All Models
OpenAIReasoningProprietary Commercial APIReleased: 2026-03-26

GPT-5.4 Pro

March 2026 professional reasoning powerhouse from OpenAI, achieving 87.2% on SWE-bench Verified and 91.5% on GPQA Diamond with scalable test-time verification.

Foundation DNA95/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

500k

~375k words input

Token Pricing

$10 / $40

Prompt / Completion per 1M

Top Benchmark

87.2 % resolved

SWE-bench Verified

Hardware Tier

Cloud Managed

Zero local VRAM

6-Axis Foundation Model DNA

Holistic Capability Distribution

Normalized 0-100 rating vectors balanced across intelligence, throughput, and economics.

Overall Index:95/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 96/100 (Window Horizon)
ReasoningGPQA / Logic / Math
99/100
CodingSWE-bench / LCB
98/100
SpeedTokens / Second
76/100
EconomicsCost Efficiency
72/100
ContextWindow Horizon
96/100
FlexibilityTool Use & Open
97/100
Performance Evaluations

Verified LLM Benchmarks

Empirical evaluations across academic reasoning, software engineering, agentic execution, and human preference.

SWE-bench Verified Headline
87.2% resolved
swebench.harness
CodingOpenAI Technical Documentation
GPQA Diamond Headline
91.5% pass@1
Inspect
Academic ReasoningOpenAI Technical Documentation
Chatbot Arena Elo Headline
1520Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
MATH-500 Headline
99.2% pass@1
lm-eval-harness
MathematicsOpenAI Technical Documentation
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

Empirical telemetry benchmarking generation throughput (Tokens/Second) and Time to First Token (TTFT).

Peak Generation Speed
68tokens/sec

Measured under concurrent production load

Lowest Time to First Token
450ms

p95 latency: 1250 ms

Telemetry Verification
99.96%uptime

Across 2,600 monitored requests

Production Trade-Offs

Architectural Strengths vs. Operational Considerations

An objective technical balance sheet analyzing deployment advantages and production constraints.

Operational Advantages

Key Architectural Strengths

  • 87.2% on SWE-bench Verified establishes industry-leading repository problem solving.
  • GPQA Diamond exceeds 91% on doctoral-level scientific questioning.
  • Price reduction to $10 / $40 makes top-tier reasoning broadly accessible.
Production Constraints

Operational Considerations

  • Extended thinking can consume considerable output tokens on long mathematical derivations.
Technical Specifications

Hardware & Execution Parameters

Architecture Typehybrid-reasoning
Total ParametersProprietary
Attention MechanismSliding-Window
Context Window500,000 tokens
Max Output Tokens96,000 tokens
Supported Modalities
textimageaudio
License Typeproprietary
Commercial Use Allowed
Model DistillationProhibited
Zero Data RetentionAvailable
Knowledge Cutoff2026-01
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Professional tier reasoning release in the GPT-5.4 wave.

Base Precursor

openai gpt 5 2 pro

Current Architecture

GPT-5.4 Pro

openai gpt 5 4
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Multi-layered reasoning architecture featuring dynamic test-time tree search and self-checking verifier networks.

Evaluation Profile & Reasoning Capabilities

Autonomous repo-scale bug reproduction, symbolic math proofs, and legal contracts.

Inference Economics & Cost Optimization

$10 / $40 per 1M tokens with prompt caching read discounts.

Primary Production Workloads & Suitability

Mission-critical software development
Scientific theorem modeling
Enterprise regulatory audits
Compute & Deployment Architecture

Cloud Deployment Architecture & Hardware Sizing

Cloud Deployment Architecture

Distributed enterprise serving infrastructure, autoscaling semantics, and runtime execution profile.

Cloud APIZero Local VRAM Required

Proprietary commercial model hosted on managed multi-region clusters with automatic autoscaling, high availability, and prompt prefix caching.

SLA: 99.9% Cloud Availability
Rate Limit: Scaled via Provider Quota
Cache: Automatic Prefix Compression
Serving Model

Multi-Tenant Cloud API

Continuous autoscaling with regional failover

Hardware Overhead

0 GB Local VRAM

Inference executed on hyperscaler accelerator clusters

Context Capacity

500k tokens

Supported with automated KV cache prefix compression

SDK Installation

$npm install openai
$pip install openai
Inference Economics & Total Cost of Ownership

Commercial Token Rates & Cost Estimator

Base Input Tokens

$10.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$40.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$1.00 / 1M

Re-used prompt prefix context

Monthly Production Cost Simulator

Daily Prompt Ingestion5M tokens/day (~150M/mo)
Daily Completion Generation1M tokens/day (~30M/mo)
Prompt Prefix Cache Hit Rate40%
Estimated Monthly Spend

$2,160.00

Includes prompt caching

Monthly Cache Savings

-$540.00

Saved via prefix context caching

Frontier Alternatives

Comparable Foundation Architectures

Alternative foundation models with comparable intelligence benchmarks, context windows, and deployment profiles.

AnthropicReasoning

Claude Opus 4.7

Claude Opus 4.7 expands context to 400k tokens and incorporates multi-agent reasoning verification, pushing frontier AI science and formal theorem proving.

Context:400k ctx
Parameters:Proprietary
Input Rate:$12/1M
Compare Architecture
OpenAIReasoning

GPT-5.4

March 2026 foundation model standardizing 83.8% SWE-bench Verified coding precision, 500k context, and $3/$12 economics for enterprise agent automation.

Context:500k ctx
Parameters:Proprietary
Input Rate:$3/1M
Compare Architecture
OpenAIDecision

OpenAI Decisions

OpenAI Decisions is OpenAI's dedicated high-throughput decision-making API powered by GPT-6 Luna, accessed via the POST /v1/decisions endpoint. Designed for agent routing, automated content moderation, and classification, it processes typed questions (predicates, categorical choices, and rubric scores) roughly 10x faster than standard generation, billed at $0.10 per million input tokens with zero output-token fees.

Context:128k ctx
Parameters:Proprietary (GPT-6 Luna Decision Engine)
Input Rate:$0.1/1M
Compare Architecture
OpenAIGeneral

GPT-3.5 Turbo

OpenAI's foundational conversational model that launched the ChatGPT era, optimized for fast dialogue, summary generation, and lightweight JSON tasks.

Context:16.385k ctx
Parameters:Proprietary
Input Rate:$0.5/1M
Compare Architecture
Developer Quickstart

SDK Installation & API Integration

$npm install openai
$pip install openai
import OpenAI from 'openai';

const client = new OpenAI();
const completion = await client.chat.completions.create({
  model: 'gpt-5.4-pro',
  messages: [{ role: 'user', content: 'Audit this cryptographic protocol for side-channel timing leaks.' }],
});
console.log(completion.choices[0].message.content);
Knowledge Base

Frequently Asked Questions about GPT-5.4 Pro

Engineering specifications, VRAM sizing, commercial licensing terms, token economics, and empirical benchmark evaluations.

GPT-5.4 Pro resolves 87.2% of real-world GitHub issues on SWE-bench Verified.

Verified Engineering FAQ
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