OpenAI/gpt-5.4-pro

Supported Functionality

ItemSpecificationInputText, ImageOutputTextContext1,050,000 tokens (approx. 922,000 input + 128,000 output)Max Output128,000 tokensVision✓ SupportedFunction Calling✓ Supported (tool use, file search, code interpreter, etc.)

Description

Released by OpenAI alongside GPT-5.4 on March 5, 2026, GPT-5.4 Pro is the enhanced-reasoning tier of the GPT-5.4 unified architecture. It applies additional compute on top of the standard GPT-5.4 model (with reasoning effort configurable up to "xhigh"), trading response speed and a higher per-token price for higher, more consistent accuracy on complex reasoning and professional tasks. Its knowledge cutoff is August 2025.

Compared to standard GPT-5.4, GPT-5.4 Pro is more narrowly focused: the standard model supports the full agentic tool stack, including native computer use, making it well-suited to broad everyday and automation scenarios, while Pro drops some of those platform features to concentrate compute on chain-of-thought reasoning itself. This positions it for high-stakes, high-complexity tasks — such as legal analysis, financial modeling, and scientific reasoning — where a higher accuracy ceiling matters more than breadth of capability.

Key Capabilities

Deep chain-of-thought reasoning: Supports an "xhigh" reasoning effort setting, investing more compute in multi-step logic and complex problem decomposition to reduce reasoning errors. Massive long-context analysis: A 1,050,000-token context window (roughly 922K input + 128K output) can hold entire large codebases, regulatory filings, or multiple research reports at once. Professional knowledge work: Inherits GPT-5.4's strong GDPval performance (83.0% for the base model), with Pro pushing the accuracy ceiling higher on similarly demanding tasks. High-stakes decision support: Built for financial modeling, legal due diligence, and other scenarios where accuracy requirements leave little room for error. Multimodal input understanding: Accepts mixed text and image input, enabling combined analysis of charts, screenshots, and other visual material. Tool use & file handling: Supports function calling and file search, allowing integration into professional workflows and agentic systems.

Technical Strengths

FeatureBenefitCompute-for-accuracy tradeoffLower error rates than standard GPT-5.4 on complex reasoning tasks, suited to scenarios with strict correctness requirementsMillion-token context windowProcesses large document collections in a single pass, avoiding information loss from chunkingConfigurable reasoning depthReasoning effort adjustable from none to xhigh, balancing speed and accuracy by task difficultyReasoning-focused, not breadth-focusedDrops some agentic platform features (e.g., native computer use) to concentrate compute on core reasoning qualityInherits unified architectureBuilt on the GPT-5.4 system that absorbed GPT-5.3-Codex's frontier coding capabilities, combining reasoning and code understandingElevated safety postureClassified as "High" cybersecurity capability under the Preparedness Framework, with trusted access controls and additional safeguards

Capability Ratings

DimensionRatingNotesReasoningTop-tierThe xhigh reasoning setting is purpose-built for the hardest problems, giving Pro the highest accuracy ceiling in the GPT-5.4 familyCodingExcellentInherits GPT-5.4's unified coding capability, performing reliably on complex engineering problemsCreative WritingStrongOfficial positioning centers on professional reasoning and knowledge work rather than creative writingMultimodalStrongSupports text and image input; audio and video are not emphasized in official materialsResponse SpeedSlowPrioritizes accuracy over speed, with noticeably higher latency than standard GPT-5.4 — not suited to real-time use casesContext WindowHuge1.05M tokens, matching standard GPT-5.4 and among the largest context windows available at the time

Use Cases

Financial modeling & investment analysis: Handles complex valuation models and due-diligence documents, producing conclusions where reliability is paramount. Legal & compliance research: Analyzes lengthy contracts and regulatory filings to identify key clauses and potential risk points. Research-grade complex reasoning: Supports multi-step scientific problem solving and experimental design review requiring rigorous logic. Large-scale document synthesis: Uses the million-token context to process multiple long documents at once for cross-referencing and comprehensive analysis. High-stakes decision support: Provides more robust conclusions in scenarios where accuracy outweighs speed, such as strategic decisions or audits. Professional code review: Combines inherited coding capability with deep reasoning for architecture-level code review and risk assessment.