All Models
OpenAIReasoningProprietary Commercial APIReleased: 2025-09-18

GPT-5 Pro

OpenAI's late-2025 flagship professional reasoning model, scaling test-time compute search over 500k context to achieve 81.2% on SWE-bench Verified and 86.8% on GPQA Diamond.

Foundation DNA92/100
HYBRID-REASONING ArchProprietary params
At a Glance Specifications
Context Window

500k

~375k words input

Token Pricing

$15 / $60

Prompt / Completion per 1M

Top Benchmark

81.2 % 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:92/100
ReasoningCodingSpeedEconomicsContextFlexibility
Context: 96/100 (Window Horizon)
ReasoningGPQA / Logic / Math
98/100
CodingSWE-bench / LCB
96/100
SpeedTokens / Second
72/100
EconomicsCost Efficiency
65/100
ContextWindow Horizon
96/100
FlexibilityTool Use & Open
96/100
Performance Evaluations

Verified LLM Benchmarks

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

SWE-bench Verified Headline
81.2% resolved
swebench.harness
CodingOpenAI GPT-5 Pro Technical Announcement
GPQA Diamond Headline
86.8% pass@1
Inspect
Academic ReasoningOpenAI GPT-5 Pro Technical Announcement
Chatbot Arena Elo Headline
1465Elo
LMSYS Blind Pairwise Battles
Human Preferencehttps://chat.lmsys.org/
AIME 2024 Headline
91% pass@1
official_report
MathematicsOpenAI GPT-5 Pro Technical Announcement
Real-Time Provider Telemetry

Inference Latency & Generation Throughput

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

Peak Generation Speed
60tokens/sec

Measured under concurrent production load

Lowest Time to First Token
510ms

p95 latency: 1420 ms

Telemetry Verification
99.95%uptime

Across 2,200 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

  • Unmatched reasoning rigor across high-stakes STEM, mathematical proofs, and code synthesis.
  • Generous 96k output token ceiling for synthesizing full application implementations.
  • 81.2% SWE-bench Verified score with zero regression on edge cases.
Production Constraints

Operational Considerations

  • Premium tier pricing ($15/$60 per 1M tokens) warrants prompt caching.
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 Cutoff2025-07
Model Heritage & Evolutionary Lineage

Genealogical Provenance

Flagship professional reasoning release in the GPT-5 generation.

Base Precursor

openai gpt 5

Current Architecture

GPT-5 Pro

openai gpt 5openai gpt 5 1
Engineering Deep-Dive

Architecture Engineering & Capability Deep-Dive

Topology & Attention Mechanics

Extended test-time tree search coupled with deep verifier models trained across formal mathematics and compiler outputs.

Evaluation Profile & Reasoning Capabilities

Exhibits autonomous multi-step planning, automated bug reproduction, and self-repairing unit test generation.

Inference Economics & Cost Optimization

$15 / $60 per 1M tokens with prompt caching read discounts.

Primary Production Workloads & Suitability

Mission-critical software engineering
Complex financial derivative pricing
Scientific hypothesis verification
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

$15.00 / 1M

Standard prompt context ingestion

Base Output Tokens

$60.00 / 1M

Generated completion & thinking tokens

Prompt Cache ReadUp to 80% Off

$1.50 / 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

$3,240.00

Includes prompt caching

Monthly Cache Savings

-$810.00

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 4.5

Anthropic's late-2025 flagship reasoning foundation model with expanded 300,000-token context, 82.6% on SWE-bench Verified, and breakthrough formal mathematical synthesis.

Context:300k ctx
Parameters:Proprietary
Input Rate:$15/1M
Compare Architecture
OpenAIReasoning

GPT-5

OpenAI's August 2025 generational leap, featuring native test-time reasoning integration, 500k context window, and state-of-the-art SWE-bench and mathematical scores.

Context:500k ctx
Parameters:Proprietary
Input Rate:$5/1M
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-pro',
  messages: [{ role: 'user', content: 'Prove the security guarantees of this zero-knowledge rollup protocol.' }],
});
console.log(completion.choices[0].message.content);
Knowledge Base

Frequently Asked Questions about GPT-5 Pro

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

GPT-5 Pro allocates higher test-time compute search depth, increasing SWE-bench Verified from 74.5% to 81.2% and expanding output capacity to 96,000 tokens.

Verified Engineering FAQ
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