4 Nano: Ultra Low Latency Automation at Scale
GPT 5.4 Nano is the smallest and fastest model built for low latency, low cost API use at volume. It excels at quick tasks like classification, extraction and ranking as well as at simple sub-agent jobs where speed and cost matter more than deep reasoning.
- It follows instructions while sticking closely to what developers want in short clear tasks.
- It can reliably call tools and APIs for agent and automation tasks.
- It’s tuned for common programming tasks that require quick results.
- It supports image inputs so it can handle basic image interpretation along with text.
- It’s designed to give fast, efficient responses at scale while keeping costs low.
Where GPT 5.4 Nano Thrives
GPT 5.4 Nano works best when you need reliable results at high volume and your tasks are quick and clearly defined.
- It’s great for classification and intent detection as well as for quickly labeling and routing lots of requests.
- It can extract structured fields from text, check formats, and standardize outputs.
- It helps with ranking and triage like re-ordering candidates, prioritizing tickets or leads, and picking the next best action when speed is important.
- It can handle guardrails and policy checks such as simple safety and policy reviews, prompt filtering and making enforcement decisions before sending tasks to schools or biggie. It’s useful for high-volume text processing such as batch transformations, data cleanup, duplicate removal and content normalization where cost and speed are key.
- It can route and prioritize jobs at the edge, choosing the right workflow template, queue, or model for each request when speed is critical.
Choosing The Right GPT-5.4 Model
With Microsoft Foundry, you can use different GPT 5.4 models at the same time. This lets teams send each request to the model best suited to its specific requirements. Here is a simple way to evaluate which model to use:
| Model | Best suited for. | Typical workloads. |
| GPT 5.4 | Sustained multi-step reasoning with reliable follow through. | Agentic workflows, research assistants, document analysis, complex internal tools. |
| GPT 5.4 PRO | Deeper, higher reliability reasoning for complex production scenarios. | High-stakes agentic workflows, long-form analysis and synthesis, complex planning, advanced internal co-pilots. |
| GPT-5.4 Mini | Balanced reasoning with lower latency for interactive systems. | Real-time agents, developer tools, retrieval, and augmented applications. |
| GPT 5.4 Nano | Ultra low latency and high throughput. | High Volume Request Routing Real Time Chat Lightweight Automation |
Responsible AI In Microsoft Foundry
At Microsoft, our objective is to empower people and organizations. As AI becomes more common, trust is vital to adoption and building that trust means being transparent, safe, and accountable. Microsoft Foundry offers governance tools, monitoring, and evaluation features to help organizations use GPT-5.4 models responsibly in production following Microsoft’s responsible AI principles.
Pricing
| Model | Deployment. | Input USD/M token | Cached input USD/m tokens | Output USD/m tokens |
| GPT 5.4 Mini | Standard Global | $0.75 | $0.075 | $4.50 |
| GPT 5.4 Nano | Standard Global | $0.22 | $0.02 | $1.25 |
The models are available in data zone US and will soon be available in data zone EU.
Try the models in Microsoft Foundry sign in, browse the catalog, compare Mini and Nano with other options, and choose the best fit for your workload.
Source: Introducing OpenAI’s GPT-5.4 mini and GPT-5.4 nano for low-latency AI
