> ## Documentation Index
> Fetch the complete documentation index at: https://documentation.deepmask.io/llms.txt
> Use this file to discover all available pages before exploring further.

# GPT-5 Series

> GPT-5.2, 5.3, and 5.4 cover the full spectrum from production workhorse to autonomous agent with computer use. GPQA scores up to 92.4%.

The GPT-5 series represents OpenAI's frontier generation of models available in DeepMask. Each variant is tuned for a different point on the speed-intelligence-autonomy spectrum — GPT-5.2 as a fast, reliable production model; GPT-5.3 as an agentic coding specialist; and GPT-5.4 as the most capable general-purpose agent with native computer control. All three handle chat, document and image analysis, and tool use at the highest level.

## About the GPT-5 Series

GPT-5.2 is the "Goldilocks" model of the series — 25% faster than the original GPT-5 while maintaining the precision required for professional environments. GPT-5.3 is purpose-built for autonomous software engineering, with terminal-first training that lets it manage environments, run tests, and iterate on compiler errors. GPT-5.4 introduces a configurable reasoning effort parameter, native OS-level computer control, and a 33% reduction in hallucinations compared to earlier GPT-5 variants.

## Key Capabilities

<CardGroup cols={2}>
  <Card title="High-Density Spreadsheet Logic" icon="table">
    Excels at complex Excel automation and multi-dimensional financial modeling, with reliable adherence to negative constraints.
  </Card>

  <Card title="Autonomous Code Engineering" icon="code">
    GPT-5.3 natively understands shell commands, git workflows, and CI/CD logs — it doesn't just write code, it manages environments.
  </Card>

  <Card title="Computer Use API" icon="desktop">
    GPT-5.4 clicks, types, and navigates GUI applications natively without third-party wrappers, acting as a digital employee.
  </Card>

  <Card title="Configurable Reasoning Effort" icon="sliders">
    GPT-5.4 offers five reasoning levels from "none" (fast chat) to "xhigh" (deep research and verification), per request.
  </Card>
</CardGroup>

## Best For

Use **GPT-5.2** for everyday enterprise productivity — corporate communications, financial data extraction, and strategic brainstorming — where speed and reliability are equally important. Use **GPT-5.3** when you need autonomous software engineering: legacy migration, autonomous QA, or multi-language architecture work. Use **GPT-5.4** when you need the most capable, self-directed agent for end-to-end enterprise automation, deep scientific research, or massive cross-language refactoring.

<Tip>
  For agentic coding tasks, GPT-5.3's terminal-first training makes it significantly more reliable than general-purpose models — set up your system prompt with your repo structure and let it iterate autonomously rather than prompting step by step.
</Tip>

## Use Cases

* **Corporate communications** — Drafting READMEs, documentation, and internal reports with precise tone control.
* **Financial data extraction** — Pulling granular data from dense PDF reports into structured JSON.
* **Legacy codebase migration** — Converting entire systems from outdated frameworks to modern stacks.
* **End-to-end enterprise automation** — Filing expense reports, configuring software, and running test suites via GUI (GPT-5.4).
* **Deep scientific research** — Multi-step data synthesis and architecture decisions using maximum reasoning effort.

## Specifications

| Specification  | GPT-5.2                      | GPT-5.3                        | GPT-5.4                              |
| -------------- | ---------------------------- | ------------------------------ | ------------------------------------ |
| Provider       | OpenAI                       | OpenAI                         | OpenAI                               |
| Context Window | 400K tokens                  | 400K–1M tokens                 | 1.1M tokens                          |
| Reasoning      | High                         | Medium                         | X-High (configurable)                |
| GPQA Diamond   | 92.4%                        | 91.5%                          | 92.0%                                |
| Latency (TTFT) | 0.55s                        | 0.18s                          | 0.55s                                |
| Throughput     | 68 tokens/sec                | 150+ tokens/sec                | 65 tokens/sec                        |
| Key use cases  | Agentic tasks, STEM research | Chat, agentic coding, research | Global codebases, PhD-level research |

[Try the GPT-5 series in DeepMask →](https://chat.deepmask.io/)